We are looking for an experienced Senior Full Stack Engineer with strong hands-on Databricks deployment and operations experience to support HUD’s enterprise data platform modernization initiatives., * Deploy, configure, and maintain Databricks workspaces and cloud infrastructure.

• Manage compute, storage, Unity Catalog, identity, and access controls.
• Automate deployments using Infrastructure as Code (IaC), scripting, APIs, and CI/CD pipelines.
• Integrate Databricks with enterprise data sources, cloud services, and security tools.
• Support data engineering workloads, ingestion pipelines, and Databricks applications.
• Troubleshoot platform, performance, integration, and access issues.
• Collaborate with cloud, data, cybersecurity, and DevSecOps teams.
• Develop technical documentation and deployment procedures., * Mostly remote with occasional onsite meetings; DMV-area candidates preferred.
• Two interview rounds with ATA.
• Six-month contract-to-hire opportunity.

10+ years of relevant cloud, data engineering, platform engineering, or DevOps experience. Hands-on Databricks deployment and administration. AWS, Azure, or another major cloud platform. Infrastructure as Code (Terraform or equivalent) and CI/CD. Python, SQL, and scripting skills. Knowledge of cloud networking, IAM, security, and data integration. Strong troubleshooting and communication skills., * Unity Catalog, Delta Lake, and Apache Spark.

• Enterprise data pipelines, data governance, and lakehouse architectures.
• Familiarity with NIST, FedRAMP, or RMF requirements.
• Federal government project experience.
• Databricks or cloud certifications.

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