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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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Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writ...
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The Statsig team at OpenAI builds and operates the experimentation platform that powers product development, measurement, and decision-making across t...
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Posted 4 weeks ago
Staff Applied AI Engineer - Enterprise AI Solutions
Snorkel AI
New York City, NY (Hybrid); San Francisco, CA (Hybrid); United States (Remote)
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Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine techn...
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Posted 4 weeks ago
Software Engineer - Inference Performance
Baseten
San Francisco
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Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writ...
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Posted 4 weeks ago
Software Engineer - Inference Platform
Baseten
San Francisco
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Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writ...
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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 weeks ago
Staff Backend Engineer, Agent Infrastructure
Airbyte
San Francisco
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We’re on a mission to make data available and actionable to everyone, everywhere. With 700+ connectors, our platform powers analytics and gives AI age...
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At Pika, we are pioneering the next generation of creative infrastructure built around real-time, multimodal generation and intelligent agentic platfo...
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Posted 4 weeks ago
Senior Technical Customer Support Engineer - Singapore
ClickHouse
Singapore
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We are currently growing our support team at ClickHouse who provides excellent service to our customers around the world. We are seeking a Senior Tech...
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現在、世界中のお客様に優れたサービスを提供しているサポートサービスチームの拡大を進めています。グローバルチームに加わり、ClickHouse のエンタープライズ...
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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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