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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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Posted 1 hour ago
Senior Solution Engineer, Partnerships - Brazil
Snowflake
BR-Brazil-Remote
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At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are en...
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Posted 1 day ago
Sr. Forward Deployed Engineer - Public Sector
Databricks
Alabama; Berkeley, California; Connecticut; Kansas City, Missouri; Maryland; New Hampshire; New Jersey; North Carolina; Remote - California; Remote - Colorado; Remote - Illinois; Remote - Massachusetts; Remote - Missouri; Remote - New York; Remote -
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Due to federal contract requirements and client site access obligations, eligibility for a U.S. government Public Trust, Secret and/or Top Secret clea...
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Posted 4 days ago
Senior Solution Engineer
Snowflake
IL-Israel-Remote · also open in 2 other locations
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At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are en...
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Posted 4 days ago
Senior Data Engineer, Data Analytics
Agility Robotics
Remote
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Agility’s commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physicall...
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Posted 4 days ago
Sr. Solutions Architect - Travel and Hospitality
Databricks
Austin, Texas; Chicago, Illinois; Dallas, Texas; Remote - Texas
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As a Sr. Solutions Architect, you are an expert-level technical leader responsible for the organization's most complex customer engagements. You drive...
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Posted 4 days ago
Senior Software Engineer - Catalog
Dremio
Portugal - Remote
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Dremio is the unified lakehouse platform for self-service analytics and AI, serving hundreds of global enterprises, including Maersk, Amazon, Regenero...
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Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, St...
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Posted 1 week ago
Staff Software Engineer Engineer, Model Development Platform
Wayve
Sunnyvale, California USA
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Before the detail, here's the challenge you'd help us solve. We build the embodied intelligence that moves real vehicles safely, and the ecosystem a b...
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Posted 1 week ago
Senior Machine Learning Engineer: Search Quality
Constructor
Remote
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Launched in 2019, Constructor is an AI-first ecommerce search and discovery platform that helps shoppers find the right products at the right time and...
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Constructor is the next-generation platform for search and discovery in ecommerce, built to explicitly optimize for metrics like revenue, conversion r...
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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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