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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 5 months ago
Applications closedAltrix Systems
Remote
Berlin, Germany (UTC+1)
We're building a knowledge graph that connects 2 million biomedical entities — genes, proteins, diseases, drugs, and clinical trials — into a queryabl...
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Posted 5 months ago
Applications closedHalvex Data
Remote
Berlin, Germany (UTC+1)
We serve over 200 enterprise clients in the retail sector, and every recommendation engine, demand forecast, and pricing model depends on the data inf...
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Posted 5 months ago
Applications closedMivex Cloud
Remote
New York, United States (UTC-5)
We run a private GPU cluster — 200 A100s across two data centers on the East Coast. Our clients rent compute for model training, and our infrastructur...
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Posted 5 months ago
Applications closedTalmion Data
Hybrid
New York, United States (UTC-5)
Content recommendation drives 60% of engagement on our client platforms. When the algorithm works well, users discover content they love. When it does...
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Posted 5 months ago
Applications closedSynta Cloud
Hybrid
New York, United States (UTC-5)
A digital twin is a living simulation of a physical system — updated with real-time sensor data, calibrated against actual performance, and used to pr...
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Posted 5 months ago
Applications closedOrvix Works
Remote
New York, United States (UTC-5)
Retailers hold $1.5 trillion in excess inventory globally. Every unsold item represents tied-up capital, warehouse costs, and eventually, markdowns th...
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Posted 5 months ago
Applications closedPaleon Data
Remote
Berlin, Germany (UTC+1)
Insurance companies need to price climate risk 30 years into the future. Traditional actuarial models use historical loss data that no longer reflects...
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Posted 5 months ago
Applications closedLyrex Data
Remote
Los Angeles, United States (UTC-8)
Centralized data teams are a bottleneck. Every analytics request goes through the same 6 engineers, and the backlog is 4 months deep. Our data mesh im...
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Posted 5 months ago
Applications closedUnvix Works
Remote
Berlin, Germany (UTC+1)
Legacy ETL pipelines are the technical debt nobody wants to touch. They're fragile, undocumented, and critical. Our platform uses AI to understand leg...
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Posted 5 months ago
Applications closedMivex Cloud
Remote
New York, United States (UTC-5)
We operate 200 A100 GPUs across two data centers, and utilization is our business model. Every idle GPU-hour is lost revenue. Every training job that...
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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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