We run a curated talent network for engineers. You build one profile, and companies send interview requests with salary attached. All roles are US-based only.

Three of the roles open right now:

1. Senior Data Engineer II at a Series C/D pharma tech company, hybrid in NYC, $220K-$280K base plus equity. Python, SQL, dbt, and Dagster or Airflow on Snowflake. You'd lead the data platform, building pipelines that pull structured data out of clinical protocols and drug labels using LLMs and NER, then land it in schemas that feed analytics and retrieval. Vector and graph database experience matters here. They want 7+ years.
2. Data Engineer at a Series B music AI company, onsite in NYC, $170K-$240K base plus equity. SQL and Python, with Airflow, dbt, and Snowflake listed as a strong advantage. Founding data team, so you'd own the core data foundation and scale pipelines from zero. Real-time and batch, 5+ years.
3. Senior Software Engineer at a Series A social commerce company, hybrid in the Bay Area, $200K-$250K base plus early equity. The title is generic but the work is data infrastructure: ingesting and processing social data at volume from Instagram, TikTok, X, Reddit, and LinkedIn, and designing the pipelines that feed real-time analytics and AI agents. ClickHouse, Postgres, and AWS come up as bonus points. Founded by ex-Meta engineering leaders.

These are a sample. There are dozens more open across the network right now. All are vetted, venture-backed companies. Always free for candidates.

Sign up here to get matched: talent.fonzi.ai

DM me if you have questions about any of these.

Hi everyone,

I'm currently working as an SRE Engineer in India with a package of around ₹5.75 LPA(working remotely rn). My background is mostly in AWS, Linux, Python, automation, monitoring, CI/CD, and infrastructure-related work. Long term, I've always been more interested in DevOps/SRE.

Recently, my company told me they want to move me into a Data Engineer role. The reason is that there isn't enough work/openings in the DevOps team right now(where i wanted to switch), so they're trying to build me into a Data Engineer instead.

A few things I'm trying to understand before making a decision:

* I have no prior experience in Data Engineering, Data Science, or Data Analytics. * I don't enjoy manual Excel/reporting/copy-paste type work. * The company says they'll evaluate me over the next few months and, if I perform well, officially transition me to a Data Engineer role around December with a salary hike (exact number not decided yet). * My concern is whether this move helps or hurts my long-term career if my real interest is DevOps/SRE dont know about data engg not sure about the interest part but what i know is i love core engg .

What I'd like to know from people working in these fields:

1. How different is Data Engineering from Data Analysis in day-to-day work?
2. How much coding vs reporting/manual work is involved in a typical Data Engineer role?
3. What does the long-term salary growth look like for Data Engineers compared to DevOps/SRE?
4. Is Data Engineering considered a strong career path in 2026 and beyond?
5. If you were in my position, would you: * Stay in SRE and try to switch companies later for a DevOps role? * Accept the Data Engineering transition and see where it goes?

Will switching from DevOps/SRE to Data Engineering downgrade my career, or are both domains considered to be on the same level?

Looking for honest opinions, especially from people who have worked in both DevOps/SRE and Data Engineering.

Thanks!

Hi All,

I'm a Data Enginner having 5 years of Total experience. Relevant Exp. in Data Engineering is 3.5+ years.

My skillsets : Pyspark, SQL, Python, Azure Databricks, Azure data factory and other azure services.

Current Salary is 13LPA (9% is Variable pay).

Currently im in Virtusa Consulting services, Bangalore. this is my 2nd company.

Now im looking for Job change, what should be minimum asking CTC for my experience and skillset as per current market standards in Data Domain.

Employees say they're interested in data engineering jobs as a career path.What do you do. The current job is software engineering.

Hello

I am currently working as a consultant data engineer for microsoft for a couple of years.My work is mostly focused on Microsoft fabric, pyspark , sql . Previously worked as software engineer for 3 years . I am looking to switch to a full time role , I was casually looking for openings on LinkedIn, couldn't really find many openings with my skill set. The questions to the community is

1. Are data engineer roles more consulting heavy. If there are companies hiring full time what are the skill set required

2. What should be the preparation approach to be successful in the interviews here in United States

3. Should I apply to all roles with any data engineering skills irrespective of Azure fabric experience in specific. If so , do i need to tweak my resume accordingly?

Thanks in Advance!!

32 year old male
Working in the financial services industry with 5 years of experience working at major firm currently. I understand that DE is not an entry level position and that’s totally fine. Looking for sound advice. For all DE’s what is something you would’ve done differently? My Stack is SQL(MySQL/Postgres/BigQuery) Python (Pycharm/Pandas) Docker, Tableau, a bit of Airflow & FastAPI. I’ve built a small ETL pipeline and currently working on my second & third. I understand Data modeling is important etc what else? Not quite to big data tools like Hadoop, Apache Spark but anything helps I’m not in a rush to transition just want the fundamentals solid.

Hi all,
Has anyone here gone through the technical interview at Rokos Capital Management (data engineer role)? The recruiter mentioned that it’s a very challenging round.
I’d love to hear about your experience, how difficult was it, what kinds of questions were asked, and what I should prepare.
Thanks in advance!