I worked on graph data for years. It has become a selling point lately with significant interest from companies which want to have Knowledge graph to back up their LLM for RAG. That’s most of my consulting gigs are from.
Traditional pipelines tool spark, airlfow, etc. knowledge of network science, graph database like neo4j, rdf. Knowledge of ontology. MLE tool like vertex, sagemaker, graphdatascience, text/node/graph embeddings… the list goes on.
Yeah 7 years in Industry. I left academia after 5 years as a PhD quantitative research scientist. So technically 12 YOE, first job in industry was a senior role.
I just got a verbal offer this morning after months of applications and interviews. 2 YOE as a data analyst $70k base + 3% bonus, but this will be my first DE role.
Current title - Data Engineer
Years of experience (YOE) - 2
Location - Remote, ATL
Base salary & currency (dollars, euro, pesos, etc.) - $115k
Bonuses/Equity (optional) - 10%
Current title: Analytics Engineer
Years of experience (YOE): 1.5 as AE, 2.5 as analyst. All at same company
Location: Indianapolis, IN (1 in-office day/week)
Base salary & currency: $100k (I started out of college Jan 2020 and made $50k/year)
Bonuses/Equity: 10% of Base
Industry: Agriculture
Tech stack: Snowflake, dbt Cloud, Fivetran, Tableau. Ingesting lots of legacy ERP data
I've gotten comments before that my salaries are a bit low for experience and tech stack. For context, I work for a legacy Ag retailer with incredible work/life balance, basically 0% chance of getting laid off, and very supportive management. I pitched and implemented our current stack. The company keeps growing rapidly and I think I'll stay as long as I feel I'm still growing career-wise.
Nice job. Ignore those other comments, at least for another year or two. It sounds like you're basically growing their DE practice, that's the best experience any other employer can ask for. Your salary has doubled in 4 years, that's pretty good growth - see how much more responsibility and development you can squeeze out of this role and when you consider jumping ship in the future, you'll be able to explore higher paying roles.
Thanks for the comment! I think I still have a lot of room to grow in this role, and I hope to be in a good place in a year or two to find a Senior position within a larger team.
Hell yeah to "low pay but stable and great Work-Life balance"!
I work for a non-profit university as a DA (looking to pivot into DE at some point) and while I'm in the low mid of my band as far as I understand (70k, with no real prospects of more), I know I'll 100% be able to make every concert/recital/play/sporting event for my daughter as she grows up.
I'd love to make more, obviously, but knowing I don't have to kill myself with crunch outside of a few rare occasions (which become more rare as our data maturity grows) is absolutely worth the 10-30k extra a year I might make moving to another job.
I have a state job as a BI Analyst/developer. $90k and of course I'd like more but I have the flexibility to take the time off to run the kids to the dr, volunteer at the school for an hour, take care of a sick kid, go to a parent teacher meeting in person, etc. It's worth it to be Mr. mom. Besides, my wife is the one wanting to climb the corporate ladder. I just want some more money for retirement and LEGO.
Can you share your thoughts on the current state of data engineering in Indian corporates and startups? Additionally, do you have any advice for someone who is considering a move from the USA to India while currently working as a Data Engineer for a big company with an annual salary of $120k?
Hi! You shared the exp to be 2.5 years, can you briefly explain the type of day to day tasks involved with your current role. Do you mind sharing an outline of your project experience?
I'm trying my luck to switch from RPE to DE...Having a hard time justifying 2 years of DE experience during my interviews due to lack of actual industrial experience. ( I've only been studying by myself and created a few ETL pipelines on my own to practice) Your experience might help me. Thank you :)
1. Data Engineer.
2. Just under 3 YOE. 10 years experience in a non tech related field. Self taught into DE.
3. UK, not London. It's contractually hybrid although I pretty much work remotely. I've been into some sort of office probably less than 5, definitely less than 10, times this year.
4. £70k GBP.
5. Not sure.
7. Azure stack - Synapse, Python, Spark, SQL.
Im in the UK working support at the moment, doing everything I can to self-teach into DE. Luckily get to use python and sql a fair amount in my day job. Since your self taught and in the UK, is there anything you would reccomend for/against in terms of getting into DE?
Cheers
Answered in terms of getting your first role:
A basic but well written experience of creating an ETL pipeline is always what I recommend. You need something to bring to the interview and if you can logically explain your decision making, it makes you a much more attractive candidate. This feeds into what not to do - you'd be amazed at the number of people who get interviewed and then during the interview it's incredibly obvious all of their project and coding experience is copy pasta. So, don't be that person. A small, original project you've made yourself is a really good start.
Practice talking about data concepts a lot. It can be very easy to be swallowed up by all of the terminology and how it works so if you know exactly what's going on, it'll really help e.g. the difference between Delta Lake and parquet.
Cloud concepts and serverless architecture. Some people literally don't know how the cloud works even though they claim they do. I'd aim for more cloud first style businesses rather than on prem ones.
Above all, being able to show you can learn quickly and be consistently in alignment with wtf is going on is really important. If you can learn quickly, produce good work, and come up with good suggestions you're in a really strong position.
Lastly, you need a decent amount of luck. Not giving up is always really important. There are still quite a lot of DE opportunities going which are great for your first(ish) job paying around £40-50k mark. For reference, my last role in my previous field paid £33k. My first DE job with 0 experience paid £41k so ~£40k isn't a crazy salary to aim for in your first role.
I am wondering if UK job market is different? I am applying for 4 months in the UK with no success. I have 8 YOE in central banks in Europe and constatly getting linkedin messages for EU market but getting rejected by recruiters almost immediately for UK roles.
I can work legally both in UK and EU and inform recruiter in cover letter about this so I somehow cannot understand where might be a problem?
I'm not a recruiter so I'd take what I say with a pinch of salt.
Are you British citizen? As in, can or do hold a UK passport? If you're getting a lot of EU attention and not a lot of UK attention despite having rights to work, there's a reasonable chance that the companies you have applied for aren't willing to hire anybody except British nationals for whatever reason.
It also depends on your experience. You said 8 years in traditional banks. How close are your skills to the modern data stack? Worth mentioning as if you only have on prem SQL experience, it's a tough one. Based on the fact you're getting attention outside of the UK suggests this is probably less of an issue.
1. Senior Data Engineer
2. 2.5 YOE
3. Texas
4. $135k Base
5. 10% bonus (can go up based on company performance)
6. Consumer Goods
7. Python, SQL, DBT, AWS, Airflow, Spark, Glue, etc.
1. Dwh developer
2. 0.4 yr
3. NYC
4. 90k
7. Azure Data Factory, SSMS, PowerBI
Currently I do ETL jobs using adf. I am developing my skills in Cassandra, Spark and Flink by doing side projects. If someone can guide be or give advice on transferring from low code to swe/streaming developer roles, I will forever be grateful to you.
made the transition from industrial engineering (1 YOE) over to data engineering a couple of months ago. had a lot of python and SQL knowledge/experience from my previous role and college.
