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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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Full-time roles and fixed-scope freelance missions — matched to your AI skills.
Posted 5 months ago
We run a large Hadoop cluster that's expensive, slow to maintain, and blocking our data team. We want to migrate our batch processing workloads to Dat...
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Posted 6 months ago
We process 500 million events per day. Stack is Kafka + Spark on AWS, orchestrated via Airflow. It's held up, but end-to-end latency on our critical e...
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Posted 9 months ago
Three data engineers, five ETL tools, zero documentation. Every time someone asks "where does this metric come from" we get three different answers....
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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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