2.100+ Data Engineers verfügbar

Data
Engineers finden

Engagieren Sie geprüfte Engineers für Spark, Airflow, Snowflake und dbt in nur 48 Stunden. Enterprise-Matching mit KI + menschlicher Expertise.

48 hrs

Zeit bis zum Match

Top 3%

Aufnahmequote

150+

Länder

Data Engineers finden So funktioniert’s

Elena K.

Senior Data Engineer

4.9 (143 Bewertungen)

Spark Airflow Python

James O.

Data Platform Architect

5 (98 Bewertungen)

Snowflake dbt

Mei Z.

ETL & Pipeline Specialist

4.8 (167 Bewertungen)

BigQuery Databricks SQL

Vertrauen führender Unternehmen

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

Spark

920+ engineers

Airflow

780+ engineers

Snowflake

650+ engineers

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?

Teilen Sie uns Ihre Anforderungen mit

Einfacher Prozess

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.

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

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

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.

Gespräch vereinbaren

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?

Projekt anfragen

Warum 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.

Starten Sie noch heute

Kostenlose Beratung. Keine Verpflichtung.

48hrs

Average time to first match

500K+

Pre-vetted engineers

98%

Client satisfaction rate

150+

Countries supported

Häufige Fragen

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:

Application Review: Resume, past projects, and experience verification
Technical Assessment: SQL proficiency, Python coding, and data modeling challenges
Live Coding Interview: Real-time problem-solving with senior data engineers
System Design Review: Data architecture and pipeline design evaluation
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.

Noch Fragen? Sprechen wir darüber.