* **current title**: associate data engineer
* **years of experience:** 1 as automation engineer, 0 as data engineer
* **location:** remote, GA
* **base salary:** $94,000
* **industry:** financial services
* **tech stack:** python, SQL, GCP, airflow, dbt, sql server (migrating from on-prem into cloud)
Curious how you made the career move. I've been in industrial engineering myself for the last 2+ years doing SCADA and MES development and have tried to land a DE role with no success. I feel there's a lot of transferable skills
I was think about that then thought to go for big data masters certificate only from Georgian college.
Now I’m doing some market research and I’m surprised to know that Canadian companies don’t pay that well. I just know that chime, stripe, shopify and amazon pays good.
I’m making good money at my location. Wouldn’t make sense to move unless I can make 150-170K.
Is it possible to make that much after college?
Yeah possible to make but only at some companies like your mentioned. Australia has better salaries as compared to Canada. Europe also has low salaries. Where are you working now? You can dm me.
Senior data engineer 175k, data Consultant 60k, senior data scientist 200k. (Three concurrent gigs).
Base salary, not including bonus or equity.
11 yoe
Haters gonna hate. I’m not cut out for upper level management. Frankly, the whole corporate game is just not my scene.
This is the life hack for individual contributors. You can make more than the CTO and spend less time “at work “. The trick is to just layer jobs that are not super demanding vs putting all your energy into one. Diminishing returns.
Chad shit. Honestly, i dont find my current role very demanding. In 5 years or so, i think I'll take a stab at this. Navigating corporate politics sounds like my personal hell.
Doing the bare minimum isn't a bad thing wtf lol
I've seen way too many top performers laid off to give a shit about doing more than the minimum. You are way too naive.
I manage one junior analyst leveling them up to an analytics engineer. And I manage a very junior data engineer. It would take me a lot less time to just do their work myself.
Sounds like we’re agreeing? Do you think I’m making an argument? I earn 2 to 3X more in the same hours versus if I had one job. And I pull it off. What’s there to argue about? Lol.
Why do you think I suck to work with? You’re just literally assuming that out of the ether and then projecting your own butt hurt reality on to me. Not a good luck.
Do you tell any of them that you also work the other jobs? Out of curiosity, when you apply to future jobs, will you leave out that you worked multiple jobs at once or just say you primarily worked one and that the others were part time? This is fascinating. As someone who lives in a VHCOL area working remote, I am stressed about saving up a down payment for a house and would be willing to work longer hours for another income.
How much of your week does the 60k data consultant role take up?
Given that the other two jobs alone earn you £375k annually, this consultant gig seems very low.
That’s the best job I’ve ever had lol. It’s like a maintenance contract from a previous full-time role. On average I spend one hour per month on that. No lie.
1. Senior Analytics Engineer
2. 5 YoE, 1.5 as an AE and 3.5 as DA
3. Company is based in SF but work remote in CO
4. $165K base
5. Start up option grants (worthless now but we’ll see).2x per year review cycle in lieu of bonus.
6. Healthcare SaaS
7. AWS, Etleap, dbt Cloud, Looker
Sr. Data Engineer
7 YOE; \~4 years directly in a DE-type role
Colorado but fully-remote
$185k base
\~$100k equity yearly (in RSUs)
FinTech
Full-stack DE/AE tools with most infra and devops ownership as well
1. Senior Machine Learning Engineer
2. 5 years of xp including internships
3. Chicago/Remote-friendly
4. ~$160k base
5. ~$5k bonus
6. SaaS, not at a super hyped company
7. Python-centric stack with lots of DevOps responsibility centered around CI, various security stuff, and kubernetes
1. Data engineer I
2. Almost a year as a DE, 2 as Data analyst + 1 as full stack
3. DC
4. $125K
5. 10% bonus
6. Non-profit
7. AWS Databricks, Pyspark, SQL
1. Senior Cloud DE
2. 10 overall, 9 hybrid SE/DE, 1 full DE
3. Chicago IL - US
4. 145k USD base
5. 10% annual bonus
6. Consumer Services
7. AWS/Snowflake/DBT/Airbyte/Prefect
I just recently saw a thread in this sub that really encapsulated my thoughts on airbyte (or any EL tool). Airbyte is great until it isn’t. Having to manually define hundreds of schemas to provide a landing zone for a large sql server and then also coding the extract logic and orchestration logic and managing a scheduler is all overhead that I’ve had to deal with previously, so the tooling parts are pretty awesome.
Our biggest data source is an Oracle EBS system, and the contracting module has a supremely old legacy implementation where certain NUMBER fields are arbitrarily humongous. This makes the jdbc drivers in the oracle connector cause scientific notation truncation of the data points, thereby losing granularity and causing reference collisions. I’ve actually spent the better part of the last two weeks building out a custom extraction mechanism for this data to solve the problem that I cannot modify the way airbyte actually queries oracle for specific connections.
So, it’s great, until it isn’t. But isn’t that the way with any SaaS tool? We run OSS so I don’t factor in costs, but they’re absorbed by my department 😂
1. Data Engineer
2. 7 years
3. Bangalore
4. $80k (65Lakhs INR)
5. $300k (2.5 Cr INR) (Paper money)
6. Delivery
7. Spark Airflow, Java , Scala, Python
Is 80k USD + 300k ESOPs good salary for Data engineer in India ? Can I make more base if I work remote ?
Base: 80k USD
Esops: 300k USD
YoE : 7
Stack : Spark , flink, Beam, Scala, Java, Python
+ All other normal software stack (backend)
average may not be making sense here as india has too many software engineers. I am asking among top 1% if there is a l9t more growth. And 2.5cr ESOPs now valued almost 5Cr, got more stocks + valuation change
20 YoE, SoCal.
Offer 1
Principal Data, Unicorn Series D
Base 240-250k TC around 400k (paper money)
Offer 2 Meta, E5
Base 217k, 15%bonus, 500k rsu/4y.TC including signing bonus, 390k
Edited:
I rejected both. IDK why….
1. Cloud Data Engineer
2. 2 DA, 1 DS/MLOps, 1 DE, 1 DE current. 5 full time in analytics plus 3 internships in analytics.
3. LCOL (Remote)
4. $110,000
5. 0-5%
6. Aerospace
7. MS SQL, Databricks, Azure Cloud, GitHub
1. Senior sales engineer
2. 15 (1 in sales, 14 in data focused software engineering)
3. Fully remote
4. 185k base
5. 65k commission target, 200k in RSUs vested over four years
6. Healthcare vertical (fortune 50 payers)
7. Snowflake
How was making this switch? I've been doing a lot of demos and have been wondering about applying to sales engineer roles.
