Software Engineer (Data)

Nava, a consultancy and public benefit corporation, is seeking a Data Engineer to help modernize government services. Since 2013, they've been trusted by federal, state, and local agencies to solve complex technology challenges. This role focuses on creating data architectures and pipelines for critical government programs, working alongside engineering, design, and product teams.

The position involves designing and implementing data models, improving pipelines, enhancing data security, and processing terabytes of critical data. You'll work directly with government stakeholders to modernize data architectures while providing subject matter expertise in data and architecture reviews. The role requires expertise in ETL pipelines, data modeling, and working with sensitive data.

As a Data Engineer at Nava, you'll have significant strategic impact on reimagining how government serves its people. The work involves using modern engineering practices and human-centered design to improve government digital services. You'll be working with technologies like Python, Java, SQL, and cloud platforms such as AWS to build robust data solutions.

The company offers comprehensive benefits including health coverage, flexible remote work, professional development opportunities, and a 401(k) match. The position is fully remote for candidates in eligible states, with a salary range of $120,600 - $135,900 annually. Nava provides a collaborative, supportive environment where team members can make meaningful impact on public good.

Key responsibilities include developing data engineering applications, implementing data pipelines for advanced analytics and AI/ML, and ensuring data delivery is optimal across multiple teams and systems. The ideal candidate should have 5+ years of experience, strong programming skills, and expertise in data architecture and engineering best practices. This role offers the unique opportunity to work on projects that directly improve the lives of millions of Americans while advancing your career in data engineering.