Senior Data Engineer

Navy Federal Credit UnionVienna, VA
$130,500 - $179,500

About The Position

The Senior Data Engineer is an experienced technical lead responsible for accelerating NFCU’s transition to AI-enabled data engineering by applying modern AI engineering, data engineering, and intelligent automation practices across the enterprise delivery lifecycle. This role will design and implement scalable data engineering patterns, reusable automation frameworks, and autonomous or human-guided AI agents that reduce manual effort, improve engineering productivity, strengthen delivery quality, and advance an AI-enabled data engineering SDLC across planning, architecture, design, development, testing, deployment, monitoring, and production support. The Senior Data Engineer will lead the practical adoption of Generative AI, Agentic AI, Retrieval-Augmented Generation, Lakehouse and Medallion architectural patterns. The role will automate repeatable engineering activities and establish secure, governed, and reusable AI-first engineering standards. It requires hands-on expertise with Microsoft Foundry, Azure AI services, Databricks Mosaic AI, LangChain, LangGraph, vector search technologies, agent orchestration frameworks, Apache Spark, Python, SQL, Databricks, and Microsoft Fabric to deliver reliable, observable, and production-ready data engineering and AI automation solutions.

Requirements

  • Experience with Microsoft Foundry
  • Experience with Azure AI services
  • Experience with Databricks Mosaic AI
  • Experience with LangChain
  • Experience with LangGraph
  • Experience with vector search technologies
  • Experience with agent orchestration frameworks
  • Experience with Apache Spark
  • Experience with Python
  • Experience with SQL
  • Experience with Databricks
  • Experience with Microsoft Fabric
  • Authorized to work in the United States without the need for current or future sponsorship.

Nice To Haves

  • Lead the practical adoption of Generative AI.
  • Lead the practical adoption of Agentic AI.
  • Lead the practical adoption of Retrieval-Augmented Generation.
  • Lead the practical adoption of Lakehouse architectural patterns.
  • Lead the practical adoption of Medallion architectural patterns.

Responsibilities

  • Design and implement scalable data engineering patterns.
  • Develop reusable automation frameworks.
  • Create autonomous or human-guided AI agents.
  • Automate repeatable engineering activities.
  • Establish secure, governed, and reusable AI-first engineering standards.

Benefits

  • Highly competitive pay
  • Generous benefits and perks
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