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Remote Databricks Jobs

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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Databricks Engineer Spark Data Engineer Delta Lake Architect ML Platform Engineer Lakehouse Developer

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Posted 3 weeks ago

AI Product Engineer

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Databricks
senior
Full-time
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$152K – $209K / year
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Databricks
senior
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$219K – $301K / year
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Databricks
senior
Full-time
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$182K – $250K / year
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Databricks
senior
Full-time
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$182K – $250K / year
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Role guide

What to expect in remote Databricks jobs

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 you'll work on

  • Build scalable Spark pipelines that process terabytes of ML training data
  • Design and maintain Delta Lake tables for reliable data versioning and time travel
  • Implement MLflow experiment tracking and model registry on Databricks
  • Migrate legacy Hadoop or data warehouse workloads to the Databricks Lakehouse

What companies look for

  • Databricks workspace administration and cluster optimisation
  • Delta Lake design — partitioning, OPTIMIZE, Z-ordering, schema evolution
  • MLflow integration within Databricks for model lifecycle management

Frequently asked questions

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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