Hire AI Engineers / Data Engineering

Hire data engineers who build pipelines you actually trust

Pre-vetted data engineers from India — pipeline builders, warehouse designers, and infrastructure plumbers. From Airflow DAGs to Spark clusters to dbt models to streaming infra, sourced for technical depth and communication.

70%
Cost savings vs US/UK
7–10
Days to hire
500+
Data engineers placed
95%
Client retention

Why Empiryx

Why hire data engineers from Empiryx

Pipeline builders who care about data quality, not just throughput
Fluent in Airflow, dbt, Spark, and your warehouse of choice
Streaming and batch — picked by what the workload needs
Pre-screened for English fluency and async collaboration
IST timezone overlaps with US mornings and EU afternoons
Replace a poor fit in the next batch, no awkward conversations

Expertise

Data engineering skills we specialize in

01

Pipeline engineering

Airflow, Dagster, Prefect — DAGs with retries, observability, and SLAs.

02

Warehouse design

Snowflake, BigQuery, Redshift — modeling for cost and query performance.

03

Transformations

dbt models with tests, docs, and lineage you can reason about.

04

Streaming

Kafka, Flink, Kinesis — pipelines for real-time dashboards and alerting.

Expertise

Roles & capabilities we specialise in

A deeper look at the specialists we place and the work they ship.

Cloud warehouses

Snowflake, BigQuery, Redshift — modeling for cost and performance.

ETL & ELT

Airflow, dbt, Fivetran, Airbyte — picked per workload.

Streaming

Kafka, Kinesis, Flink — real-time pipelines for dashboards and alerts.

Lakehouses

Iceberg, Delta, Hudi — for teams outgrowing a single warehouse.

Data quality

Great Expectations, Soda, and dbt tests as part of the pipeline.

Cataloging

DataHub, OpenMetadata — discoverability and lineage out of the box.

Industries we serve

Built for high-stakes sectors

Domain-aware engineers who understand your sector's constraints — not just the syntax.

FinTech

Compliance and trade data pipelines

E-commerce

Inventory and customer 360 pipelines

Healthcare

PHI-safe ingestion and warehouse modeling

SaaS

Product analytics and event warehouse builds

FAQ

Answers to common questions

Process

How it works

01

Share your requirements

Tell us the sources, the warehouse, and the pipelines you need built.

02

Get matched in 48 hours

We surface pre-vetted data engineers from our curated network.

03

Interview & select

You interview and choose — full control, no hand-me-downs.

04

Start in 7–10 days

Engineers onboard and start building pipelines fast.

Get started

Build your data team in 7–10 days

Tell us the pipelines. We'll bring the vetted engineers to interview.

Let's talk

Tell us what you're building

Share your engineering goals and the Empiryx team will respond within 24 hours with a tailored path forward.