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AI & ML · India
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Hire Data Engineers

Data engineers shipping reliable ELT pipelines, modern data warehouses, and analytics platforms on Snowflake, BigQuery, Databricks, and dbt.

Skill Set

What our Data Engineers know cold

Every engineer you hire from RG INSYS is benchmarked on these areas before they touch your codebase.

Warehouses & Lakehouses

  • Snowflake (warehouses, tasks, streams, dynamic tables)
  • Google BigQuery, AWS Redshift
  • Databricks Lakehouse + Delta Lake
  • Apache Iceberg, Hudi

Transformation

  • dbt Core and dbt Cloud
  • SQL across PostgreSQL / MySQL / Snowflake / BigQuery
  • Spark and PySpark
  • Pandas / Polars for medium data

Orchestration & Streaming

  • Airflow, Prefect, Dagster
  • Kafka, Kinesis, Pub/Sub
  • Debezium CDC, Fivetran, Stitch
  • Materialize, RisingWave for real time

Quality & Observability

  • dbt tests, Great Expectations, Soda
  • Monte Carlo, Datafold, OpenLineage
  • Data contracts and schema registries
  • Cost monitoring (Snowflake credits, BQ slots)
What They Build

Real work delivered, not hypothetical

Sample Engagements

Recent Data Engineer work at RG INSYS

Migrated a UK retailer from a Postgres reporting replica to Snowflake + dbt with 220 models, cut report latency from hours to minutes.
Built a Kafka + Debezium CDC pipeline streaming 18 production tables into BigQuery in real time.
Cut Snowflake spend 41% for a fintech via warehouse right sizing, query rewrites, and clustering keys.
Engagement Models

Three ways to hire your Data Engineer

Switch models anytime. No long lock ins. 2 week trial available.

Hourly
From $42/hr

For short tasks, code reviews, urgent fixes, or proof of concepts.

  • Minimum 20 hours/week
  • Weekly time tracking and reporting
  • Cancel anytime with 1 week notice
Dedicated Team
From $9,800/month

Data Engineer + supporting roles (frontend, backend, DevOps, QA) under one tech lead.

  • 2 to 8 engineers + tech lead included
  • Sprint planning every 2 weeks
  • Code reviews and CI/CD pipelines included
Why RG INSYS

A Data Engineer who codes with AI from day one

Hiring a Data Engineer from RG INSYS is different from a typical staffing engagement. Every engineer on our bench uses Claude Code, Cursor IDE, and GitHub Copilot daily. That is not a sales line, it is a hard requirement on day one of the contract.

For you that means three things. Faster shipping, the AI handles the boilerplate so the engineer focuses on architecture, edge cases, and your domain. Lower cost, you get senior India based engineers at the rate of UK or US juniors. Higher quality, AI generated tests run on every PR before human review, and our internal benchmarks show roughly 2.5× to 3× output uplift on production codebases.

If the engineer is not the right fit in the first 2 weeks you pay nothing for the trial period and we replace them at no cost. NDAs are signed before any disclosure and full IP is assigned to you, the code lives in your repos under your accounts.

FAQ

Common questions about hiring a Data Engineer

How quickly can a Data Engineer start?

Most Data Engineer roles ship a 2 to 3 person shortlist within 48 hours of a signed NDA. The chosen engineer typically starts within 5 to 10 working days, depending on your interview pace.

What level of seniority do you provide?

Our default is mid to senior (4+ years of production experience). We also have principal engineers for architecture work and tech leads available on request, both at higher monthly rates.

Can the Data Engineer work in our timezone?

Yes. Engineers commit to a flexible 8 hour day with at least 4 hours overlap with your team. UK, EU, US East/West, UAE, and Australia are all supported.

Do you replace the engineer if it's not a fit?

Yes. The first 2 weeks are a paid trial. If you decide not to continue, you pay nothing for the trial and we replace the engineer at no cost.

Who owns the IP and the code?

You do. Every engagement includes a full IP assignment clause and an NDA. The code lives in your repos, on your infrastructure, under your accounts. We do not retain copies after handover.

What happens if the engineer is on leave or sick?

Planned leave is communicated 2 weeks in advance and is covered by a backup engineer briefed by the primary. Unplanned sickness is handled the same way. You never pay for time the engineer isn't producing.

Free shortlist within 48 hours

Ready to hire your
Data Engineer?

Tell us the role, stack, and timezone. We'll send a 2 to 3 person shortlist with CVs, GitHub, and rates within 48 hours. Free 2 week trial available.

Typical response within 4 business hours · NDA on request before any disclosure

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