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

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A

Posted 1 week ago

Machine Learning Engineer 1

Abnormal Security

Remote - Singapore

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Full-time
English
machine learning python aws machine learning spark +2 more
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Baseten

Posted 1 week ago

Software Engineer - Storage Systems (Agent Infra)

Baseten

San Francisco

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Full-time
English
$160K – $330K / year
machine learning spark
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Baseten

Posted 1 week ago

Software Engineer - Networking (Agent Infra)

Baseten

San Francisco

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Full-time
English
$160K – $330K / year
machine learning spark
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Baseten

Posted 1 week ago

Software Engineer - Compute and Isolation

Baseten

San Francisco

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

Posted 1 week ago

Solutions Architect, AI Intake

Eve

Remote - US; San Francisco (Hybrid); San Mateo, CA (Hybrid)

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Full-time
English
$130K – $180K / year
spark Vapi
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Snowflake

Posted 2 weeks ago

Senior AI/ML Architect, Applied Field Engineering

Snowflake

US-TX-Remote

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senior
Full-time
English
$165K – $217K / year
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Baseten

Posted 2 weeks ago

Strategic Compute Investments

Baseten

San Francisco

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Full-time
English
$230K – $255K / year
machine learning spark
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Snowflake

Posted 2 weeks ago

Engineering Manager/Tech Lead Manager - Runtime Engineering

Snowflake

US-CA-Menlo Park

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lead
Full-time
English
$236K – $339K / year
Full page
Baseten

Posted 2 weeks ago

Product Platform - Backend Engineer

Baseten

San Francisco

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

Posted 2 weeks ago

Software Engineer - Partner Platform

Baseten

San Francisco

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