Data Engineer Jobs in India — Hiring Now
Live data engineer openings across Indian startups and product companies, refreshed continuously. Most roles target candidates with 2–5 years of experience in SQL, Python, and pipeline orchestration, spanning remote, hybrid, and on-site work modes. Apply directly to the hiring manager — no recruiter screens, no ATS black hole.
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Set a Job Alert →Why Work as a Data Engineer in India
Growing demand as companies mature past basic analytics
As product startups scale, they typically move from ad-hoc SQL queries to dedicated pipeline infrastructure — data engineering hiring tends to ramp up right after a company hits meaningful data volume and reliability requirements.
A direct path into ML and platform engineering
Data engineering experience is a common stepping stone into ML engineering or data platform leadership roles, since the underlying infrastructure skills transfer directly.
Compensation comparable to backend engineering
We don't yet have a dedicated Data Engineer salary page — see our Backend Engineer Salary in India page for a close proxy on comparable-seniority pay bands, including CTC and in-hand ranges by city.
High leverage on a small team
A single strong data engineer can unblock an entire analytics or ML team, which gives the role outsized visibility and influence even at relatively junior levels.
Related Roles Worth Checking
| Role | Why it's related |
|---|---|
| Python Developer Jobs | Python is the primary language for most data engineering pipelines |
| Backend Engineer Jobs | Overlapping skillset, especially at companies without a dedicated data team yet |
| ML / AI Engineer Jobs | Data engineers often feed pipelines that ML engineers consume — search term, no dedicated Switchly page yet |
| Analytics Engineer Jobs | A newer, more SQL/dbt-centric variant of data engineering — search term, no dedicated Switchly page yet |
Also see Python Developer Jobs and Node.js Developer Jobs.
Who's Hiring Data Engineers
Data-heavy product startups
Building out a dedicated data platform team as product analytics needs grow
Fintech & analytics platforms
High-volume, high-reliability pipeline requirements drive consistent hiring
AI/ML-adjacent startups
Data engineers here often own the pipelines that feed model training
Mid-size product companies
Structured data platform teams with clearer role boundaries than early-stage startups
Company categories reflect typical hiring patterns on Switchly, not a ranked or exhaustive list — see the live openings above for actual current employers.
Skills & Requirements Checklist
- Advanced SQL — the single most tested skill in data engineering interviews
- Python (Pandas, PySpark) for pipeline and transformation logic
- ETL/orchestration tools (Airflow, dbt, or similar)
- A cloud data warehouse (BigQuery, Snowflake, or Redshift)
- Distributed processing fundamentals (Spark)
- Data modeling — star schema, normalization trade-offs
- Basic streaming familiarity (Kafka) for senior-level roles
- Git workflows and version control discipline
Data Engineer Openings by Experience Band
Share of open data engineer roles by experience band (India)
Frequently Asked Questions
How many data engineer jobs are open in India right now?
Open data engineer roles on Switchly change daily — see the live openings list above for the current count. Demand is heaviest at the 2–5 years band, as most companies build out a dedicated data team after their core product has traction.
Are there data engineer jobs for freshers in India?
Yes, but in lower volume than mid-level roles — most entry points into data engineering come through a backend or analyst role first, since dedicated fresher data-engineer openings are relatively rare.
What's the difference between a Data Engineer and a Data Analyst?
Data engineers build and maintain the pipelines and infrastructure that move and transform data — mostly software engineering skills applied to data. Data analysts primarily query and interpret data that's already been made accessible. The two roles use overlapping SQL skills but very different day-to-day work.
What's the difference between Data Engineer and Analytics Engineer?
Analytics Engineer is a newer title, typically more SQL/dbt-centric and closer to the analytics team, while Data Engineer skews toward pipeline infrastructure and distributed systems. Switchly doesn't yet have a dedicated Analytics Engineer page — search the term directly if that's your specific focus.
Do data engineers earn more than backend engineers in India?
Pay is broadly comparable at equivalent seniority, sometimes with a modest premium for engineers with strong distributed-systems or streaming experience. We don't yet have a dedicated Data Engineer salary page — see our Backend Engineer Salary in India page as the closest proxy on comparable-seniority pay bands.
Can I get a remote data engineer job in India?
Yes — data engineering roles have a reasonably healthy share of remote and hybrid listings, particularly at data-platform and analytics companies. Check our remote software engineer jobs page for remote-focused listings.