Data Engineer II

About the role ReUp Education is looking for a Data Engineer II to help us empower more adult learners and educational institutions by scaling and optimizing our data platform. In this role, you’ll design, build and maintain robust data pipelines and warehouses to support business intelligence products, ML models, cloud-based web applications, and marketing and coaching services. You’ll collaborate with Data Scientists, Product Managers, and other cross-functional stakeholders to ensure quality data is accessible across the organization. This is an opportunity to build a modern data ecosystem in a mission-driven organization. What you’ll do 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. Improve the performance, reliability and automation of data workflows. Monitor and troubleshoot production data systems to ensure reliability and uptime. Translate business requirements into scalable, maintainable data solutions. Create and maintain clear documentation for data pipelines, models, and processes. Qualifications 2+ years of data engineering 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: Familiarity with BI tools such as Tableau or CRM platforms such as Salesforce. Exposure to supporting predictive analytics or machine learning workflows. Experience with Agile engineering practices. Experience working in higher education, education technology, and/or a startup. Benefits & Compensation Compensation : Base Salary between $115,00-$125,000 commensurate with experience Medical, dental, and vision insurance for employees We pay 100% of the employee’s premium and 50% of any dependents’ premiums Contribute up to $1,000 to employee HSA/$2,000 to employee + dependent HSA PPO Buy-up plan available 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 well-being and work-life balance 15 paid holidays per year (including Juneteenth and the last week of the calendar year) Company wellness days (2 per year) Day of Service (Paid day for volunteering) 401(k) plan Paid parental leave (12 weeks primary parental leave, 6 weeks secondary parental leave) A diverse team that fosters a high level of collaboration despite being highly distributed We provide your choice of a Mac or PC laptop Location Hybrid : This hybrid role can combine the best of both worlds: in-person collaboration in our Austin, TX office for 2-3 days per week, and the flexibility of remote work. 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. We are unable to offer visa sponsorship or work authorization transfers for this position. Applicants must have the legal right to work in the United States without the need for employer sponsorship. #J-18808-Ljbffr Current openings