Hire Data Engineers
Hire Data Engineers
Data engineers who build the pipelines and warehouses behind trusted reporting and successful AI projects.
- Interview before you commit
- Work in your time zone
- NDA and full IP ownership
What they build
What our Data Engineers build
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Data Pipelines
Automated, monitored ETL/ELT.
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Warehouses & Lakehouses
Fabric, Snowflake, BigQuery or Databricks.
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BI Models
Clean models for Power BI and other tools.
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Streaming
Real-time data with Kafka or Event Hubs.
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Data Quality
Tests, lineage and governance.
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AI Data Prep
Datasets and embeddings for ML and RAG.
How hiring works
Your developer, in four simple steps
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Share your needs
Tell us about your product, stack, seniority and working hours. We sign an NDA first.
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Meet the shortlist
Review profiles and interview the developers you like. You choose who joins.
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Onboard & start
Your developer joins your tools, stand-ups and sprints, managed with you.
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Scale anytime
Add developers, testers or designers, or scale down with flexible monthly contracts.
Skills
Data skills we cover
Languages
- SQL
- Python
- Spark
Platforms
- Microsoft Fabric
- Snowflake
- Databricks
- BigQuery
Tools
- dbt
- Airflow
- Azure Data Factory
- Kafka
Related
Hire other specialists
Client reviews
What clients say about working with us
Verified reviews from founders and CTOs on Clutch.
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Staff Augmentation
Staff Augmentation & Software Development for a Cloud Platform
Their talent and agility as developers are exceptional.
Hemen Showkati
Co-Founder & CEO, Doprax Oct 2021 – Ongoing
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Staff Augmentation
Remote Software Development Support
Their responsiveness proved to be extremely valuable for the project.
Nathaniel Bibler
CEO & Development Director, Envy Labs Mar 2022 – Jan 2023
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Staff Augmentation
Staff Augmentation for a Support Company
They worked with us enthusiastically, taking the time to understand our needs and offering helpful solutions.
James Sullivan Founder & CEO, Support Company Mar 2022 – Feb 2023 Verified review on Clutch (James Sullivan, opens in a new tab)
FAQ
Hire Data Engineers: frequently asked questions
Straight answers to what clients ask us most.
Need advice for your project?
Every product is different. Talk to a senior engineer about your tech stack, timeline and team, and get honest advice on your next step.
Talk to an ExpertWhat does a data engineer do?
They build and maintain the systems that move, clean and store data for analytics and AI.
Data engineer or data scientist?
Data engineers build the data foundation; data scientists build models on it. Most projects need the foundation first.
Which platforms do your data engineers know?
Microsoft Fabric, Azure, Snowflake, Databricks, BigQuery, dbt and Airflow.
Can they work with our BI team?
Yes. They provide clean models your analysts can use.
Free discovery call
Have an idea? Let's turn it into AI-powered software.
Book a free discovery call with our experts. Share your idea and we will help you shape the scope, timeline and budget, under NDA.
- Free consultation
- NDA before we talk
- Transparent estimate