Analytics engineer

What You'll Be Doing

Dashboards, Applications & BI Development

Design, build, and maintain interactive dashboards and analytical applications for senior government stakeholders. Translate vague or high-level requirements from government leadership into clear, well-scoped deliverables - and drive them to completion. Create compelling data visualizations that surface insights from complex datasets in a clear and actionable way. Own the end-to-end delivery of BI products: from requirement gathering and wireframing through build, QA, and handoff. Partner with stakeholders to iterate on solutions as requirements evolve, using strong communication skills to align expectations.

Data Engineering & Pipeline Support

Build and maintain data pipelines in Databricks and Palantir Foundry to power dashboards and analytics products. Work with large, complex datasets and transform them into clean, reliable data models ready for reporting and visualization. Design and implement data integration solutions from various source systems as needed to support delivery. Ensure data quality, performance, and reliability across pipelines and downstream analytics outputs. Collaborate with team members using Git for version control and code collaboration.

Stakeholder Engagement & Communication

Engage directly with senior government officials to understand strategic goals, even when formal requirements are undefined or incomplete. Facilitate working sessions to extract requirements, validate designs, and gather feedback from non-technical leadership. Document solutions clearly and explain technical concepts and tradeoffs to non-technical audiences at all levels. Act as a trusted technical advisor - proactively flagging issues, proposing solutions, and communicating status with transparency.

Required Skills & Experience

• Active DOD (Department of Defense) Secret Clearance
• 5-7 years of experience as a Data Engineer, Analytics Engineer, or BI Developer
• Demonstrated experience building dashboards and analytical applications (e.g., in Palantir Foundry, Tableau, or similar platforms)
• Strong experience with Databricks and Palantir
• Solid SQL skills and hands-on experience with Python and PySpark
• Experience working in cloud environments (Azure, AWS, or GCP)
• Proven ability to work directly with senior or executive stakeholders and turn ambiguous requirements into deliverables
• Strong communication skills - both written and verbal - with the ability to present technical findings clearly
• Self-starter mindset with the ability to take ownership and drive work forward independently