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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
Berlin, Germany (UTC+1)
Data teams waste 30% of their time just finding the right dataset. Our data catalog uses AI to automatically profile, tag, and document every table, c...
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Posted 5 months ago
Applications closedMendra Intelligence
Remote
New York, United States (UTC-5)
Banks file 4 million Suspicious Activity Reports per year in the US alone, and 95% of them are false positives generated by rule-based transaction mon...
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Posted 5 months ago
Applications closedPaleon Data
Remote
London, United Kingdom (UTC+0)
Weather forecasts predict rain. Our models predict what rain does — to crop yields, energy demand, supply chain routes, and insurance claim volumes. W...
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Posted 5 months ago
Applications closedInfera Cloud
Remote
Los Angeles, United States (UTC-8)
Every ML model is only as good as its data, and ours processes 800GB daily from IoT sensors deployed across 200 wind farms. Turbine vibration data, we...
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Posted 5 months ago
Applications closedIntevo AI
Remote
Los Angeles, United States (UTC-8)
The discovery feed is the single most important surface in our marketplace — it drives 48% of all buyer-seller connections and directly influences $34...
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Posted 5 months ago
Applications closedDravix Studio
Remote
Los Angeles, United States (UTC-8)
Our audio platform has 8 million tracks and 400,000 daily active listeners. The recommendation engine behind the "Discover" tab drives 35% of all list...
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Posted 5 months ago
Applications closedGravex Cloud
Remote
Berlin, Germany (UTC+1)
Feature engineering is where data scientists spend 60% of their time, and most of that time is wasted rebuilding features someone else already created...
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Posted 5 months ago
Applications closedHalvex Data
Remote
Chicago, United States (UTC-6)
Predicting demand for 45,000 SKUs across 1,200 store locations with 94% accuracy sounds like an academic exercise. For our retail clients, it's the di...
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Posted 5 months ago
Applications closedBolvex Solutions
Remote
Los Angeles, United States (UTC-8)
Genomic datasets are massive, messy, and growing exponentially. A single whole-genome sequencing run produces 200GB of raw data, and we process 400 ru...
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Posted 5 months ago
Applications closedMivex Cloud
Remote
New York, United States (UTC-5)
GPU spot instances cost 70% less than on-demand — but they can be reclaimed with 2 minutes notice. For ML training jobs that run for hours, a sudden i...
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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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