Senior Data Engineer, Healthcare Data

About Headwater Science Headwater Science (formerly NoviSci) is a data science and methods company specializing in principled, reproducible evidence generation for complex clinical and regulatory challenges. With deep expertise in comparative effectiveness, causal inference, healthcare utilization and expenditure research, and regulatory-grade analytical software, Headwater Science provides the methodological foundation that delivers reproducible analytic pipelines, novel epidemiologic and statistical methods, and regulatory-grade software validated to hold up under the most demanding scrutiny. The company works with life sciences organizations as a long-term scientific partner. Headwater Science is a Highlander Health company. Learn more at headwaterscience.com. The Role We are seeking a talented Senior Data Engineer to design, build, and maintain the data pipelines that power our real-world evidence research. Our studies depend on turning large, messy, vendored healthcare data into analytic-ready datasets that epidemiologists and statisticians can trust. You’ll help us construct these datasets alongside our statistical programming team, and you’ll also help shape the processes, systems, and infrastructure that produce regulatory-grade data. That includes collaborating with our software development team to define the tools that need to exist, the workflows those tools support, and the requirements they have to meet. It also includes serving as the technical point of contact for our administrative claims and EHR data vendors and becoming our in-house expert on each source’s structure, conventions, and limitations. This is a hands-on role. Much of your time will be spent inside real studies with tight deadlines, and the standards and tooling you build will grow out of that work rather than in isolation. Today the work runs on R, SQL, and AWS, and while AWS is here to stay, you'll have a voice in how the rest of the stack evolves to meet the needs of our studies. We’re a small team with broad scope, and as our data engineering work expands, there’s room for this role to grow with it. How We Work Inside a study, you’ll be one of several people working closely with the epidemiology team to ensure that the analytic-ready dataset faithfully follows the study protocol, and you’ll report back on what you learn about the data along the way. Those datasets are consumed by our statisticians, so you’ll also be in close contact with them around data deliveries: keeping them informed on timelines, documenting what’s in each delivery, and answering questions as the analysis takes shape. Across studies, you’ll work with the statistical programmers who use the systems and procedures you help shape. You’ll support them day to day as they build datasets on active projects, and you’ll also help refine the procedural requirements they follow: how data are accessed, how pipelines are structured and documented, and what a finished dataset has to…