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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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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 2 months ago
Sr. Forward Deployed Engineer
Databricks
Remote - Washington D.C.
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As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databri...
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Posted 2 months ago
Senior Member of Technical Staff, Web Data
Cohere
Toronto
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Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are de...
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The Applied team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses. We seek to learn fr...
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Posted 2 months ago
Solutions Architect - Strategic High Tech
Databricks
Remote - California; San Francisco, California
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While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. #LI-REMOTE As a Strategic S...
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Posted 2 months ago
Forward Deployed Engineer (Training)
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 2 months ago
Sr. Forward Deployed Engineer (FDE) - Public Sector
Databricks
Alabama; Chicago, Illinois; Columbus, Ohio; Connecticut; Florida; Indiana; Maryland; New Jersey; Remote - Arizona; Remote - California; Remote - Colorado; Remote - Georgia; Remote - Illinois; Remote - Massachusetts; Remote - Missouri; Remote - New Yo
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*This role requires an active Secret or Top Secret clearance* At Databricks, we are passionate about enabling data teams to solve the world's toughest...
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Posted 2 months ago
Staff+ Software Engineer, Data Infrastructure
Anthropic
Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY
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Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society...
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Posted 2 months ago
Software Engineer - AI Developer Productivity
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 2 months ago
Software Engineer - Testing Frameworks
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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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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