About the job
About Nava
Nava is a forward-thinking consultancy and public benefit corporation dedicated to simplifying and enhancing government services. Since our inception in 2015, we have partnered with federal, state, and local agencies to address complex technology modernization challenges that require meticulous attention to detail and innovative solutions.
As a client-oriented organization, we empower agencies with legacy systems, guiding them towards a future characterized by user-friendly experiences built on secure, dependable, and fault-tolerant cloud infrastructure. We operate on a time-billing model, providing our expertise and problem-solving skills to help our government partners enhance their digital products and services. Our mission is centered around people, from the citizens who benefit from government programs to the staff within those agencies. Through a commitment to human-centered design and modern engineering practices, we assist our partners in understanding user needs and achieving their goals more effectively. This focus allows everyone at Nava to engage in work that is meaningful, impactful, and closely aligned with the public good.
Position Summary
In this role, you will collaborate with government stakeholders and Nava’s engineering, design, and product teams to refine data architectures and pipelines for crucial public programs. Your responsibilities will include designing and implementing scalable data models and databases, enhancing pipeline performance and security, and developing systems that facilitate the storage, processing, and analysis of large-scale data. You will address the data requirements of various teams, systems, and products while optimizing the data architecture for our government partners.
What You’ll Do
- Collaborate with cross-functional project teams to gather business requirements and translate them into detailed technical specifications.
- Assist government partners in developing data engineering applications and pipelines to enable advanced analytics, AI/ML, and experimentation.
- Design, develop, test, automate, and deploy data engineering solutions on cloud platforms, such as AWS.
- Participate in software design and code reviews.
- Implement automated testing, monitoring, alerting, and CI/CD processes for production systems.
Required Skills
- A minimum of 8 years of experience in professional software engineering practices, utilizing methodologies such as Agile Software Development and Test Driven Development.