Senior Data Engineer

hatch I.T. is partnering with Expression to find a Database Engineer. See details below:

As a Senior Data Engineer at Expression, you will help design, build, and improve the data platform that enforces quality and governance to provide timely, trustworthy analysis across enterprise systems. The ideal candidate thrives in a highly technical, collaborative environment and has a bias for action. They are comfortable taking ownership, elevating their team through clear communication and solid technical judgment, and consistently improve how we build and operate our data systems.

Founded in 1997 and headquartered in Washington DC, Expression provides data fusion, data analytics, software engineering, information technology, and electromagnetic spectrum management solutions to the U.S. Department of Defense, Department of State, and national security community. Expression’s “Perpetual Innovation” culture focuses on creating immediate and sustainable value for their clients via agile delivery of tailored solutions built through constant engagement with their clients.

Expression was ranked #1 on the Washington Technology 2018's Fast 50 list of fastest growing small business Government contractors and a Top 20 Big Data Solutions Provider by CIO Review.

• Build end-to-end data solutions that include ingest, logging, validation, cleaning, transformation, and security.
• Lead the design, development, and delivery of scalable data pipelines and ETL processes.
• Design and evolve robust data models and storage patterns that support analytics and efficiency use‑cases.
• Treat data as a product: define quality standards and checks, SLAs, and observability to ensure data is accurate and trustworthy.
• Maintain client‑facing relationships and lead product demonstrations.
• Contribute to the evolution of Expression’s VOR Data Platform; including tooling, standards, and automation.
• Participate in research, case studies, and prototype development to explore and leverage cutting‑edge technologies, including agentic AI solutions.

• Combined 10+ years of experience and education in Computer Science, Information Systems, Software Engineering, Data Science, or related field. Advanced degree in a related field is a plus.
• Experience building and maintaining ETL/ELT data pipelines, big data platforms or data lake architectures, and Data Visualization/BI tools like Tableau, Power
  
  BI, or Superset.
• Experience with query performance optimization and tuning at scale.
• Knowledgeable in Generative AI tools and technologies.
• Strong written and oral communication skills to deliver design documents, technical reports, and presentations to a variety of technical and non‑technical audiences.
• Secret or Top Secret Clearance Required

• Experience with cloud‑native data solutions leveraging AWS or Azure.
• Experience with Postgre
  
  SQL, Elastic Search, Mongo
  
  DB, and graph databases.
• Experience with GenAI enabled daily workflows (coding, testing, analytics).
• Experience leading agile teams, enabling short release cycles and continuous delivery

$180,000 - $190,000 a year