Senior Data Engineer

Washington, DC

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Hatch IT

hatch I.T. is a tech recruiting partner for scaling startups and small businesses. We specialize in engineering, data, and product teams.

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hatch I.T. is partnering with Expression to find a Senior Data Engineer. See details below:
About The Role:Expression is seeking a Senior Data Engineer to support the continued growth of their Data Science Department. Reporting directly to Technical Lead, this role is responsible for designing and implementing high-impact data architecture and engineering solutions. The ideal candidate thrives in a highly technical, collaborative environment and excels at delivering measurable results under tight deadlines.
About the Company: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.

Responsibilities:

  • Lead the design, development, testing, and documentation of software code and data pipelines (batch and streaming) for data extraction, ingestion, transformation, cleaning, correlation, and analytics.
  • Architect, develop, and scale new data services/products, ensuring robust performance and operational efficiency.
  • Collaborate with cross-functional teams - including Program Managers, Subject Matter Experts, Architects, Engineers, and Data Scientists - to understand customer requirements, develop prototypes, and optimize existing data services/products.
  • Participate in research, case studies, and prototype development to explore and leverage cutting-edge technologies.

Required Qualifications:

  • 7+ years of experience bringing databases, data integration, and data analytics/ML technologies to production with a Bachelor’s degree in Computer Science/Data Science/Computer Engineering or relevant field, or 4+ years of experience with a PhD/MS.
  • Current Security+ certification (or must obtain within 30 days)
  • Mastery in developing software code in one or more programming languages (Python, JavaScript, Java, Matlab, etc.)
  • Expert knowledge in databases (SQL, NoSQL, Graph, etc.) and data architecture (Data Lake, Lakehouse)
  • Knowledgeable in machine learning/AI methodologies
  • Strong writing and oral communication skills to deliver design documents, technical reports, and presentations to a variety of audiences
  • Top Secret Clearance Required

Preferred Qualifications:

  • Experience with AWS solutions (Kubernetes, DataLakes, Open AI Services).
  • Experience with PostgreSQL, ElasticSearch, MongoDB, and graph databases.
  • Experience with GenAI enabled daily workflows (coding, testing, analytics).
  • Experience with one or more SQL-on-Hadoop technology (Spark SQL, Hive, Impala, Presto, etc.)
  • Experience with short-release cycles and the full software lifecycle
  • Experience with Agile development methodology (e.g., Scrum)
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Agile Architecture AWS Big Data Computer Science Data Analytics Data pipelines Elasticsearch Engineering Generative AI Hadoop Java JavaScript Kubernetes Machine Learning Matlab MongoDB NoSQL PhD Pipelines PostgreSQL Python Research Scrum Security Spark SQL Streaming Testing

Perks/benefits: Career development Startup environment

Region: North America
Country: United States

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