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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

ClickHouse

Posted 4 weeks ago

Senior Technical Customer Support Engineer, Federal

ClickHouse

United States

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senior
Full-time
English
$139K – $194K / year
Full page
ClickHouse

Posted 4 weeks ago

Senior Consulting Engineer - Australia

ClickHouse

Australia

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senior
Full-time
English
Full page
Snowflake

Posted 4 weeks ago

Senior Solution Engineer - Expansion

Snowflake

NL-Amsterdam

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senior
Full-time
English
machine learning spark snowflake dbt
Full page
ClickHouse

Posted 4 weeks ago

Senior Consulting Engineer - Japan

ClickHouse

Japan

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senior
Full-time
English
Full page
Snowflake

Posted 4 weeks ago

Senior Solution Engineer - Acquisition

Snowflake

NL-Amsterdam

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senior
Full-time
English
machine learning spark snowflake dbt
Full page
Wayve

Posted 4 weeks ago

Full Stack Software Engineer, Evaluation Tools

Wayve

Sunnyvale, California USA

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Full-time
English
$210K – $311K / year
Full page
ClickHouse

Posted 4 weeks ago

Solutions Architect - Mexico

ClickHouse

Mexico City

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Full-time
English
Full page
Supabase

Posted 4 weeks ago

Software Engineer - Spark

Supabase

Remote, Global

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Full-time
English
sql vector databases supabase spark
Full page
ClickHouse

Posted 4 weeks ago

Senior Cloud Data Infrastructure Engineer (APJ Remote)

ClickHouse

Singapore

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senior
Full-time
English
Full page
ClickHouse

Posted 4 weeks ago

Senior Cloud Data Infrastructure Engineer (US Remote)

ClickHouse

United States

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senior
Full-time
English
$150K – $230K / 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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