Hire Remote Big Data Engineer
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Lower costs:
Save 50–70% compared to local salaries.
Access to global skills:
Tap into a vetted network of hire remote QA engineer talent across the Philippines, Latin America, and South Africa
Time zone alignment:
Get full workday overlap with U.S. hours.
Scalable and flexible:
Add or remove QA engineers as your testing needs evolve. With Hire Overseas, you don’t just fill roles — you build a world-class, distributed QA and testing team.
With Hire Overseas, you don’t just fill roles — you build a world-class, distributed team.
Why Hire Through Hire Overseas
Rigorous Vetting
Every engineer passes a 3-stage assessment covering distributed data systems, ETL pipelines, cloud platforms, and communication.
Global Talent Network
We source from the top 3 talent regions — the Asia, Latin America, and South Africa — ensuring technical excellence and cultural alignment.
Fast Matching
Tell us what you need, and we’ll match you with pre-vetted big data engineers within 48 hours.
Guaranteed Quality
Start risk-free. If you’re not satisfied, we’ll replace your hire — free of charge.
Hire Big Data Engineers for Any Pipeline
We help you hire big data engineers skilled in Hadoop, Spark, AWS pipelines, real-time processing, and scalable infrastructure design.
We help you hire across all major data engineering roles — whether you need pipeline builders, ETL experts, or cloud data architects.
Available Roles:
- Big Data Engineers
- Data Pipeline Engineers
- Hadoop Engineers
- Spark Engineers
- ETL & Data Integration Specialists
- Cloud Data Engineers (AWS, Azure, GCP)
- Real-Time Data Processing Engineers
- Data Warehouse & Data Lake Architects
Skills & Tools Covered:
Hadoop, Spark, Kafka, Airflow, AWS Glue, EMR, Redshift, BigQuery, Azure Data Factory, Snowflake, Hive, Python, Scala, ETL design, streaming pipelines, batch processing, data modeling, warehouse optimization, data lake architecture, and machine learning pipeline support.
Find World-Class Overseas Talent
We help growing companies access premium talent from around the world.
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How It Works
Tell us your requirements
Share your data architecture, platforms, volume, and pipeline needs.
Get matched in 48 hours
We send pre-screened big data engineers with proven large-scale experience.
Interview & hire
You choose the engineer who fits your your data stack and project goals.
Onboard & start building
Your new engineer begins working — aligned with your U.S. time zone.
I’ve worked with other outsourcing firms. Most send bodies. Philip sent builders. He helped us scale the Rupa brand into the category leader in functional medicine—and did it with a team that felt in-house from day one.
The future of company building is AI plus overseas talent and no one is better positioned to help you execute on that vision than Hire Overseas. With the right global team and smart automation, scaling isn’t just possible, it’s inevitable.
We laid off our whole marketing team. Rebuilt brick by brick with global freelancers. The team we got from Hire Overseas? They perform better—at a tenth of the cost.
Frequently asked questions
What can a remote big data engineer handle?
They design ETL pipelines, build distributed systems, integrate data sources, optimize clusters, manage cloud pipelines, and support advanced analytics.
Do your engineers specialize in Hadoop and Spark?
Yes — we provide experts in Hadoop ecosystems, Spark streaming, Kafka processing, Airflow orchestration, and large-scale data pipelines.
Can I hire cloud-focused big data engineers?
Absolutely. Our talent includes AWS, Azure, and GCP-certified data engineers experienced in Redshift, BigQuery, EMR, Glue, and more.
How fast can I hire a remote big data engineer?
You’ll receive a shortlist within 48 hours and typically hire within 10–14 days.
What’s the cost to hire a big data engineer overseas?
Most companies save 50–70% while gaining access to elite distributed data engineering talent.
Ready to Hire a Remote Big Data Engineer, Today?
Get the list of our pre-vetted and skilled Engineers —who are ready to start at any time. Experience how fast, flexible, and cost-effective remote hiring can be.