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Job Description
Remote Status: On-Site
Job Id:
624
# of Openings:
1
UNCOMN is seeking a Data Engineer 1-2 (Junior, Associate) to:
Don’t meet every single requirement? We’re dedicated to building an uncommon, inclusive, and authentic workplace, so if you’re excited about this role but your experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or national origin.
Pay Range: $61,000 - $78,000 per year
At UNCOMN, 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!
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!
UNCOMN is seeking a Data Engineer 1-2 (Junior, Associate) to:
- Design, develop, and optimize scalable data pipelines and integrations using SQL, Python, Databricks, and cloud-based technologies.
- Build and maintain ETL/ELT workflows, data models, and data products supporting operational and analytical requirements.
- Develop and support solutions within Maven Smart Systems (Palantir Foundry), Advana, and Qlik to deliver actionable insights and reporting capabilities.
- Integrate and transform data from multiple structured and unstructured sources.
- Collaborate with engineers, analysts, and mission stakeholders to translate operational requirements into technical solutions.
- Monitor, troubleshoot, and improve data pipeline performance, reliability, and data quality.
- Implement data governance, security controls, testing, and documentation best practices.
- Support agile development activities and contribute to continuous improvement initiatives.
- Provide technical support for operational events, exercises, and mission-focused activities as needed.
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
- Active, fully adjudicated Secret clearance.
- 2+ years of experience in data engineering, analytics engineering, software development, data integration, or a related technical field.
- Experience developing data pipelines and workflows using SQL and Python.
- Experience with Databricks, Apache Spark, or similar large-scale data processing platforms.
- Strong understanding of relational databases, data modeling, data warehousing, and ETL/ELT processes.
- Strong troubleshooting, analytical, communication, and problem-solving skills.
- Ability to manage multiple priorities in a fast-paced, mission-focused environment.
- Must be comfortable and willing to satisfy applicable Department of Defense (DoD) Cyber Workforce Framework (DCWF) and DoD 8140 certification and qualification requirements associated with this position.
Preferred
- Bachelor's degree in Computer Science, Data Science, Engineering, Information Systems, Mathematics, or a related field (or equivalent experience).
- Experience supporting DoD, federal, or mission-critical operational environments.
- Hands-on experience with modern data platforms and tools such as Advana, Palantir Foundry, Databricks, Apache Spark/PySpark, Delta Lake, Qlik, Git, APIs, and cloud environments (AWS, Azure, GovCloud).
- Experience developing data pipelines, analytics solutions, operational dashboards, executive reporting, and decision-support tools.
- Familiarity with DevSecOps, CI/CD pipelines, Agile methodologies, data governance, and machine learning or predictive analytics concepts.
- Strong stakeholder engagement, requirements gathering, technical documentation, collaboration, and problem-solving skills.
Why UNCOMN?
- Instant Flexible PTO: Enjoy flexible paid time off starting your very first day with us!
- Generous Holidays: Benefit from 7 paid holidays and up to 3 floating holidays annually.
- Immediate Health Coverage: Get access to comprehensive health benefits from day one.
- 401K Safe Harbor Match: Secure your future with our top-tier 401K matching program.
- Performance Bonus: Stand out and you could earn an annual performance bonus.
- Growth Opportunities: Advance your career with our training and education assistance programs.
- Free Employee Assistance Program (EAP): Access complimentary support services for you and your family.
Note: Benefits apply to full-time employees only.
Don’t meet every single requirement? We’re dedicated to building an uncommon, inclusive, and authentic workplace, so if you’re excited about this role but your experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or national origin.
Pay Range: $61,000 - $78,000 per year
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