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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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Spark Data Engineer PySpark Developer Big Data Engineer ML Data Pipeline Engineer Lakehouse Engineer

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Jobs & Projects

Baseten

Posted 3 months ago

Software Engineer - Infrastructure

Baseten

London

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

Posted 3 months ago

Software Engineer - Training Product

Baseten

London

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

Posted 3 months ago

Product Manager, Inference Platform

Baseten

London

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Full-time
English
$235K – $335K / year
spark kubernetes machine learning
Full page
Baseten

Posted 3 months ago

Software Engineer - Training Infrastructure

Baseten

London

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

Posted 3 months ago

Software Engineer - GPU Kernels

Baseten

London

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Full-time
English
$180K – $360K / year
aws spark machine learning machine learning cuda
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Cohere

Posted 3 months ago

Member of Technical Staff, Pre-Training Data

Cohere

Toronto

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staff
Full-time
English
C$250K – C$535K / year
python pandas spark nlp machine learning
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Databricks

Posted 3 months ago

Staff Forward Deployed Engineer

Databricks

Remote - India

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staff
Full-time
English
Full page
Databricks

Posted 3 months ago

Sr. Forward Deployed Engineer (FDE) - Retail

Databricks

Remote - California

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senior
Full-time
English
$182K – $250K / year
Full page
Databricks

Posted 3 months ago

Solutions Architect - Healthcare/Life Sciences Team (HLS)

Databricks

Remote - Illinois · also open in 1 other location

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Full-time
English
$180K – $248K / year
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Databricks

Posted 3 months ago

Solutions Architect - Digital Native Business, Named Accounts

Databricks

Nevada; Remote - California; Remote - Colorado; Remote - Oregon; Remote - Washington

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Full-time
English
$180K – $248K / 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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