The Mission:

RIPL is a leading non-profit tech-for-social impact organization. We help government solve some of society’s most pressing challenges using data, science, and scalable, sustainable technology. Our work has supported data-driven policy improvements in health care, education, social insurance, civic participation, workforce development, and criminal justice.

For example: in the early days of COVID-19, we partnered with Rhode Island to build a cloud-based Pandemic Unemployment Assistance system in just 10 days, making Rhode Island the first state in the nation to pay CARES act benefits to workers and families in need, and helping over 70,000 RI workers receive their unemployment benefits.

We are now expanding across the country — including Colorado, Hawai’i, New Jersey, and Washington — to use administrative data, ML/AI, and cloud technology solutions to help state and federal government connect millions Americans with in-demand careers and streamlined benefits.

The Role:

We need your data engineering expertise for innovative, data-driven ML/AI solutions that helps unemployed and displaced workers across the country discover new careers and recover from the COVID-19 pandemic!

This is an opportunity to work with and craft one-of-a-kind data sets from government administrative records to improve public policy at scale. You will join a dynamic and cross-functional team of technology experts, policy leaders, and academic scientists from top research universities who believe in the power of data to make government work smarter and better for those in need.

RIPL’s staff are located all over the country but stay connected with online chat, regular coffee hours and in-person time when travel is possible. As an organization we value quality over quantity, and believe our government partners deserve the best. We know that changing culture and systems takes hard work, and we’re committed to that work for the long term. 

The Ideal Candidate:

Our ideal Senior Data Engineer candidate has the following qualifications, experience, and skills:

• Either an advanced degree (e.g., M.S., Ph.D., M.B.A., J.D., M.D.) or equivalent work experience.
• At least 5 years work experience with organizing, cleaning, visualizing, and understanding big data.
• Strong data engineering skills as demonstrated by developing and launching big data pipelines and/or projects, and advancing within a company’s engineering ladder.
• Expertise with a programming or data analysis language (e.g., Python, R, Stata) and relational databases (e.g., SQL). Expertise with cloud computing, web technologies, and distributed systems (e.g., Spark) is a plus.
• A strong desire and commitment to use data and science to solve complex social problems at speed and at scale.
• Ability to work with minimal supervision as demonstrated by being a self-started, exceptionally organized and able to communicate project progress via online project and task management software (RIPL currently uses JIRA).
• Experience working in a cross-functional team and communicating strategy and project goals to non-technical stakeholders. Previous projects with government policy makers or academic scientists are a plus.

The Benefits:

• Competitive salary.
• Committed, mission-minded colleagues.
• A supportive, remote-first work environment.
• Subsidized health, dental, and vision insurance. 
• 401k with employer match up to 6%.
• Flexible PTO and vacation.