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U
UNCOMN
Data Engineer 2-3 (Associate/Mid-Level)
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Based on Virginia data
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What they do
A Data Engineer designs, builds and manages the information or big data infrastructure. Develops the architecture that helps analyze and process data in the way the organization needs it. Makes sure those systems are performing smoothly.
$111,628 / year median in Virginia
+6% projected growth
Job Description
At UN COMN , we don't just fix issues; we deliver secure solutions that power essential operations in both the public and private sectors. Our team tackles tough challenges—whether it's improving organizational systems, streamlining logistics, or making sense of complex data—all with one goal: helping our clients succeed so they can continue serving others. We've built a culture rooted in our Core Values , where innovation thrives, work-life balance is respected, and career growth is always encouraged. We're also proud to be recognized as a ' Top Workplace ,' and that's not just us talking; it's our employees. Now, we're looking for another Uncommon Genius to join our dynamic team. If you love solving puzzles, building new things, fixing what's broken, or pushing the boundaries of creativity, we encourage you to explore the details of this position below! UN COMN is seeking a Data Engineer 2-3 (Associate/Mid-Level) to: Design, build, and evolve scalable data pipelines that power analytics, reporting, and machine learning initiatives. Develop and manage ETL/ELT workflows to efficiently ingest, transform, and deliver high-quality data across platforms. Ensure data accuracy, consistency, and integrity through strong governance practices and validation frameworks. Architect and maintain robust data models, warehouses, and lakehouse environments to support growing data needs. Continuously optimize database and query performance to enable fast, reliable access to critical datasets. Implement partitioning, indexing, and other performance strategies to scale data systems effectively. Leverage cloud platforms and modern data technologies to build resilient, high-performing data infrastructure. Partner closely with data scientists, analysts, and engineers to translate business needs into reliable data solutions. Champion data security, privacy, and regulatory compliance across the data ecosystem. Establish and maintain data governance standards to ensure data quality, accessibility, and responsible use. Proactively monitor, troubleshoot, and strengthen the reliability of production data pipelines. Drive automation and workflow improvements to increase efficiency and reduce manual effort. Stay current with emerging data engineering tools, technologies, and industry best practices. This position description outlines the core duties for this role, but it is not all-inclusive. Responsibilities may shift based on contract requirements, mission needs, or organizational objectives. Requirements 3+ years of experience, including designing, developing, and automating ETL/ELT pipelines. Active DoD Secret clearance (or higher) Prior experience with BI tools, cloud platforms, and big data technologies, with proficiency in SQL, Python, and/or Scala. Familiarity with data modeling, warehousing, and lakehouse architectures, with knowledge of data optimization, governance, security, and compliance best practices. Excellent problem-solving, communication, and collaboration skills, with the ability to work cross-functionally. Must be comfortable working onsite full-time and traveling (up to 15% of the time), primarily to Scott AFB in O'Fallon, IL, and/or MacDill AFB in Tampa, FL. Preferred Bachelor's degree in a related field from an accredited college or university. Prior experience with the