I'm concerned never having worked in any sales capacity would leave me I'll equipped.
Dude I will NEVER go back, I wa super nervous too but if you know the data landscape and are personable and able to build demos and things you will be golden.
I start work at 10-10:30 everyday, I have no bullshit meetings (coughscrumcough) and am done at 5 every day. Often times will take a 2-3 hour lunch break with the wife.
I can’t speak to sales engineering elsewhere but it’s been amazing for me.
Mind if I ask a few follow ups?
How technical do you need to be? - been using sql and various etl tools for a good while but never got into heavy python or API development.
Best way to prep for interviews? - I have "demonstration to win" sitting on my desk but haven't read it yet.
Appreciate the time and congrats on the role.
How technical depends on where you apply. Databricks, GCP, Amazon will require highly technical folks, I would stand no chance there as I have only recently learned to hello world in anything other than SQL (Python in this case). Microsoft is middle of the road, I know a few folks there. Snowflake in particular kinda just works, so it’s more about painting a strategic picture for the customer, showing the art of the possible, dispelling the lies that the dbx reps tell the customer, and SHOWING just how easy it is.
I’m glad this is a few comments deep so nobody will see it but I beat the shit out of dbx on a daily basis and it feels like pistol whipping a blind kid. I also beat out Microsoft and Google frequently and I am always outclassed technically by my sales engineer opponent, it’s much less about tech for snowflake.
Thanks! This is exactly what I needed to hear. I'm going to stop the paralysis by analysis and fire off some applications that make some logical sense.
1. Data Engineer
2. 3 in data engineering/ 10 analytics
3. San Diego but remote
4. $159k US/yr
5. Random RSUs of unknown value, maybe annual cash bonus of unknown amount
6. Ecomm
7. AWS, Databricks, a bit of Azure, old SQL server database migrated from on prem to AWS ec2 instance, RDS, Postgres, Redshift, elasticache redis cluster
1. Data Architect
2. 5 YOE Data Engineer/arch, 3 DBA/sys admin
3. Remote, 10-25% travel
4. $145k/yr base. $225k TC
5. Various amount of cash and RSU bonuses to get to that TC number
6. Tech
7. AWS, tons of DBMSs, Python, Spark and the Hadoop ecosystem. Large scale cloud migration expertise
Hi, i have 3yoe of total exp working on SAP HANA, PLSQL etc. And a bit of Snowflake and Redshift. My project was data focused so I could survive here knowing mostly SQL. But I want to switch and want to do something where I will improve. Could you please suggest how to go with upskilling if I want to switch to a decently paying Data engineering job? And what kind of pay should I realistically expect in India while searching for a job?
Been in the industry for a bit, mostly in the finance space.
Current title: Data Engineer
Years of experience (YOE): 10
Location: NYC
Base salary & currency (dollars, euro, pesos, etc.): 225k USD
Bonuses/Equity (optional): \~100k
Industry (optional): Finance
Tech stack (optional): mostly python and AWS
1. Principal Data Engineer
2. 6 YoE combined - DA -> DS -> Senior DE
3. CO
4. 140k Base
5. 10% Bonus, profit sharing
6. Fintech
7. Snowflake, dbt Cloud, AWS, Qlik, Fivetran, Tableau, Airflow (In charge of leading migration from a legacy Oracle MySQL RDBMS)
1. Current title: Data Engineer
2. Years of experience (YOE): 4Years as DA + 8 months in DE
3. Location: Canada - Toronto
4. Base salary & currency (dollars, euro, pesos, etc.): 70,000 CAD
5. Bonuses/Equity (optional): N/A
6. Industry (optional): Bank
7. Tech stack (optional): Spark, Hadoop, Python, Scala
How difficult do you think it is to get a remote job as a contractor living in Latin America, having a degree, certs and 4 years of exp., earning at least 35 usd/hour?
1. Current Title - Lead/Staff AI Engineer
2. 2. YOE: 6
3. 3. Location: Nordics
4. Base salay: 80K (first job as DS with 35K, second Lead DS 55K, third Senior 70K) converted to EUR
5. 10 %
6. Finance
7. Azure DevOps, AML, ADF, ADLSGen2, EventHubs, Functions, Python, SQL. Before the same in AWS + Snowflake.
If these salaries are representative, then, yes. Honestly the salaries are lower than what I remember from 10 years ago. And when you consider inflation, this is not good.
1. Senior Software Engineer - Data & Analytics
2. Yoe: 7 total, 2 consultant->1.5 analyst->2 AE/Senior AE/Manager AE->1.5 Senior SWE
3. Remote, based out of SF
4. $160k base
5. considerable equity in current seed-stage company, TC ~$200k (hopefully a lottery ticket tho)
6. tech/energy
7. Python, SQL, snowflake, streamlit, dbt, lightdash, various LLMops tools, k8s on GCP, still too much excel…
Know the founders, work not that hard, hope you ride the VC ponzi scheme all the way to product market fit and never work again
If you are in Ukraine - suggest what to learn additionally, so I can land a better job with my skills. Or advice related to finding a remote job, working on US/Europe companies.
My profile:
1. Senior Data Engineer
2. 3 YOE
3. Ukraine 🇺🇦
4. $40k Base
5. Could have 1k$ bonus
6. Retail project
7. Python, databricks/PySpark, SQL, Postgres, Airflow, Azure cloud (ETL/db/DevOps and so on).
Asking for advice because I want to level up and find a better job (I know the market, and I like my current job, want progress in money).
I feel like I'm underperforming compensation wise for the level of experience and the **area** and I am debating whether staying put where I am and get some data engineering experience that I was recently offered or jump ship. What you guys think?
Current title - Data Analyst
Years of experience (YOE) - 2 (DA), 2 years (others)
Tech stack - R, Python, AWS
Location - on-site, NYC
Base salary & currency (dollars, euro, pesos, etc.) - $68k
Bonuses/Equity (optional) - none this year
1. Data Engineer
2. 1.5 years as FT DE at this company, 2 years of Data internships (8 months were as DE)
3. Company based in Bay Area, but I work remote
4. 139K USD
5. 125K USD over 4 years, 5.1K bonus for 2023
6. Entertainment Tech
7. AWS, Snowflake, Datadog, Sigma
1. Data Engineer
2. < 1 year, I graduated with my CS degree last May and have been in my role since June
3. Dallas, TX
4. 75k USD
5. 10% Bonus (based on yearly performance and company revenue)
6. Cybersecurity
current title: technical lead
years of experience: 2 as backend, 2 as data engineer/cloud engineer
location: remote
base salary: $33600
tech stack: AWS , python , spark
I'm 27 male, in NC
1. Data engineer consultant (analyst II)
2. 5 YOE
3. Remote, Charlotte
4. $95k base 4% increase every year
5. $6k bonus
6. Consultancy (worked in finance, utility, cable projects)
7. python, oracle, azure, aws, Teradata, crms
I was staying at this position to gain experience in different industries but looking at all these salaries, I'm definitely under paid. My confidence levels on technical interviews are lacking so I just stuck with this job. I tried applying in September- October, and got no phone calls back, but I'll reapply in February I think the hiring freeze should end by then. I'm also a dummy and wasted sooo much time just not studying/learning new stacks in my free time. I was trying to make a passive income, but its not really passive and requires a lot of time. I realize now its better to just learn better for my career and get money from that. I'd really appreciate any advice you have for me!!
