Senior Data Engineering Fellow

Summary

Join the New Practice Lab as a Senior Fellow - Data Engineering and contribute to improving benefits outcomes for millions of Americans. This role focuses on strategizing and architecting data systems within complex public sector organizations, collaborating with partners to enhance public benefit delivery. You will be a key member of sprint teams, developing robust approaches to assessing and improving government data systems. The position involves leading data modeling conversations, advocating for best practices, and advising government partners on data architecture and infrastructure. This is a remote, full-time position with a competitive salary and benefits package.

Requirements

• Have at least 5 years experience and demonstrated success in: Serving on cross-functional teams and supporting a team culture that incorporates a wide variety of disciplines, such as policy (or other subject matter expertise), design, research, data science, engineering, and learning/evaluation
• Communicating with a wide variety of stakeholders at different zoom levels about data-related concepts
• Working across complex data systems and their associated organizational processes
• Architecting and supporting the creation and stewardship of complex data systems
• Developing and maintaining data pipelines, data models, and/or data standards
• Performing quantitative analysis, supporting formal studies, etc
• Contributing to or participating in quantitative research design

Responsibilities

• Serve as a key member of sprint teams during delivery and policy sprints, including identifying high-impact areas of work and ways that engineering should be incorporated in the scoping phase of engagements and identifying meaningful opportunities for impact for the New Practice Lab to support
• Develop the team’s robust approach to assessing and then improving the health of government data systems and software
• Help partners create and maintain robust data ecosystems during sprint engagements by analyzing existing systems and then making architecture and practice recommendations: Lead data modeling conversations with partners, incorporating data science, service design, policy, and product management expertise
• Help partners think about using data to model business events and decisions, not just collect numbers, and then collaboratively design the infrastructure to support those models
• Advocate for data and software engineering best practices, such as automated testing, continuous integration, and monitoring, as well as evolving best practices around ethical use of data in the public sector
• Advise the Lab’s government partners on suitable, scalable, and replicable data architecture and infrastructure, engineering models, as well as technical team structure, in both greenfield and brownfield contexts
• Work closely with the Lab’s Data and Strategic Impact Lead and our Data Engineering Lead to understand our government partners’ data systems and propose and execute methods for making unstructured or loosely structured data usable, particularly as it relates to enabling the team to measure and create strong feedback loops between policy, implementation, and human outcomes
• Participate in quantitative and qualitative research to better understand the populations served by the Lab’s work
• Identify and pursue opportunities to productize and disseminate findings from sprints, collaborating with other team members to translate insights from sprints into broader recommendations for action by policymakers and public sector agencies
• Represent the New Practice Lab in a variety of forums such as conferences and briefings
• Develop relationships and collaborations with other organizations and experts working on similar issues, and identifying potential projects for the New Practice Lab

Benefits

• Health care, dental, and vision coverage
• A generous retirement plan
• Paid time off
• Observation of all federal holidays
• An office-wide closure between Christmas and New Year’s Day
• Remote work