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Browse remote Spark positions — PySpark data engineering, large-scale ML data processing, and Databricks Lakehouse development roles.
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Posted 7 months ago
Applications closedPhotonSense
Remote
Our content recommendation system was built 4 years ago and hasn't been meaningfully improved since. Click-through rates are declining and our users a...
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Posted 7 months ago
Applications closedCognia
Remote (US-friendly timezone)
We process 500 million events per day. Stack is Kafka + Spark on AWS, orchestrated via Airflow. It's held up, but end-to-end latency on our critical e...
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Digital news platform, 6M monthly active readers. Our recommendation system is collaborative filtering built in 2020. It pushes readers toward the sam...
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Posted 8 months ago
Applications closedDocuLex AI
Remote
We operate 280 retail stores across Central Europe. Our forecasting is done in Excel by regional managers. It's wrong. Not slightly wrong — expiry wri...
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Three data engineers, five ETL tools, zero documentation. Every time someone asks "where does this metric come from" we get three different answers. W...
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Role guide
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 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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