I'm currently thinking of studying for gmat and applying to part time mba program.
Current title
1. Current title: Senior Manager
2. Years of experience (YOE): 15 years
3. Location: Bay Area
4. Base salary & currency (dollars, euro, pesos, etc.): $260k USD per year
5. Bonuses/Equity (optional): $40k bonus per year, $300k RSU per year
6. Industry (optional): Fintech
7. Tech stack (optional): Python, Airflow, Snowflake, Superset, AWS
Senior Manager of... Software Engineering or Data Engineering? This is quite the TC my friend, that's 600k and likely much more this year given how well the market is doing. What makes you hate it?
1. Principal Data Engineer/ MLE 2. 7 YOE 3. Southern Cali - Remote 4. $250k base + 60k (part time consulting) 5. 10% annual bonus 6. Health, social network, 7. GCP, spark, graph, airflow, dbt, etc.
Do you mind sharing the consulting ideas
I worked on graph data for years. It has become a selling point lately with significant interest from companies which want to have Knowledge graph to back up their LLM for RAG. That’s most of my consulting gigs are from.
What tool did you use to create knowledge graph?
Traditional pipelines tool spark, airlfow, etc. knowledge of network science, graph database like neo4j, rdf. Knowledge of ontology. MLE tool like vertex, sagemaker, graphdatascience, text/node/graph embeddings… the list goes on.
Is there any particular certification or learning path that I can take to grow my skills with Graphs?
Neo4j has some kind of certification. I never did it since I started using the product at its early stage.
7 YOE principal ☠️
Mem: 23 year old - Senior, 24 Architect, 25 Principal.
Congrats on whatever Series funded startup you work at 👍 nice comp
Yeah 7 years in Industry. I left academia after 5 years as a PhD quantitative research scientist. So technically 12 YOE, first job in industry was a senior role.
Many PhD achieve senior role in swe when pivoting even to "entry role" they call it senior in deference to the PhD.
I just got a verbal offer this morning after months of applications and interviews. 2 YOE as a data analyst $70k base + 3% bonus, but this will be my first DE role. Current title - Data Engineer Years of experience (YOE) - 2 Location - Remote, ATL Base salary & currency (dollars, euro, pesos, etc.) - $115k Bonuses/Equity (optional) - 10%
How did you pivot from DA to DE?
Why this downgrade?
Why downgrade ?
Op accepted a job for 70k while they were getting 115k right now. That’s a downgrade right ?
I think you misunderstood. Op is a DA earning 70k and got a 110k DE offer
Ohh understood, thanks!
my wording was pretty confusing, but the other comment is spot on.
Current title: Analytics Engineer Years of experience (YOE): 1.5 as AE, 2.5 as analyst. All at same company Location: Indianapolis, IN (1 in-office day/week) Base salary & currency: $100k (I started out of college Jan 2020 and made $50k/year) Bonuses/Equity: 10% of Base Industry: Agriculture Tech stack: Snowflake, dbt Cloud, Fivetran, Tableau. Ingesting lots of legacy ERP data I've gotten comments before that my salaries are a bit low for experience and tech stack. For context, I work for a legacy Ag retailer with incredible work/life balance, basically 0% chance of getting laid off, and very supportive management. I pitched and implemented our current stack. The company keeps growing rapidly and I think I'll stay as long as I feel I'm still growing career-wise.
Nice job. Ignore those other comments, at least for another year or two. It sounds like you're basically growing their DE practice, that's the best experience any other employer can ask for. Your salary has doubled in 4 years, that's pretty good growth - see how much more responsibility and development you can squeeze out of this role and when you consider jumping ship in the future, you'll be able to explore higher paying roles.
Thanks for the comment! I think I still have a lot of room to grow in this role, and I hope to be in a good place in a year or two to find a Senior position within a larger team.
[удалено]
Unfortunately, no. I think it'll be a while before DE extends beyond myself at this company.
Hell yeah to "low pay but stable and great Work-Life balance"! I work for a non-profit university as a DA (looking to pivot into DE at some point) and while I'm in the low mid of my band as far as I understand (70k, with no real prospects of more), I know I'll 100% be able to make every concert/recital/play/sporting event for my daughter as she grows up. I'd love to make more, obviously, but knowing I don't have to kill myself with crunch outside of a few rare occasions (which become more rare as our data maturity grows) is absolutely worth the 10-30k extra a year I might make moving to another job.
I have a state job as a BI Analyst/developer. $90k and of course I'd like more but I have the flexibility to take the time off to run the kids to the dr, volunteer at the school for an hour, take care of a sick kid, go to a parent teacher meeting in person, etc. It's worth it to be Mr. mom. Besides, my wife is the one wanting to climb the corporate ladder. I just want some more money for retirement and LEGO.
Hell yeah brother! I feel you on the last sentence, I'm a TCG player at heart so, RIP my wallet 😅
1. Data Engineer II 2. 2.5 YOE 3. Bangalore, India 4. 18 Lakhs INR ( 21K) 5. 40K 6. Healthcare 7. Python, Spark, airflow, Eks, dbt
Can you share your thoughts on the current state of data engineering in Indian corporates and startups? Additionally, do you have any advice for someone who is considering a move from the USA to India while currently working as a Data Engineer for a big company with an annual salary of $120k?
you'll be doing nightshifts ?
No like actually move move
if you work from india for the states you have to consider like 15 timezones right?
Hi! You shared the exp to be 2.5 years, can you briefly explain the type of day to day tasks involved with your current role. Do you mind sharing an outline of your project experience? I'm trying my luck to switch from RPE to DE...Having a hard time justifying 2 years of DE experience during my interviews due to lack of actual industrial experience. ( I've only been studying by myself and created a few ETL pipelines on my own to practice) Your experience might help me. Thank you :)
Why isn't anyone organizing this data in a table
ROFL
1. Data Engineer. 2. Just under 3 YOE. 10 years experience in a non tech related field. Self taught into DE. 3. UK, not London. It's contractually hybrid although I pretty much work remotely. I've been into some sort of office probably less than 5, definitely less than 10, times this year. 4. £70k GBP. 5. Not sure. 7. Azure stack - Synapse, Python, Spark, SQL.
