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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
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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 2 weeks ago

Software Engineer - Billing & Internal Tooling

Baseten

San Francisco

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intern
Full-time
English
$165K – $330K / year
machine learning spark
Full page
Baseten

Posted 2 weeks ago

Software Engineer - Identity & Authorization

Baseten

San Francisco

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

Posted 2 weeks ago

Senior Technical Customer Support Engineer - India

ClickHouse

India

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senior
Full-time
English
Full page
Baseten

Posted 2 weeks ago

Technical Program Manager, Forward Deployed Engineering

Baseten

San Francisco

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

Posted 2 weeks ago

Product Platform - Product Engineer

Baseten

San Francisco

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Full-time
English
$165K – $330K / year
machine learning spark ai agents
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Baseten

Posted 2 weeks ago

IT Systems Engineer

Baseten

Remote

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Full-time
English
$175K – $225K / year
python machine learning spark
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Supabase

Posted 2 weeks ago

Engineering Manager - Spark

Supabase

Remote, Global

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Full-time
English
spark supabase vector databases
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Wayve

Posted 2 weeks ago

Software Engineer - Map & Route

Wayve

London, United Kingdom

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Full-time
English
Full page
Databricks

Posted 2 weeks ago

Senior Forward Deployed Engineer, Sr FDE (L5)

Databricks

Remote - India

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senior
Full-time
English
Full page
Elicit

Posted 2 weeks ago

Senior Software Engineer, Data and Integrations

Elicit

Oakland, CA (or remote within US timezones)

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senior
Full-time
English
python react sql spark typescript +1 more
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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