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Browse vetted remote Databricks positions — Spark data engineering, Delta Lake platform development, and ML lifecycle management at data-driven AI companies.
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Spark, Databricks, and a growing fleet-routing platform are the core of what we run in production today. If you've ever tracked a shipment sitting at...
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As a fully async team spread across nine time zones, we believe great engineers can build meaningful things without daily standups getting in the way....
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Our mission is to keep fresh produce moving through the supply chain without spoiling before it reaches a shelf. This role is a six-month engagement f...
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We already track pricing signals across hundreds of competitor SKUs for our enterprise SaaS clients. What's missing is turning that raw feed into a si...
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We're building the next generation of AI-powered demand and assortment planning tools for grocery and retail chains, and need a data engineer who can...
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A query that takes 4 minutes to run costs 10x more than one that takes 24 seconds. At petabyte scale across a shared data lakehouse serving 800 data s...
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We operate a decentralised exchange protocol. $1.4 billion in total value locked, around $200 million in daily trading volume on busy days. We are inc...
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Fixed-scope engagement. We have a data pipeline that feeds our ML training jobs. It was built eighteen months ago by a contractor who is no longer ava...
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Posted 5 months ago
United States — Chicago (UTC-5)
We are migrating our entire ML data processing layer from a legacy Hadoop and Hive environment to a modern Spark-on-AWS architecture. The existing pip...
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Our analytics stack is a combination of good decisions made three years ago, legacy choices that made sense at the time, and a few things we built und...
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Role guide
Databricks has become the default platform for large-scale data and ML engineering. Remote Databricks jobs involve building Spark pipelines, designing Delta Lake architectures, and using MLflow for experiment tracking and model deployment. These roles combine data engineering depth with ML platform knowledge.
What remote Databricks jobs are available on RemoteAI?
Primarily data engineering and ML platform roles. Most require Spark proficiency alongside Databricks-specific knowledge — Delta Lake, Databricks Jobs, and MLflow integration.
Is Databricks certification required for remote jobs?
Helpful but not required. Practical experience with production Databricks environments — cluster management, Delta Lake design, pipeline debugging — is weighted more heavily than certification in most job listings.
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