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HomeHire talentData & AIData Engineer

Brings data from all your tools into one reliable place. Full-time, in our Mumbai office, working your business day. Profiles in 48 hours.

4.5
Glassdoor, 47 staff reviews
96%
of our staff would recommend us
17
named clients since 2013
  • SimpleTire
  • Steve's Real Food
  • SEO Pros
  • NextPaw
  • Traction Tire
  • Tariapp
  • JAK Innovations
  • 4pay
  • Peoples Theatre Project
  • US Army OCS Alumni Association
  • Strikeforce Tire
  • Fluid Theory

Already fluent in your tools

Tell us what your product runs on, or let us find out. We shortlist people who already work in it.

Our engineers use AI assistants to draft queries and pipeline code, and check every number before it reaches you.

Talk to an expert →

Warehouses

  • Snowflake
  • BigQuery
  • Amazon Redshift
  • PostgreSQL

Pipelines

  • Apache Airflow
  • dbt
  • Fivetran
  • Apache Kafka

Languages

  • Python
  • SQL
  • Apache Spark

Cloud

  • AWS
  • Google Cloud
  • Microsoft Azure

Suitable talent for your needs

Full-time on your hours. Office, payroll, HR and a free replacement in the first 30 days come with every level.

Get Mid profiles in 48 hours →

No minimum term. One month's notice.

Data Engineers on our team

Their level, experience, daily tools and how they use AI. Yours will be matched to your job and your hours.

Vetted by HNR

Varun

Data Engineer

Mid level, 6 years

  • Airflow
  • dbt
  • BigQuery

With AI: Generates pipeline boilerplate with AI, then tests every load

Vetted by HNR

Chetan

Data Engineer

Expert level, 9 years

  • Airflow
  • dbt
  • BigQuery

With AI: Generates pipeline boilerplate with AI, then tests every load

Vetted by HNR

Mohit

Data Engineer

Expert level, 8 years

  • Airflow
  • dbt
  • BigQuery

With AI: Generates pipeline boilerplate with AI, then tests every load

Vetted by HNR

Mayank

Data Engineer

Mid level, 4 years

  • Airflow
  • dbt
  • BigQuery

With AI: Generates pipeline boilerplate with AI, then tests every load

Vetted by HNR

Parth

Data Engineer

Entry level, 3 years

  • Airflow
  • dbt
  • BigQuery

With AI: Generates pipeline boilerplate with AI, then tests every load

How hiring works

You pick the people and the start date. Everything between is our job.

  1. Day 1

    Tell us the job

    A 20-minute call. No technical brief needed.

  2. By day 3

    Read profiles

    People who've done this kind of work, available in your hours.

  3. Days 3 to 4

    Interview and pick

    On your schedule. Not right? We send more, free.

  4. By day 5

    They start

    Laptop, payroll and HR handled. They join on your hours.

Skip hiring, let us deliver.

We bring the right people together to get you the result you need. They work your hours, we manage the team, and an HNR lead reports to you.

Discuss your project →
  1. We plan itThe scope, the milestones and the team it needs.
  2. We run itAn HNR lead manages the work day to day.
  3. You approve itYou sign off each milestone before the next one starts.

Hire Data Engineer FAQ

Our data is spread across many tools. Is that a problem?

That's normal. A data engineer's first job is to bring it into one place you can trust, updated on a schedule.

Do we need a data warehouse?

If you report from more than two or three tools, usually yes. We'll suggest a simple setup that fits your size and budget.

Who owns the work?

You do. Everything they make belongs to you, and every person signs an NDA before they start.

Talk to an expert about your team or your project.

Four questions, then pick a time. Hiring people or handing over a whole project, we come to the call ready for it.

  • A 20-minute call in your timezone
  • Profiles within 48 hours if you're hiring
  • Prefer email? care@hnrtech.com
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