Databricks Engineer
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Role details
Tech stack
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Job description
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Build and maintain production data pipelines using Databricks, PySpark, Spark SQL, and Delta Lake.
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Implement and manage medallion architecture (bronze/silver/gold).
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Administer Databricks workspaces: cluster provisioning, job scheduling, access controls, Unity Catalog, and notebook management.
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Manage AWS cloud infrastructure (S3, Lambda, IAM, Aurora, Glue).
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Provision environments using Terraform IaC.
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Implement data quality controls: validation rules, completeness checks, anomaly detection, and lineage tracking.
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Support DevSecOps CI/CD pipelines with embedded security gates.
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Support FISMA/FedRAMP compliance, ATO reassessment, and POA&M resolution.
Requirements
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8+ years data engineering / platform administration experience.
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4+ years hands-on Databricks experience.
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Production experience with PySpark, Spark SQL, and Delta Lake.
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AWS cloud experience (S3, IAM, Lambda, Glue, Aurora).
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Terraform or equivalent IaC experience.
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CI/CD pipeline experience (Jenkins, GitLab CI, or equivalent).
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Python and SQL proficiency.
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Agile/Scrum experience.
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U.S. Citizenship.
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Bachelor’’s degree in CS, IT, Data Science, or related (or equivalent experience).
Preferred
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Databricks Certified Data Engineer (Associate or Professional).
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AWS Solutions Architect or Data Analytics certification.
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Unity Catalog and Delta Live Tables experience.
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Federal government contract experience.
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FISMA/FedRAMP environment experience.
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AI/ML pipeline support (MLflow, model registry).
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Active security clearance.
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