Databricks
Sr. Forward Deployed Engineer - National Security
$182K–$250K
United States +1 · Remote · Senior · Full-time · Posted Aug 14, 2026
- Location
- United States
Remote - California - Experience
- 6+ years.
- Visa sponsorship
- U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information; candidates with an active Secret or higher clearance are strongly encouraged to apply.
About the job
Build and productionize data and AI solutions for federal customers on the Databricks platform, owning architecture and delivering end-to-end systems.
What you'll do
- Lead customer projects to design and deliver production-grade data, AI, and application systems.
- Guide customer architecture, implementation, and adoption; work directly with customer stakeholders.
- Collaborate across technical teams and contribute reusable assets, implementation feedback, and product input.
What they ask for
- 6+ years of experience 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 one; deep Apache Spark distributed-computing experience and knowledge of Spark runtime internals.
- Experience designing and deploying performant production data architectures and applications, plus 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); $182,000 — $250,208 USD (base salary); $182,000 — $250,208 USD (base salary); $182,000 — $250,208 USD (base salary)
Tools
Python, Scala, JavaScript/TypeScript, AWS, Azure, GCP, Apache Spark, CI/CD
AI focus
Integrate ML/AI models and AI APIs into production data architectures and applications; deliver customer data and AI solutions.
Model-written summary · the original posting is authoritative