Remote positions

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 1 month ago

Emerging Clouds & International Coverage Lead

Baseten

San Francisco

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intern
Full-time
English
$150K – $235K / year
spark machine learning
Full page
Baseten

Posted 1 month ago

Data Centers & Powered Land Sourcing Lead

Baseten

San Francisco

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lead
Full-time
English
$175K – $215K / year
spark machine learning
Full page
Baseten

Posted 1 month ago

Hyperscalers & Strategic Neoclouds Lead

Baseten

San Francisco

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lead
Full-time
English
$185K – $260K / year
spark machine learning
Full page
PathAI

Posted 1 month ago

Associate Director, MLOps Engineering

PathAI

Boston (Onsite) Preferred, New York (Onsite), or Remote

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executive
Full-time
English
machine learning aws pytorch azure machine learning +9 more
Full page
Baseten

Posted 1 month ago

Compute Strategy & Operations

Baseten

San Francisco

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Full-time
English
$190K – $235K / year
spark machine learning
Full page
Baseten

Posted 1 month ago

NVIDIA, OEM & Chip Providers Lead

Baseten

San Francisco

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lead
Full-time
English
$175K – $215K / year
spark machine learning
Full page
Agility Robotics

Posted 1 month ago

Staff Software Engineer, Data Platform

Agility Robotics

Remote

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staff
Full-time
English
$191K – $299K / year
Full page
Baseten

Posted 1 month ago

Capacity Manager, Operations

Baseten

San Francisco

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Full-time
English
$225K – $235K / year
spark machine learning
Full page
Baseten

Posted 1 month ago

Product Designer

Baseten

San Francisco

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Full-time
English
$225K – $290K / year
spark machine learning typescript
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Baseten

Posted 1 month ago

Design Engineer (Brand Team)

Baseten

San Francisco

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Full-time
English
$190K – $240K / year
spark machine learning react typescript next.js
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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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