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Remote Apache Spark Jobs
Browse remote Spark positions — PySpark data engineering, large-scale ML data processing, and Databricks Lakehouse development roles.
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Posted 3 weeks ago
Software Engineer, Product
Descript
San Francisco, CA or Remote, US
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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 3 weeks ago
Forward Deployed Engineer, Physical AI Infrastructure
Nebius
Remote - Europe · also open in 1 other location
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Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers...
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Posted 3 weeks ago
Software Engineer, Infrastructure
Descript
San Francisco, CA or Remote, US
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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 3 weeks ago
Lead Editor Product Manager
Descript
San Francisco, CA or Remote, US
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Descript's script-based editing features are at the heart of why creators trust us for their highest-stakes content. Product launches. Client intervie...
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Posted 3 weeks ago
Lead Data Scientist, Product
Descript
San Francisco, CA or Remote, US
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Our vision is to build the next generation platform to enable easy and fast creation of audio and video content powered by cutting-edge AI. Building a...
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Posted 3 weeks ago
Applied Research Scientist, AI Research
Descript
San Francisco, CA or Remote, US
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Descript's Research team builds the models behind the product's most distinctive features: Video Regenerate and lipsync, video translation, zero-shot...
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Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writ...
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Posted 3 weeks ago
Post-Training Applied Researcher
Baseten
San Francisco
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Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writ...
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Posted 3 weeks ago
Engineering Manager, Inference Performance
Baseten
San Francisco
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Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writ...
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Before the detail, here's the challenge you'd help us solve. We build the embodied intelligence that moves real vehicles safely, and the ecosystem a b...
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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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