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Remote Apache Spark Jobs
Browse vetted remote Spark positions — PySpark data engineering, large-scale ML data processing, and Databricks Lakehouse development roles.
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Posted 3 hours ago
Business Development Representative
About UsTavus is a research lab pioneering human computing. We’re building AI Humans: a new interface that closes the gap between people and machines,...
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Posted 14 hours ago
Senior Engineer, ML Data Services
Mission Summary: We are seeking a Senior Engineer to join our ML Data Services team and help us build and improve data infrastructure for Autonomy ML...
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Posted 20 hours ago
Senior Full Stack Engineer, AI & Growth Systems
About EveEve is redefining legal technology for plaintiff law firms, and we're building the team that will take us there. We help firms handle more c...
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Posted 21 hours ago
Senior Data Engineer
About EveEve is redefining legal technology for plaintiff law firms, and we're building the team that will take us there. We help firms handle more c...
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Posted 1 day ago
Software Engineer - Query Execution
Be Part of Building the Future Dremio is the unified lakehouse platform for self-service analytics and AI, serving hundreds of global enterprises, inc...
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Posted 1 day ago
Senior Staff Software Engineer - Query Execution
Be Part of Building the Future Dremio is the unified lakehouse platform for self-service analytics and AI, serving hundreds of global enterprises, inc...
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Posted 1 day ago
Software Engineer, Product
Product engineering at Descript means owning outcomes, not just tickets — you'll take a problem from a rough idea to a shipped, measured result, worki...
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Posted 1 day ago
Forward Deployed Engineer, Physical AI Infrastructure
About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that suppo...
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Posted 1 day ago
Software Engineer, Infrastructure
Platform owns the foundation the company runs on: compute and deployment, reliability and on-call, CI/CD and monorepo health, developer environments,...
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Posted 1 day ago
Lead Editor Product Manager
About the role Descript's script-based editing features are at the heart of why creators trust us for their highest-stakes content. Product launches....
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Role guide
What to expect in remote Spark jobs
Apache Spark is the standard engine for large-scale data processing at AI companies. Remote Spark jobs involve building PySpark pipelines, optimising Spark jobs for performance and cost, and integrating Spark with Databricks or cloud platforms for ML data preparation. Engineers with Spark expertise are foundational to any data-intensive AI team.
What you'll work on
- Build PySpark ETL pipelines that process large-scale ML training datasets
- Optimise Spark job performance — partitioning, caching, broadcast joins
- Develop Spark Structured Streaming pipelines for real-time ML feature computation
- Integrate Spark with Databricks Delta Lake for reliable large-scale data processing
What companies look for
- PySpark DataFrame API proficiency and SQL optimisation
- Spark performance tuning — executor configuration, shuffle optimisation, skew handling
- Databricks or EMR deployment and cluster management experience
Frequently asked questions
What remote Spark jobs are available on RemoteAI?
Data engineering and ML data pipeline roles where Spark is the primary processing engine. Most require PySpark alongside Databricks or EMR deployment experience.
Is PySpark the standard for remote Spark engineering roles?
Yes. The vast majority of remote Spark job listings specify PySpark (Python API) rather than Scala Spark. Scala Spark knowledge is a plus but rarely required.
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