Research Data Engineer

Vibrent Health is seeking a Research Data Engineer to join their innovative digital health research team. This role represents a unique opportunity to bridge the gap between research methodology and engineering implementation in a remote-first organization committed to improving health outcomes at scale.

The position involves working with cutting-edge digital health technologies, including apps, wearable devices, and EHR integrations. You'll be responsible for transforming complex health data into research-ready datasets that enable meaningful insights. The role combines technical expertise in data engineering with an understanding of research protocols and healthcare outcomes.

As a Research Data Engineer, you'll design and optimize data models, build ETL pipelines using SQL and Python, and create visualization solutions that empower stakeholders. You'll work in a collaborative environment, partnering with research teams, engineers, and product managers to integrate research needs into the product roadmap.

The ideal candidate brings strong technical skills in data engineering, combined with a passion for advancing digital health research. You'll need expertise in SQL, Python, and cloud-based data warehousing, along with the ability to translate complex research requirements into practical data solutions.

Vibrent offers a competitive compensation package including an above-average 401k match and comprehensive benefits. The company's remote-first culture provides flexibility while maintaining strong collaborative relationships. You'll be part of a diverse team working with the latest tools and technologies, partnering with national leaders in healthcare, technology, and research to create solutions that will improve healthcare for current and future generations.