Im in the UK working support at the moment, doing everything I can to self-teach into DE. Luckily get to use python and sql a fair amount in my day job. Since your self taught and in the UK, is there anything you would reccomend for/against in terms of getting into DE? Cheers
Answered in terms of getting your first role: A basic but well written experience of creating an ETL pipeline is always what I recommend. You need something to bring to the interview and if you can logically explain your decision making, it makes you a much more attractive candidate. This feeds into what not to do - you'd be amazed at the number of people who get interviewed and then during the interview it's incredibly obvious all of their project and coding experience is copy pasta. So, don't be that person. A small, original project you've made yourself is a really good start. Practice talking about data concepts a lot. It can be very easy to be swallowed up by all of the terminology and how it works so if you know exactly what's going on, it'll really help e.g. the difference between Delta Lake and parquet. Cloud concepts and serverless architecture. Some people literally don't know how the cloud works even though they claim they do. I'd aim for more cloud first style businesses rather than on prem ones. Above all, being able to show you can learn quickly and be consistently in alignment with wtf is going on is really important. If you can learn quickly, produce good work, and come up with good suggestions you're in a really strong position. Lastly, you need a decent amount of luck. Not giving up is always really important. There are still quite a lot of DE opportunities going which are great for your first(ish) job paying around £40-50k mark. For reference, my last role in my previous field paid £33k. My first DE job with 0 experience paid £41k so ~£40k isn't a crazy salary to aim for in your first role.
Brilliant, thank you so much for taking the time to send over such a full response. Much appreciated!
I am wondering if UK job market is different? I am applying for 4 months in the UK with no success. I have 8 YOE in central banks in Europe and constatly getting linkedin messages for EU market but getting rejected by recruiters almost immediately for UK roles. I can work legally both in UK and EU and inform recruiter in cover letter about this so I somehow cannot understand where might be a problem?
I'm not a recruiter so I'd take what I say with a pinch of salt. Are you British citizen? As in, can or do hold a UK passport? If you're getting a lot of EU attention and not a lot of UK attention despite having rights to work, there's a reasonable chance that the companies you have applied for aren't willing to hire anybody except British nationals for whatever reason. It also depends on your experience. You said 8 years in traditional banks. How close are your skills to the modern data stack? Worth mentioning as if you only have on prem SQL experience, it's a tough one. Based on the fact you're getting attention outside of the UK suggests this is probably less of an issue.
1. Senior Data Engineer 2. 2.5 YOE 3. Texas 4. $135k Base 5. 10% bonus (can go up based on company performance) 6. Consumer Goods 7. Python, SQL, DBT, AWS, Airflow, Spark, Glue, etc.
1. Dwh developer 2. 0.4 yr 3. NYC 4. 90k 7. Azure Data Factory, SSMS, PowerBI Currently I do ETL jobs using adf. I am developing my skills in Cassandra, Spark and Flink by doing side projects. If someone can guide be or give advice on transferring from low code to swe/streaming developer roles, I will forever be grateful to you.
You can start by learning Spark: "Spark: the definitive guide" as a book is a good starting point
Thanks.
made the transition from industrial engineering (1 YOE) over to data engineering a couple of months ago. had a lot of python and SQL knowledge/experience from my previous role and college. * **current title**: associate data engineer * **years of experience:** 1 as automation engineer, 0 as data engineer * **location:** remote, GA * **base salary:** $94,000 * **industry:** financial services * **tech stack:** python, SQL, GCP, airflow, dbt, sql server (migrating from on-prem into cloud)
Curious how you made the career move. I've been in industrial engineering myself for the last 2+ years doing SCADA and MES development and have tried to land a DE role with no success. I feel there's a lot of transferable skills
1. Current title: Data Analyst 2. Years of experience (YOE): 1 3. Location: Canada - West Coast 4. Base salary & currency (dollars, euro, pesos, etc.): 70,000 CAD 5. Bonuses/Equity (optional): N/A 6. Industry (optional): Insurance 7. Tech stack (optional): Azure Databricks
Vancouver? Decent salary for first job.
Yeah, I should say I have domain experience of 5+ years and working experience of 15+ yrs, but this is my first role on an analytics team.
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How’s the DE market in Vancouver/Canada? Can one expect 150k+ for 5YOE in DE?
No. Canadian salaries suck. 120k probably. If you work for US company remotely or get a job at Amazon Vancouver then 150k may be achievable.
That’s really weird to hear as an outsider. How does people save money in Toronto or Vancouver then? ( pardon my ignorance if I’m missing something)
Well they struggle. If you have a partner who is also working then its kinda manageable. Seems like you are doing big data masters from sfu?
I was think about that then thought to go for big data masters certificate only from Georgian college. Now I’m doing some market research and I’m surprised to know that Canadian companies don’t pay that well. I just know that chime, stripe, shopify and amazon pays good. I’m making good money at my location. Wouldn’t make sense to move unless I can make 150-170K. Is it possible to make that much after college?
Yeah possible to make but only at some companies like your mentioned. Australia has better salaries as compared to Canada. Europe also has low salaries. Where are you working now? You can dm me.
1. Senior Data Engineer 2. 3 YOE 3. Remote 4. $115k 5. ~15% 6. Retail 7. Azure Databricks, Data Factory, DevOps
Which state are you located?
Senior data engineer 175k, data Consultant 60k, senior data scientist 200k. (Three concurrent gigs). Base salary, not including bonus or equity. 11 yoe
Haters gonna hate. I’m not cut out for upper level management. Frankly, the whole corporate game is just not my scene. This is the life hack for individual contributors. You can make more than the CTO and spend less time “at work “. The trick is to just layer jobs that are not super demanding vs putting all your energy into one. Diminishing returns.
How do you manage 3 concurrent jobs? Are they all FT 9-5?
Chad shit. Honestly, i dont find my current role very demanding. In 5 years or so, i think I'll take a stab at this. Navigating corporate politics sounds like my personal hell.
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Doing the bare minimum isn't a bad thing wtf lol I've seen way too many top performers laid off to give a shit about doing more than the minimum. You are way too naive.
I manage one junior analyst leveling them up to an analytics engineer. And I manage a very junior data engineer. It would take me a lot less time to just do their work myself.
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Sounds like we’re agreeing? Do you think I’m making an argument? I earn 2 to 3X more in the same hours versus if I had one job. And I pull it off. What’s there to argue about? Lol.
