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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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Remote worldwide
All job types
Spark Data Engineer PySpark Developer Big Data Engineer ML Data Pipeline Engineer Lakehouse Engineer

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Jobs & Projects

Baseten

Posted 2 months ago

Software Engineer - Continuous Delivery

Baseten

San Francisco

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Full-time
English
$165K – $330K / year
Full page
Baseten

Posted 2 months ago

Software Engineer - Observability

Baseten

San Francisco

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Full-time
English
$165K – $330K / year
python spark machine learning
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Reka

Posted 2 months ago

Member of Technical Staff (Data Intelligence)

Reka

US, UK, Singapore, Remote

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staff
Full-time
English
Full page
Baseten

Posted 3 months ago

AI Inference Engineer

Baseten

San Francisco

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Full-time
English
$165K – $330K / year
python docker spark machine learning Speech Recognition
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Baseten

Posted 3 months ago

Software Engineer - GPU Networking & Distributed Systems

Baseten

San Francisco

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Full-time
English
$165K – $330K / year
python spark kubernetes machine learning llm
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Baseten

Posted 3 months ago

Software Engineer - Model Performance Systems

Baseten

San Francisco

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Full-time
English
$165K – $330K / year
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Baseten

Posted 3 months ago

Base Labs Research Scientist

Baseten

San Francisco

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Full-time
English
$210K – $285K / year
spark machine learning machine learning
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Baseten

Posted 3 months ago

Data Engineer

Baseten

San Francisco

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Full-time
English
$180K – $250K / year
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Baseten

Posted 3 months ago

Base Labs Fellowship

Baseten

San Francisco

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Contract
English
spark statistics machine learning
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Baseten

Posted 3 months ago

Post-Training Research Engineer

Baseten

San Francisco

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Full-time
English
$200K – $275K / year
Full page

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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