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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 4 months ago
Applications closedIntevo AI
Remote
Berlin, Germany (UTC+1)
Being spread across four continents means we ship based on what the data shows, not who's loudest. What we already have is a strong discovery feed and...
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Posted 4 months ago
Applications closedUnvix Works
Remote
Chicago, United States (UTC-6)
Unvix Works builds modern data pipeline infrastructure for enterprises migrating off legacy ETL tools. One of the messiest parts of any migration is r...
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Posted 4 months ago
Applications closedVelmox Data
Remote
New York, United States (UTC-5)
What we already have: a production feature store serving 200+ features across 15 ML models, built on a custom internal system that's become a maintena...
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Posted 4 months ago
Applications closedLyrex Data
Remote
Chicago, United States (UTC-6)
Lyrex Data's platform is used by data governance teams at enterprise companies to manage their data catalog. One of the most persistent pain points: n...
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Posted 4 months ago
Applications closedInfera Cloud
Remote
Los Angeles, United States (UTC-8)
What we already have: petabyte-scale data lakes, a mature batch pipeline stack, and strong ML models. What we're missing: a real-time event fabric tha...
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Posted 4 months ago
Applications closedRelvix Data
Remote
Chicago, United States (UTC-6)
Relvix Data's platform helps data teams catch problems in their pipelines before downstream consumers ever notice. We've built strong data lineage and...
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Posted 4 months ago
Applications closedCandor Systems
Remote
Chicago, United States (UTC-6)
We serve over 300 enterprise compliance teams — HR departments, ethics officers, and legal investigators — who use Candor's platform to identify patte...
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Posted 4 months ago
Applications closedUelvex Cloud
Remote
New York, United States (UTC-5)
An API platform's health is determined not just by its own uptime and latency but by the health of the ecosystem built on top of it. A partner integra...
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Posted 4 months ago
Applications closedInfera Cloud
Remote
London, United Kingdom (UTC+0)
You'd join a team of 6 data engineers who've spent three years building streaming data pipelines for cloud-native companies. The infrastructure is sol...
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Posted 4 months ago
Applications closedQuelion Intelligence
Remote
New York, United States (UTC-5)
Duration risk is the sensitivity of a bond portfolio's value to changes in interest rates. A portfolio with a duration of 8 years loses approximately...
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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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