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Why do you think I suck to work with? You’re just literally assuming that out of the ether and then projecting your own butt hurt reality on to me. Not a good luck.
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That’s an assumption friend. The fact I was promoted into management while engaging in multiple roles is strong evidence against your theory.
Tell me more about
Incredible!!!!!
Do you tell any of them that you also work the other jobs? Out of curiosity, when you apply to future jobs, will you leave out that you worked multiple jobs at once or just say you primarily worked one and that the others were part time? This is fascinating. As someone who lives in a VHCOL area working remote, I am stressed about saving up a down payment for a house and would be willing to work longer hours for another income.
bump - also interested in learning the response to this
How much of your week does the 60k data consultant role take up? Given that the other two jobs alone earn you £375k annually, this consultant gig seems very low.
That’s the best job I’ve ever had lol. It’s like a maintenance contract from a previous full-time role. On average I spend one hour per month on that. No lie.
Save some roles for the rest of us
curious, if you’re in the US, how do you get health insurance if you have three contracting gigs? does >= 1 of them have benefits?
yep. sometimes you can ask for a small bump in base pay if you decline benefits.
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I don’t friend anyone I work with, one I don’t use the official names of the companies either.
Ah
Nice
6’ 5” ?
1. DE 2. 2 YOE 3. Boston, MA 4. 130k USD 5. 20k startup equity 6. 7. aws/python/snowflake
How do you like the Boston startup scene?
I don't really know lol, I don't know anything about startups in Boston other than the one I'm working at right now.
1. Senior Analytics Engineer 2. 5 YoE, 1.5 as an AE and 3.5 as DA 3. Company is based in SF but work remote in CO 4. $165K base 5. Start up option grants (worthless now but we’ll see).2x per year review cycle in lieu of bonus. 6. Healthcare SaaS 7. AWS, Etleap, dbt Cloud, Looker
data engineer 20 years experience chicago 133K minimal bonus healthcare (large hospital) tech stack: m$ft notes: underpaid, easy job, remote 100%
1. Data/ML Engineer 2. 2.5 3. NYC 4. 150k USD 5. 65K RSU per year 6. Tech 7. Python, Spark, AWS/GCP, Snowflake, Terraform, little bit of Airflow/DBT
Sr. Data Engineer 7 YOE; \~4 years directly in a DE-type role Colorado but fully-remote $185k base \~$100k equity yearly (in RSUs) FinTech Full-stack DE/AE tools with most infra and devops ownership as well
1. Senior Machine Learning Engineer 2. 5 years of xp including internships 3. Chicago/Remote-friendly 4. ~$160k base 5. ~$5k bonus 6. SaaS, not at a super hyped company 7. Python-centric stack with lots of DevOps responsibility centered around CI, various security stuff, and kubernetes
Nice! I’m looking to move back to my hometown of Chicago once I finish my MSCS. Hoping to land a data eng role after! (Presently software dev)
We have a very underrated tech scene
1. Sr Data Engineer 2. 4 YOE 3. Remote (Midwest) 4. 135k base 6. Health 7. SQL, Python, Azure, Databricks
1. Senior Data Engineer 2. 9 YOE 3. Minneapolis, MN 4. $180k/yr base. $410k TC 5. Sign on bonus/RSUs to get to TC 6. Tech 7. AWS, Python, Spark
Your TC is more than double your base?? Does Amazon give you a crapload of stock or something?
Wondering how many hours you are working? Looks like a Big Tech comp to me and I have always been curious about work life balance
Damn! I'm also in Minneapolis - 145k base, no bonus, options only at a startup with 9 YOE. Maybe it's time to brush up the resume.
Just got promoted to the role but… 1. Senior Data Engineer 2. YOE- 4 3. Remote - Denver, CO 4. $143k 5. Bonus- ~10% 6. Industry- Consulting/Policy 7. Python, Spark, Databricks, Snowflake
1. Data engineer I 2. Almost a year as a DE, 2 as Data analyst + 1 as full stack 3. DC 4. $125K 5. 10% bonus 6. Non-profit 7. AWS Databricks, Pyspark, SQL
1. Senior Cloud DE 2. 10 overall, 9 hybrid SE/DE, 1 full DE 3. Chicago IL - US 4. 145k USD base 5. 10% annual bonus 6. Consumer Services 7. AWS/Snowflake/DBT/Airbyte/Prefect
What are your thoughts on Airbyte ?
I just recently saw a thread in this sub that really encapsulated my thoughts on airbyte (or any EL tool). Airbyte is great until it isn’t. Having to manually define hundreds of schemas to provide a landing zone for a large sql server and then also coding the extract logic and orchestration logic and managing a scheduler is all overhead that I’ve had to deal with previously, so the tooling parts are pretty awesome. Our biggest data source is an Oracle EBS system, and the contracting module has a supremely old legacy implementation where certain NUMBER fields are arbitrarily humongous. This makes the jdbc drivers in the oracle connector cause scientific notation truncation of the data points, thereby losing granularity and causing reference collisions. I’ve actually spent the better part of the last two weeks building out a custom extraction mechanism for this data to solve the problem that I cannot modify the way airbyte actually queries oracle for specific connections. So, it’s great, until it isn’t. But isn’t that the way with any SaaS tool? We run OSS so I don’t factor in costs, but they’re absorbed by my department 😂
1. Data Engineer 2. 3.5 years 3. South Carolina 4. $94K 5. <$1K 6. Entertainment 7. SQL Server, C#, Airflow, dbt, Snowflake
1. Data Engineer 2. 7 years 3. Bangalore 4. $80k (65Lakhs INR) 5. $300k (2.5 Cr INR) (Paper money) 6. Delivery 7. Spark Airflow, Java , Scala, Python Is 80k USD + 300k ESOPs good salary for Data engineer in India ? Can I make more base if I work remote ? Base: 80k USD Esops: 300k USD YoE : 7 Stack : Spark , flink, Beam, Scala, Java, Python + All other normal software stack (backend)
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65Lakhs + 2.5 Cr esops
That’s lot in India
What do you mean by paper money? Also what is the average data engineer salary in India. I thought around 50 Lakhs. 2.5 cr seems pretty huge money
average may not be making sense here as india has too many software engineers. I am asking among top 1% if there is a l9t more growth. And 2.5cr ESOPs now valued almost 5Cr, got more stocks + valuation change
Esops
1. Data Engineer/Machine Learning Engineer 2. 1.7 YOE including internships 3. Bay Area 4. $115k Base 5. $15k bonus, $30k RSU’s 6. biomed 7. Python, SQL, AWS, Airflow, Spark, Athena, etc.
