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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 closedLyrex Data
Remote
London, United Kingdom (UTC+0)
A data catalog is only as good as its metadata. If table descriptions are vague, column names are cryptic, and ownership is unassigned, the catalog be...
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Posted 5 months ago
Applications closedFarion Data
Remote
New York, United States (UTC-5)
Marketing budgets are wasted when you spend $200 acquiring a customer who will churn in 3 months. Our CLV prediction models tell marketing teams exact...
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Posted 5 months ago
Applications closedGradrix Works
Remote
New York, United States (UTC-5)
Wire transfers move $5 trillion per day globally. When a fraudulent wire goes through, the money is often irreversible within hours. Our detection sys...
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Posted 5 months ago
Applications closedHalvex Data
Remote
Chicago, United States (UTC-6)
If you raise the price of a $12 item to $13, will you sell 5% fewer units or 25% fewer? The answer depends on the product, the brand, the competitor l...
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Posted 5 months ago
Applications closedAxion Labs
Remote
New York, United States (UTC-5)
Drug discovery pipelines generate petabytes of multi-omics data — genomics, proteomics, metabolomics — but the biomarkers that predict therapeutic res...
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Posted 5 months ago
Applications closedDelven Labs
Remote
New York, United States (UTC-5)
Network traffic data is a firehose — 4 billion flow records per day across our client deployments. Somewhere in that torrent are the 200 flows that re...
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Posted 5 months ago
Applications closedVelmox Data
Remote
Chicago, United States (UTC-6)
Feature engineering is the unglamorous part of ML that separates good models from great ones. We know this because we've seen it across 30+ client eng...
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Posted 5 months ago
Applications closedUnvix Works
Remote
Chicago, United States (UTC-6)
Batch ML is yesterday's problem. Our clients need predictions that update as data arrives — fraud scores that reflect the transaction happening right...
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Posted 5 months ago
Applications closedVelmox Data
Remote
New York, United States (UTC-5)
Feature engineering is where most ML projects succeed or fail, and most teams do it badly. Features get copy-pasted between notebooks, computed differ...
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Posted 5 months ago
Applications closedWavion Intelligence
Remote
New York, United States (UTC-5)
Is "J.P. Morgan Chase & Co." the same entity as "JPMorgan" and "Chase Bank"? Obviously yes — to a human. To a database, they're three different string...
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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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