2,100+ Data Engineers Available

Find a Data
Engineer

Hire pre-vetted Spark, Airflow, Snowflake and dbt engineers in as little as 48 hours. Enterprise-grade talent matching powered by AI + human expertise.

48 hrs
Time to match
Top 3%
Acceptance rate
150+
Countries

Trusted by industry leaders

Amazon Adobe Uber Bloomberg Boeing Coca-Cola
Data Engineering Stack

Every Pipeline. Every Platform.
One Network.

Access engineers skilled in the complete data engineering ecosystem — from ETL frameworks to cloud data warehouses and modern transformation tools.

Python

1,800+ engineers

S

Spark

920+ engineers

A

Airflow

780+ engineers

SF

Snowflake

650+ engineers

dbt

dbt

540+ engineers

SQL

2,100+ engineers

BigQuery Databricks Kafka Redshift AWS Glue Azure Data Factory Terraform Docker Kubernetes Fivetran Prefect Luigi

Need a specialist in a specific data platform?

Tell Us Your Requirements
Simple Process

How to Find Your Data Engineer

From requirements to matched talent in as little as 48 hours. Our AI + human approach ensures you get exactly the right fit.

1

Share Your Requirements

Tell us about your data engineering needs — tech stack, cloud platform, data volumes, and timeline. Our AI analyzes your requirements against 500K+ engineer profiles.

  • Technical stack matching
  • Experience level filtering
  • Timezone & availability
2

Review Matched Candidates

Within 48 hours, receive a curated shortlist of pre-vetted data engineers. Each candidate includes detailed profiles, past project examples, and verified reviews.

  • 3-5 matched candidates
  • Video introductions
  • Architecture samples & case studies
3

Start Building Together

Interview your top picks and onboard seamlessly. WorkGenius handles contracts, payments, and compliance across 150+ countries so you can focus on your data infrastructure.

  • Compliant contracts
  • Global payments handled
  • Ongoing support

Ready to find your data engineer?

Schedule a free consultation and get matched within 48 hours.

Schedule a Call
Data Engineering Projects

What Can Data Engineers Build?

From ETL pipelines to real-time streaming platforms, our engineers deliver production-ready data infrastructure at scale.

Data Pipeline Development

Build robust, scalable data pipelines that move data from sources to destinations reliably. Batch and streaming architectures with proper monitoring.

AirflowPrefectPython

Data Warehouse Architecture

Design and implement modern cloud data warehouses with dimensional modeling, data marts, and optimized query performance.

SnowflakeBigQueryRedshift

ETL & Data Transformation

Extract, transform, and load data from diverse sources. Clean, validate, and enrich data for analytics and machine learning use cases.

dbtSparkSQL

Real-Time Streaming

Implement streaming data architectures for real-time analytics, event processing, and low-latency data delivery to downstream systems.

KafkaSpark StreamingFlink

Data Lake Implementation

Build scalable data lakes on cloud platforms with proper governance, cataloging, and cost optimization. Support for structured and unstructured data.

DatabricksDelta LakeS3

Data Quality & Governance

Implement data quality frameworks, lineage tracking, and governance policies. Ensure data accuracy, consistency, and compliance across the organization.

Great ExpectationsMonte Carlodbt Tests

Have a specific data engineering project in mind?

Discuss Your Project
Why WorkGenius

Not Just Another
Freelance Marketplace

Traditional platforms give you thousands of profiles to sift through. WorkGenius gives you 3-5 perfect matches — pre-vetted engineers who fit your exact needs.

AI + Human Expertise

Our AI analyzes technical requirements while expert recruiters assess culture fit and soft skills.

Pre-Vetted Quality

Only the top 3% of applicants pass our technical assessments, live interviews, and background checks.

Enterprise Compliance

Compliant hiring in 150+ countries. We handle contracts, payments, taxes, and legal requirements.

Get Started Today

Free consultation. No commitment required.

48hrs
Average time to first match
500K+
Pre-vetted engineers
98%
Client satisfaction rate
150+
Countries supported
Common Questions

Data Engineer Hiring FAQ

How quickly can I hire a data engineer?

With WorkGenius, you can receive matched data engineer candidates within 48 hours. Our AI-powered matching combined with human expertise ensures you get pre-vetted talent that matches your exact requirements. From initial consultation to engineer onboarding, most clients complete the hiring process within 1-2 weeks.

What data engineering technologies do your engineers specialize in?

Our network includes 2,100+ pre-vetted data engineers specializing in:

  • Orchestration: Apache Airflow, Prefect, Dagster, Luigi
  • Processing: Apache Spark, Apache Flink, Databricks, AWS Glue
  • Warehouses: Snowflake, BigQuery, Redshift, Azure Synapse
  • Transformation: dbt, Spark SQL, Pandas, Polars
  • Streaming: Apache Kafka, Kinesis, Pub/Sub, Spark Streaming
  • Languages: Python, SQL, Scala, Java

How are data engineers vetted?

Every engineer goes through a rigorous multi-step vetting process:

  1. Application Review: Resume, past projects, and experience verification
  2. Technical Assessment: SQL proficiency, Python coding, and data modeling challenges
  3. Live Coding Interview: Real-time problem-solving with senior data engineers
  4. System Design Review: Data architecture and pipeline design evaluation
  5. Background Verification: Identity and professional reference checks

Only the top 3% of applicants make it into our network.

What does it cost to hire a data engineer?

Rates vary based on experience level, specialization, and location. Typical ranges:

  • Junior Data Engineer: $40-70/hour
  • Mid-Level Data Engineer: $70-110/hour
  • Senior Data Engineer: $110-160/hour
  • Data Platform Architect: $160-220+/hour

WorkGenius provides transparent pricing with no hidden fees. We handle all payments, taxes, and compliance.

Can data engineers work with our existing cloud platform?

Absolutely. Our data engineers have experience across all major cloud providers:

  • AWS: S3, Redshift, Glue, EMR, Kinesis, Lambda
  • Google Cloud: BigQuery, Dataflow, Cloud Composer, Pub/Sub
  • Azure: Synapse, Data Factory, Databricks, Event Hubs
  • Multi-Cloud: Snowflake, Databricks, Fivetran, dbt Cloud

We match engineers based on your specific cloud environment and existing tech stack.

What if the data engineer isn't the right fit?

We stand behind our matching quality with a replacement guarantee. If an engineer doesn't meet your expectations within the first two weeks, we'll provide a replacement at no additional cost. Our 98% client satisfaction rate reflects our commitment to finding the right fit the first time.

Still have questions? Let's talk.

Schedule a Call
Start Hiring Today

Find Your Perfect
Data Engineer

Join 500+ companies that trust WorkGenius for their data engineering needs. Get matched with pre-vetted Spark, Airflow, and Snowflake engineers in 48 hours.

No commitment required. Free consultation included.