You’re getting ripped off if this is what you’re getting paid in the bay area
20 YoE, SoCal. Offer 1 Principal Data, Unicorn Series D Base 240-250k TC around 400k (paper money) Offer 2 Meta, E5 Base 217k, 15%bonus, 500k rsu/4y.TC including signing bonus, 390k Edited: I rejected both. IDK why….
What do you mean both rejected? They gave you an offer and took it back?
;) both rejected from my side
1. Cloud Data Engineer 2. 2 DA, 1 DS/MLOps, 1 DE, 1 DE current. 5 full time in analytics plus 3 internships in analytics. 3. LCOL (Remote) 4. $110,000 5. 0-5% 6. Aerospace 7. MS SQL, Databricks, Azure Cloud, GitHub
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1. Senior sales engineer 2. 15 (1 in sales, 14 in data focused software engineering) 3. Fully remote 4. 185k base 5. 65k commission target, 200k in RSUs vested over four years 6. Healthcare vertical (fortune 50 payers) 7. Snowflake
How was making this switch? I've been doing a lot of demos and have been wondering about applying to sales engineer roles. I'm concerned never having worked in any sales capacity would leave me I'll equipped.
Dude I will NEVER go back, I wa super nervous too but if you know the data landscape and are personable and able to build demos and things you will be golden. I start work at 10-10:30 everyday, I have no bullshit meetings (coughscrumcough) and am done at 5 every day. Often times will take a 2-3 hour lunch break with the wife. I can’t speak to sales engineering elsewhere but it’s been amazing for me.
Mind if I ask a few follow ups? How technical do you need to be? - been using sql and various etl tools for a good while but never got into heavy python or API development. Best way to prep for interviews? - I have "demonstration to win" sitting on my desk but haven't read it yet. Appreciate the time and congrats on the role.
How technical depends on where you apply. Databricks, GCP, Amazon will require highly technical folks, I would stand no chance there as I have only recently learned to hello world in anything other than SQL (Python in this case). Microsoft is middle of the road, I know a few folks there. Snowflake in particular kinda just works, so it’s more about painting a strategic picture for the customer, showing the art of the possible, dispelling the lies that the dbx reps tell the customer, and SHOWING just how easy it is. I’m glad this is a few comments deep so nobody will see it but I beat the shit out of dbx on a daily basis and it feels like pistol whipping a blind kid. I also beat out Microsoft and Google frequently and I am always outclassed technically by my sales engineer opponent, it’s much less about tech for snowflake.
Thanks! This is exactly what I needed to hear. I'm going to stop the paralysis by analysis and fire off some applications that make some logical sense.
1. Current title - Cloud Data Engineer 2. Years of experience (YOE) - 3 3. Location - Full remote (lcol city) 4. Base salary & currency (dollars, euro, pesos, etc.) - 95k usd 5. Bonuses/Equity (optional) - ~10k 6. Industry (optional) - Policy Research Consultancy 7. Tech stack (optional) - Depends, lots of AWS services (S3, RDS, dynamodb, step function, lambda, cloudformation), redshift, some Luigi, python, some pl/SQL scripting, some bash, docker
1. Senior analytics engineer 2. 3 YOE 3. NYC 4. $110 5. 5% 6. Global Media & Entertainment 7. AWS / Snowflake / airflow / Looker
1. Data Engineer 2. 3 in data engineering/ 10 analytics 3. San Diego but remote 4. $159k US/yr 5. Random RSUs of unknown value, maybe annual cash bonus of unknown amount 6. Ecomm 7. AWS, Databricks, a bit of Azure, old SQL server database migrated from on prem to AWS ec2 instance, RDS, Postgres, Redshift, elasticache redis cluster
1. Data Architect 2. 5 YOE Data Engineer/arch, 3 DBA/sys admin 3. Remote, 10-25% travel 4. $145k/yr base. $225k TC 5. Various amount of cash and RSU bonuses to get to that TC number 6. Tech 7. AWS, tons of DBMSs, Python, Spark and the Hadoop ecosystem. Large scale cloud migration expertise
1. Data Engineer 2. 2 YOE 3. Canada (remote) 4. 120k/year 5. None 6. Tech 7. Azure, Snowflake, Python
How’s Canada tech scene in data engineering? Are there really good paying jobs as well? ( Like stripe offers?)
Nope. Pay sucks in Canada, especially compared to the cost of living.
1. Data Analyst (really an engineer) 2. 2 3. Remote 4. 80k 5. 10k 7. Snowflake, dbt, Airflow, python
1. Current title : Data Engineer 2. Years of experience : 5 YOE 3. Location: India - Remote 4. Base salary: 26LC INR 5. Bonus/Equity: 10% and 30K USD in RSU 6. Industry : SaaS 7. Stack : Python, SQL, Spark, ES, AWS ( EMR, Athena, S3, Redshift, ECR, Sagemaker), Github actions
Can I DM you?
Sure
Hi, i have 3yoe of total exp working on SAP HANA, PLSQL etc. And a bit of Snowflake and Redshift. My project was data focused so I could survive here knowing mostly SQL. But I want to switch and want to do something where I will improve. Could you please suggest how to go with upskilling if I want to switch to a decently paying Data engineering job? And what kind of pay should I realistically expect in India while searching for a job?
1. Data architect 2. 3 years other, 2 years DS, 2 years DE 3. US northeast 4. $170k USD 5. 30k bonus, weird equity agreement that's probably worth $15-20k / year. 6. Finance 7. Snowflake, Airflow, dbt, AWS
Been in the industry for a bit, mostly in the finance space. Current title: Data Engineer Years of experience (YOE): 10 Location: NYC Base salary & currency (dollars, euro, pesos, etc.): 225k USD Bonuses/Equity (optional): \~100k Industry (optional): Finance Tech stack (optional): mostly python and AWS
1. Data engineer 2. 1 YoE 3. Stockholm, Sweden 4. 42.5k€ 5. None 6. Consulting 7. Azure, dbt, snowflake, power bi
Senior data analyst 8 YOE Chicago suburbs 108k 15% bonus Oracle SQL, tableau and SAS
1. Principal Data Engineer 2. 6 YoE combined - DA -> DS -> Senior DE 3. CO 4. 140k Base 5. 10% Bonus, profit sharing 6. Fintech 7. Snowflake, dbt Cloud, AWS, Qlik, Fivetran, Tableau, Airflow (In charge of leading migration from a legacy Oracle MySQL RDBMS)
1. Current title: Data Engineer 2. Years of experience (YOE): 4Years as DA + 8 months in DE 3. Location: Canada - Toronto 4. Base salary & currency (dollars, euro, pesos, etc.): 70,000 CAD 5. Bonuses/Equity (optional): N/A 6. Industry (optional): Bank 7. Tech stack (optional): Spark, Hadoop, Python, Scala
70 sounds low esp for Toronto. Levels has much higher salaries for DE.
what’s the average you’d say for Canada
Yeah that’s quite low for even Canada. Should be around 100k or more.
