Databricks
Sr. Forward Deployed Engineer (FDE) - Public Sector
$182K–$250K
Alabama +24 · Remote · Senior · Full-time · Posted Aug 18, 2026
- Location
- Alabama
Chicago, Illinois
Columbus, Ohio
Connecticut
Florida
Indiana
Maryland
New Jersey
Remote - Arizona
Remote - California
Remote - Colorado
Remote - Georgia
Remote - Illinois
Remote - Massachusetts
Remote - Missouri
Remote - New York
Remote - North Carolina
Remote - Ohio
Remote - Pennsylvania
Remote - Texas
Remote - Virginia
Remote - Washington D.C.
San Diego, California
South Carolina
Remote - California - Experience
- 6+ years in data engineering, data platforms and analytics, or software engineering.
- Visa sponsorship
- The role requires an active Secret or Top Secret clearance.
About the job
Build and productionize data and AI solutions for federal government customers on the Databricks platform, leading architecture and end-to-end technical delivery.
What you'll do
- Design, build, and deploy production-grade data architectures, applications, ingestion pipelines, and ML/AI integrations.
- Advise and guide customers on architecture, implementation, and adoption; collaborate with stakeholders to deliver technical projects.
- Provide product feedback and contribute reusable accelerators, frameworks, and best practices.
What they ask for
- Active Secret or Top Secret clearance.
- 6+ years of experience in data engineering, data platforms and analytics, or software engineering.
- Fluency in Python, Scala, JavaScript/TypeScript, and modern frameworks; experience with Apache Spark distributed computing and Spark runtime internals.
- Working knowledge of at least two cloud ecosystems (AWS, Azure, GCP), expertise in one, and familiarity with CI/CD, MLOps, ML/AI models, and AI APIs.
Nice to have
- Expertise in MLOps, ML/AI models, and AI APIs.
- Databricks Certification.
Pay
$182,000 — $250,208 USD (base salary), Zones 1–4
Tools
Python, Scala, JavaScript/TypeScript, AWS, Azure, GCP, Apache Spark, CI/CD
AI focus
Build and deploy data and AI solutions, including ML/AI model integrations and applications; apply MLOps and AI APIs.
Model-written summary · the original posting is authoritative