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Senior Forward Deployed Engineer (FDE) (Public Sector)

182 000 - 250 208$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Forward Deployed Engineer (FDE) (Public Sector) (Data & AI): Building and productionizing end-to-end data, AI, and application solutions for federal government customers with an accent on secure architecture, distributed computing, and customer-facing delivery. Focus on designing scalable production systems, integrating data pipelines with ML/AI models and user-facing applications, and guiding complex enterprise implementations.

Location: Hybrid role associated with Virginia and Washington, D.C.; requires travel to customer locations 20–25% of the time.

Salary: $182,000–$250,208 USD annually, with potential annual performance bonus, equity, and benefits.

Company

Databricks builds a unified data and AI platform used by organizations worldwide to develop analytics, data applications, and AI solutions.

What you will do

  • Build and productionize data, AI, and application solutions for federal government customers.
  • Own architecture and lead design decisions for secure, scalable end-to-end systems.
  • Design reference architectures, custom applications, data ingestion pipelines, and ML/AI model integrations.
  • Guide customers through architecture, implementation, evaluation, and adoption of Databricks solutions.
  • Collaborate with engineers, project managers, architects, customer teams, and support to deliver technical components and resolve issues.
  • Create reusable accelerators, frameworks, and best practices that scale across customer accounts.

Requirements

  • Active Secret or Top Secret security clearance required.
  • 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 among AWS, Azure, and GCP, with expertise in one.
  • Deep experience with distributed computing using Apache Spark and knowledge of Spark runtime internals.
  • Experience with CI/CD, MLOps, ML/AI models, AI APIs, production data architectures, technical project delivery, documentation, and enterprise stakeholders.

Nice to have

  • Expertise in MLOps, ML/AI models, and AI APIs.
  • Databricks certification.

Culture & Benefits

  • Customer-facing role focused on measurable technical and business outcomes.
  • Cross-functional collaboration with engineering, product, developer relations, and customer support.
  • Opportunity to influence product priorities through customer and implementation feedback.
  • Benefits package with potential performance bonus and equity eligibility.
  • Inclusive workplace committed to equal employment opportunity.

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