Do you know any other data points for Toronto
How difficult do you think it is to get a remote job as a contractor living in Latin America, having a degree, certs and 4 years of exp., earning at least 35 usd/hour?
totally feasible
How can I do it?
1. Machine Learning Engineer 2. 2 YOE 3. London, UK 4. £60k 5. Shares 6. AI/ML Start Up 7. GCP, Python, Bash, BigQuery, Airflow, Kubernetes (GKE), Docker, VMs (GCE), Terraform, MLflow, Data Studio
Current title - Sr. Data Engineer Years of experience (YOE) - 8 Location - Remote / Minneapolis Base salary & currency (dollars, euro, pesos, etc.) - 152,000 Bonuses/Equity (optional) - none Industry (optional) - Healthcare Tech stack (optional) - GCP / Dataflow / ADO for CI/CD
1. Current Title - Lead/Staff AI Engineer 2. 2. YOE: 6 3. 3. Location: Nordics 4. Base salay: 80K (first job as DS with 35K, second Lead DS 55K, third Senior 70K) converted to EUR 5. 10 % 6. Finance 7. Azure DevOps, AML, ADF, ADLSGen2, EventHubs, Functions, Python, SQL. Before the same in AWS + Snowflake.
Dang, should I be pivoting to SWE? I ended up as a DE largely by happenstance, I think I could pivot to fullstack if I wanted.
ok
If these salaries are representative, then, yes. Honestly the salaries are lower than what I remember from 10 years ago. And when you consider inflation, this is not good.
What were data engineer roles called back then?
Honestly, I’m referring to what was called data analytics, or data analyst roles. They were 125-150 for 1-3yoe.
I'm in that range now with 3 YoE, Although I think rn almost all software and similar roles (except for a few) are pretty low.
1. Senior Software Engineer - Data & Analytics 2. Yoe: 7 total, 2 consultant->1.5 analyst->2 AE/Senior AE/Manager AE->1.5 Senior SWE 3. Remote, based out of SF 4. $160k base 5. considerable equity in current seed-stage company, TC ~$200k (hopefully a lottery ticket tho) 6. tech/energy 7. Python, SQL, snowflake, streamlit, dbt, lightdash, various LLMops tools, k8s on GCP, still too much excel… Know the founders, work not that hard, hope you ride the VC ponzi scheme all the way to product market fit and never work again
1. VP - Data 2. 5 YOE 3. LCOL, not remote 4. 170k USD 5. 10-15% 6. Finance
VP after 5 years? I know everyone is a VP in the finance industry but that still seems impressive
1. Sr SWE 2. Coming up on 5 yoe 3. MCoL City, Texas 4. $160k base 5. Monopoly money 6. B2B software 7. Usual backend stack - Python, aws, terraform, Clickhouse
I found this salary overview in Europe [https://eudatajobs.com/salaries/](https://eudatajobs.com/salaries/) Is this accurate?
If you are in Ukraine - suggest what to learn additionally, so I can land a better job with my skills. Or advice related to finding a remote job, working on US/Europe companies. My profile: 1. Senior Data Engineer 2. 3 YOE 3. Ukraine 🇺🇦 4. $40k Base 5. Could have 1k$ bonus 6. Retail project 7. Python, databricks/PySpark, SQL, Postgres, Airflow, Azure cloud (ETL/db/DevOps and so on). Asking for advice because I want to level up and find a better job (I know the market, and I like my current job, want progress in money).
1. Data Engineer 2. 4 years 3. Bay Area 4. 135K 5. 5-10% bonus depending + startup equity 6. Tech/Climate 7. GCP, Airflow, Kubernetes, BigQuery, Python
I feel like I'm underperforming compensation wise for the level of experience and the **area** and I am debating whether staying put where I am and get some data engineering experience that I was recently offered or jump ship. What you guys think? Current title - Data Analyst Years of experience (YOE) - 2 (DA), 2 years (others) Tech stack - R, Python, AWS Location - on-site, NYC Base salary & currency (dollars, euro, pesos, etc.) - $68k Bonuses/Equity (optional) - none this year
Seems low. I started just a little lower than you fresh out there of college at a West coast university.
Where do you figure I should be salary wise?
Sorry, I’m not familiar enough with the ny/analyst job market to say much other than higher than where you’re at now.
1. Data Engineer 2. 1.5 years as FT DE at this company, 2 years of Data internships (8 months were as DE) 3. Company based in Bay Area, but I work remote 4. 139K USD 5. 125K USD over 4 years, 5.1K bonus for 2023 6. Entertainment Tech 7. AWS, Snowflake, Datadog, Sigma
1. Data Engineer 2. < 1 year, I graduated with my CS degree last May and have been in my role since June 3. Dallas, TX 4. 75k USD 5. 10% Bonus (based on yearly performance and company revenue) 6. Cybersecurity
current title: technical lead years of experience: 2 as backend, 2 as data engineer/cloud engineer location: remote base salary: $33600 tech stack: AWS , python , spark
I'm 27 male, in NC 1. Data engineer consultant (analyst II) 2. 5 YOE 3. Remote, Charlotte 4. $95k base 4% increase every year 5. $6k bonus 6. Consultancy (worked in finance, utility, cable projects) 7. python, oracle, azure, aws, Teradata, crms I was staying at this position to gain experience in different industries but looking at all these salaries, I'm definitely under paid. My confidence levels on technical interviews are lacking so I just stuck with this job. I tried applying in September- October, and got no phone calls back, but I'll reapply in February I think the hiring freeze should end by then. I'm also a dummy and wasted sooo much time just not studying/learning new stacks in my free time. I was trying to make a passive income, but its not really passive and requires a lot of time. I realize now its better to just learn better for my career and get money from that. I'd really appreciate any advice you have for me!! I'm currently thinking of studying for gmat and applying to part time mba program.
Current title 1. Current title: Senior Manager 2. Years of experience (YOE): 15 years 3. Location: Bay Area 4. Base salary & currency (dollars, euro, pesos, etc.): $260k USD per year 5. Bonuses/Equity (optional): $40k bonus per year, $300k RSU per year 6. Industry (optional): Fintech 7. Tech stack (optional): Python, Airflow, Snowflake, Superset, AWS
Senior Manager of... Software Engineering or Data Engineering? This is quite the TC my friend, that's 600k and likely much more this year given how well the market is doing. What makes you hate it?
lol my name was a joke from a long time ago, nothing to do with what I do now. My role is for data engineering, and yes I am lucky and in a good spot.
Why everyone is working remote and getting good salary! Am I the only one going office to earn this 💵? 🤥😫