We are seeking an intellectually curious Sr. Data Analytics Developer in any of our locations who is passionate about using big data to answer research questions that influence decision making in U.S. health care policy. The ideal candidate would have excellent knowledge of Python, Databricks and Medicare data.will work in languages such as Python and SQL, or other data engineering or statistical programming languages. Individuals with an interest in confronting the challenges of working with large, complex data sets, an interest in data manipulation and analysis, and a desire to become a subject matter expert in health care data are strongly encouraged to apply. Responsibilities: Leading the development of scalable data pipelines and analysis systems involving large secondary data sources such as Medicare and Medicaid administrative claims data and survey data to effectively answer research questions about health care policy Providing creative and best practice solutions for data processing optimization, commonly on cloud computing platforms Ensuring data quality through all stages of data processing with rigorous quality control Iteratively informing requirements and specifications, which will include articulating findings and working with researchers to adjust specifications and code as interim results are found Mentoring junior developers to follow technical standards and best practices, and may lead small teams of 2-3 developers