Senior Data Analytics Engineer

Wilcore believes that the best products are built when companies understand and value the things they are working on.

We value learning and growth and the ability to make a big impact at a small company.

We believe that we can make big changes happen

and improve the daily lives of millions of people by bringing quality software to the federal space. .

We are seeking a Senior Data Analytics Engineer with strong technical depth and an engineering mindset to support data-driven decision-making across our programs.

This role blends advanced analytics with data engineering fundamentals and will play a critical role in identifying, integrating, and transforming complex data sources—particularly within the VA healthcare and government data ecosystem.

The ideal candidate is highly curious, proactive, and comfortable working across the full data lifecycle: from locating and exploring raw data sources to building scalable datasets, dashboards, and analytical models that drive mission outcomes.

This position is contingent upon contract award.

Employment is dependent on Wilcore being awarded the associated federal contract.

Candidates selected for this role will be contacted regarding a start date once award is confirmed.

By applying, you acknowledge that this opportunity may not result in immediate employment and is subject to the outcome of the contract award process.

What you'll be doing:

• Designing, building, and maintaining analytical datasets to support reporting, forecasting, and data-driven decision-making.
• Creating interactive dashboards and visualizations using Power BI to communicate insights to technical and non-technical stakeholders.
• Writing and optimizing SQL queries to extract, transform, and manage large datasets across multiple data sources.
• Using Python for data processing, automation, and AI/analytics use cases
• Proactively exploring and identifying new data sources—particularly within VA and healthcare environments—to expand analytical capabilities
• Developing and maintaining data pipelines and workflows to integrate, transform, and model data for reporting and advanced analytics
• Partnering with Program Management, Engineering, and other business units to understand requirements and deliver accurate, actionable insights
• Ensuring data quality, integrity, documentation, and adherence to data governance best practices Using Python for data processing, automation, and AI/analytics use cases