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обновлено 29 дней назад

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 Alabama, Virginia, and Washington, D.C.; travel to customer locations 20–25% of the time. The role requires an active Secret or Top Secret clearance.

Base salary: $182,000–$250,208 USD annually, depending on location and candidate factors.

Company

Databricks provides a unified Data and AI Platform used to build and scale data applications, analytics, and AI systems.

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 and deliver reference architectures, custom applications, data ingestion, and ML/AI model integrations.
  • Guide customers through architecture, implementation, evaluation, and adoption of Databricks solutions.
  • Collaborate with engineers, project managers, architects, customer support, and customer stakeholders from technical contributors to executives.
  • Create reusable accelerators, frameworks, and best practices while providing feedback that influences the product roadmap.

Requirements

  • Active Secret or Top Secret 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, including Spark runtime internals.
  • Experience with CI/CD, MLOps, ML/AI models and APIs, production data architectures, technical delivery, documentation, and enterprise stakeholders.

Nice to have

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

Culture & Benefits

  • Hands-on, customer-facing work focused on measurable technical and business outcomes.
  • Cross-functional collaboration with engineering, product, developer relations, project management, and customer support.
  • Comprehensive employee benefits and region-specific perks.
  • Annual performance bonus and equity may be included in the total compensation package.

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