Full Stack Data Engineer

Own data from source to screen: the pipelines, the models and the dashboards and data products that teams make decisions on.

One open seat
Team
AI & Data
Type
Full-time
Location
Remote
Experience
2–3 years
Compensation
₹12L – ₹18L / year

01The brief

Full Stack Data Engineer in short

Own data from source to screen: the pipelines, the models and the dashboards and data products that teams make decisions on.

Role
Full Stack Data Engineer
Team
AI & Data
Type
Full-time
Location
Remote
Experience
2–3 years
Compensation
₹12L – ₹18L / year
Posted
09 Nov 2026

02The work

What you'll actually do.

Read it properly. If it sounds like your kind of hard, it probably is.
  1. 01Build and run reliable ingestion and transformation pipelines
  2. 02Model data so it's clean, documented and easy to query
  3. 03Ship dashboards, internal tools and data APIs on top of it
  4. 04Prepare and serve data for AI features, including retrieval and evals

About the role

The team

You'll work across our AI and data practice, building the data foundations that our AI products and client analytics run on.

Why this seat

Data engineers often hand off at the warehouse. You go all the way to the screen, so the numbers people see are ones you trust.

  • Real products, real users
  • Your judgment, not a ticket queue

03The fit

You, in a few lines.

No list is perfect. If you hit most of the first one and bring something we didn't think to ask for, apply anyway.

What you bring

  • 2–3 years building data pipelines in production
  • Strong SQL and Python
  • Enough frontend to ship a useful data product, not just a table

Bonus points

  • Experience with dbt, Airflow or similar orchestration
  • Streaming data (Kafka, Pub/Sub)
  • You've built data for an ML or LLM system

Toolkit

  • Python
  • SQL
  • dbt
  • Airflow
  • BigQuery
  • PostgreSQL
  • React
  • TypeScript
  • Python
  • SQL
  • dbt
  • Airflow
  • BigQuery
  • PostgreSQL
  • React
  • TypeScript

04How we hire

Five steps. No riddles.

Here's what happens after you apply, so nothing about it is a surprise.
  1. 01Apply with your resume and the work you're proudest of
  2. 02An intro conversation about you and the role
  3. 03A practical round on a real-world problem
  4. 04Meet the people you'd work with
  5. 05Offer, and your first project

05The deal

Compensation and perks

Compensation

₹12L – ₹18L / year

Where

Remote

Hours

Yours

No ping-pong table. No free-snacks pitch. Just the conditions good work needs.

  1. 01

    Remote, for real

    Work from anywhere. The crew is spread across time zones and the work is built for it.

  2. 02

    Your hours

    No nine-to-five. Hit your timelines, keep people in the loop, and the rest is yours.

  3. 03

    No micromanagement

    We hired you for your judgment. We don't second-guess it, and we don't send weird late-night messages.

  4. 04

    No layers

    Work directly with the founders and the people who use what you build. It ships and gets judged on whether it holds up.

  5. 05

    AI-native tooling

    Claude Code, Codex, Cursor and friends are part of how we ship, so your time goes on judgment, not boilerplate.

  6. 06

    Range that keeps you sharp

    A new domain, a new stack, a new problem before the last one goes stale. There's nothing here to coast on.

  7. How we work at Asymmetri →

06Apply

Take the seat.

Applying for

Full Stack Data Engineer

AI & DataFull-timeRemote

Trouble with the form? Email your resume to hey@asymmetri.in with the role in the subject.

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