Lead Data Engineer

• 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 million US residents who have “stopped out” and support them until graduation, through our patented technology‑enabled service. To date, we have re‑enrolled over 57,000 students for our university partners. As of July 2025, ReUp Education partners with 140 active schools and a total of 1.78 million learners.
  
  To date, ReUp Education has helped 7,960 learners graduate. Today we build regional marketplaces to connect the supply of educational opportunities with the demand for skilled and credentialed workforce professionals.

About the role

• ReUp Education is looking for a Lead Data Engineer to help us empower more adult learners and educational institutions by designing, building and maintaining scalable data pipelines and warehouses to support our products and services.
• This is both a technical delivery and leadership role, with roughly a 70% focus on hands‑on engineering, and 30% focus on driving engineering excellence and mentoring other engineers (not people management). As a senior member of the team, you’ll lead complex initiatives and collaborate cross‑functionally to ensure quality data is accessible across the organization.
• This is an opportunity to shape the evolution of a modern data ecosystem in a mission‑driven organization.

What you’ll do

• Lead complex, company‑wide projects from start to finish, collecting business requirements, translating them into a scalable solution, and guiding other engineers to build it.
• Shape the long‑term technical roadmap for ReUp’s data platform, and serve as a senior technical resource across projects.
• Provide technical mentorship to other engineers through skill development, design guidance, and code reviews.
• Develop and maintain scalable, high‑performance data pipelines to ingest and process large volumes of student and institutional data.
• Design and optimize data models in data warehouses to power business intelligence products, ML models, cloud‑based web applications, and marketing and coaching services.
• Implement validation, testing, and monitoring frameworks to ensure data quality.
• Proactively improve the performance, reliability, automation and cost efficiency of data workflows and platforms.
• Proactively monitor and troubleshoot production data systems to ensure reliability and uptime.
• Define and implement data engineering standards and best practices to improve data quality, governance, and performance.
• Create and maintain clear documentation for data pipelines, models, and processes.

Qualifications

• 6+ years of data engineering experience.
• Proven ability to lead projects and work cross‑functionally.
• Demonstrated technical leadership and mentoring experience.
• Strong proficiency in SQL and Python.
• Experience working with cloud data platforms such as AWS, and data warehouses such as Redshift or Snowflake.
• Experience working with orchestration tools such as Airflow.
• Solid understanding of relational and non‑relational database design.
• Experience with Git and CI/CD best practices.
• Bachelor’s degree in Computer Science, Engineering, Data Science, Mathematics, or a related technical discipline.
• Strong communication, collaboration, and problem solving skills.
• Nice to have:
• Cloud data certifications.
• Experience working with ELT tools such as dbt.
• Experience syncing data to and from Salesforce, Iterable, and/or cloud‑based web applications.
• Experience developing a curated data layer for data visualization tools such as Tableau.
• Experience developing, deploying, and maintaining AI/ML models in production.
• Experience with Agile engineering practices.
• Experience working in higher education, education technology, and/or a startup.
• Medical, dental, and vision insurance for employees
• We pay 100% of the employee’s premium and 50% of any dependents’ premiums
• Contribute up to $1000 to employee HSA/$2000 to employee + dependent HSA
• FSA available
• Company paid short‑term disability, long‑term disability, and life insurance for employee
• Flexible time off and remote work opportunity
• Up to 80 hours of dedicated sick time annually to support your…