Drimva

Databricks

Forward Deployed Engineer (FDE) - Public Sector

$153K–$210K

United States +1 · Remote · Full-time · Posted Jul 23, 2026

Location
United States
Remote - Ohio
Experience
5+ years required; 7+ years preferred.
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 delivery in a customer-facing role.

What you'll do

  • Design, build, and deploy production data architectures, applications, ingestion systems, and ML/AI integrations.
  • Guide customer architecture, implementation, adoption, and technical project delivery.
  • Collaborate with customer and Databricks teams, resolve implementation issues, and contribute reusable assets and product feedback.

What they ask for

  • 5+ 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 one; deep Apache Spark distributed-computing experience and knowledge of Spark runtime internals.
  • Experience with production data architecture and applications, CI/CD, MLOps/ML/AI models and APIs, technical project delivery, and enterprise clients.

Nice to have

  • 7+ years in data engineering, data platforms and analytics, or software engineering.
  • Databricks Certification; expertise in MLOps, ML/AI models, and AI APIs.

Pay

$152,900 — $210,155 USD (Zone 1 base salary); $152,900 — $210,155 USD (Zone 2 base salary); $152,900 — $210,155 USD (Zone 3 base salary); $152,900 — $210,155 USD (Zone 4 base salary)

Tools

Python, Scala, JavaScript/TypeScript, AWS, Azure, GCP, Apache Spark, Databricks

AI focus

Integrate ML/AI models and AI APIs into production customer solutions; support customers’ data and AI initiatives.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 5, 2026 (UTC)