Databricks
Sr. Forward Deployed Engineer (FDE) - Public Sector/National Security
$182K–$250K
Washington, D.C. +1 · Remote · Senior · Full-time · Posted Sep 8, 2026
- Location
- Washington, D.C.
Remote - California - Experience
- 6+ years required in one of the listed areas; 10+ years in enterprise data transformation and warehousing is preferred.
- Visa sponsorship
- U.S. citizenship and eligibility for a U.S. government secret clearance are required for access to classified information; active Secret or higher clearance holders are strongly encouraged to apply.
About the job
Build and productionize data and AI solutions for federal government customers on the Databricks platform, owning architecture and end-to-end technical delivery.
What you'll do
- Design and deliver production-grade data, AI, and application systems; lead architecture and implementation decisions.
- Advise and embed with customer teams to guide adoption, deliver technical components, and address customer needs.
- Collaborate across Databricks and customer teams, and contribute reusable assets and product feedback.
What they ask for
- 6+ years in data engineering, data platforms and analytics, or software engineering.
- Fluency in Python, Scala, JavaScript/TypeScript, and modern frameworks.
- Working knowledge of at least two cloud ecosystems (AWS, Azure, GCP), with expertise in at least one; deep distributed-computing experience with PySpark and Apache Spark™.
- Experience with CI/CD, MLOps, ML/AI models and AI APIs, production data architectures and applications, technical project delivery, and enterprise clients.
Nice to have
- 10+ years in enterprise data transformation and warehousing within distributed data systems.
- Databricks-specific certification.
Pay
$182,000 — $250,208 USD base salary (Zones 1–4)
Tools
Python, Scala, JavaScript/TypeScript, AWS, Azure, GCP, PySpark, Apache Spark™
AI focus
Integrate ML/AI models and AI APIs into production data architectures and applications; support customer data and AI projects.
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