> Markdown version of [/jobs/ext/3772389-senior-full-stack-engineer-databricks-focus](https://www.wearedevelopers.com/jobs/ext/3772389-senior-full-stack-engineer-databricks-focus). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior Full Stack Engineer - Databricks Focus

- **Company:** Databricks
- **Location:** Washington, DC, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Microsoft Azure, Cloud Computing, Cyber Security, Continuous Integration, Information Engineering, Data Governance, Data Integration, DevOps, Identity and Access Management, Python (Programming Language), Cloud Services, SQL Databases, Enterprise Data Management, Scripting, Cloud Platform System, Data Ingestion, Apache Spark, Software Troubleshooting, Infrastructure as Code (IaC), Data Lakes, Deployment Automation, Terraform, Devsecops, Databricks
- **Published:** October 16, 2026
- **Apply:** https://www.dice.com/job-detail/4fdbd82a-73fa-4607-836d-05a116cd6606

## About the Role

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.

## Description

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.