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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

Snowflake

Posted 4 weeks ago

Senior AI/ML Architect, Applied Field Engineering/Field CTO

Snowflake

SG-Singapore

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senior
Full-time
English
machine learning python aws pytorch pandas +13 more
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ClickHouse

Posted 4 weeks ago

Senior Consulting Engineer - Singapore

ClickHouse

Singapore

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senior
Full-time
English
Full page
ClickHouse

Posted 4 weeks ago

Senior Consulting Engineer - India

ClickHouse

India

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senior
Full-time
English
Full page
Harvey

Posted 1 month ago

Staff Software Engineer, Model Infrastructure

Harvey

San Francisco

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staff
Full-time
English
$231K – $340K / year
python azure machine learning spark kafka +5 more
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Snowflake

Posted 1 month ago

Staff Software Engineer - Unistore

Snowflake

US-CA-Menlo Park

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staff
Full-time
English
$236K – $339K / year
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OpenAI

Posted 1 month ago

Data Scientist, Core Experimentation

OpenAI

Seattle

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Full-time
English
$347K – $385K / year
Full page
ClickHouse

Posted 1 month ago

Senior Software Engineer - Integrations - AI/ML

ClickHouse

Canada · also open in 4 other locations

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senior
Full-time
English
$147K – $238K / year
Full page
Snowflake

Posted 1 month ago

Solutions Architect

Snowflake

IL-Israel-Remote

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Full-time
English
machine learning python sql machine learning spark +4 more
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Harvey

Posted 1 month ago

Engineering Manager, Model Infrastructure

Harvey

San Francisco

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Full-time
English
$260K – $350K / year
azure machine learning spark kafka airflow +3 more
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Dataiku

Posted 1 month ago

Fullstack Software Engineer - Core

Dataiku

France, Remote; Germany, Remote; Netherlands, Remote; Spain, Remote; United Kingdom, Remote

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Full-time
English
tensorflow machine learning python docker aws +13 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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