At ReUp Education, we partner with universities and colleges to re-enroll students who have stropped-out and support them throughout their return school, ensuring successful student outcomes. Over the past two years we've helped over 14,000 students re-enroll and 2,500 to graduate using a proprietary combination of data, technology, and people-centered service design.
Each year, millions of students stop-out of college or university – some 36 million Americans in the last two decades. The reasons students stop out are multi-dimensional, with the primary barriers to completion being financial, work, family obligations, health-related issues, and motivation. Many of these “Forgotten Students” leave college with mountains of debt (over $27 billion annually) and without the earning power of a diploma. The social, economic, and human potential loss is enormous.
While this completion crisis is alarming, ReUp has the solution. We are proud to work with some of the most diverse universities and colleges in the country - tackling this problem student by student.
55 2nd St.
San Francisco, CA 94105
San Francisco, CA
We are looking for an experienced Data Engineer to help manage, utilize, and build upon ReUp’s data infrastructure. This role will be a key member of the team creating and delivering against a data engineering strategy that will support ReUp’s tech-enabled service as we continue to grow. If you are a curious engineer strong in Python, SQL, AWS, and business acumen, then we want to hear from you!
As a Data Engineer, you’ll maintain critical data architecture, process large volumes of student data, and work collaboratively to create useful reports, dashboards, and data products that support internal teams and university partners. Data is at the heart of everything we do, so we’re always looking to improve these systems to better address a variety of open-ended questions related to student success. Along the way, you’ll help improve inefficiencies, ensure we follow best practices around data, and work on interesting data science projects in areas like predictive analytics and natural language processing. Through this critical role in our data operations, you will better equip us to support our students all the way to graduation.
Founded in 2015, ReUp Education is the only organization that focuses exclusively on helping colleges and universities engage and re-enroll the more than 40% of US students who have “stopped out” and support them until graduation, through our technology-enabled service. To date, we have re-enrolled over 15,000 students and recaptured over $44 million in tuition for our university partners.
(Research shows that women and people from underrepresented groups only apply to jobs if they meet all of the qualifications. However, no one ever meets 100% of the qualifications. ReUp encourages you to break that statistic and to apply. We look forward to your application.)
ReUp is a distributed company. This role is 100% remote.
TEAMWORK * RESULTS * CONSTANT LEARNING * AGENCY * DIVERSITY, INCLUSION & EQUITY * JOY
ReUp employees share a passion for improving outcomes for stopout students. We support students to get Results as they embark on finishing what they started. We believe in the power of human potential and that supporting an individual’s Agency acts as a catalyst for positive change and resiliency. We support Diversity, Inclusion & Equity, for both the students we work with and in our hiring practices. We value Teamwork and strive to create a safe and supportive environment where trust, communication, creativity, and humility are valued as highly as technical skills. We tackle hard problems with curiosity and take action towards continuous improvement and Constant Learning. Approaching our work with open hearts, open minds, and seeking collective success creates Joy. If that sounds like your dream work environment, we look forward to hearing from you.
ReUp Education is an equal opportunity employer. Our company values diversity and believes diverse teams make innovation possible. We encourage all qualified applicants from any race, color, religion, sex, gender identity, sexual orientation, national origin, disability status, protected veteran status, or other characteristics to apply.