Project-specific Responsibilities Extracting and linking data from multiple DBMS sources and creating analytic limited datasets for use by analysts. Scheduled data refreshes, quality control, and infrastructure ETL management including addressing data follow-up questions, issues, enhancements, etc. Managing data processing environment – e.g., folder design, disk space, backups, archiving Maintaining secure data environment that utilizes PII/encryption in infrastructure processes Proactively assesses opportunities to provide quality improvement and efficiency in processes Create/modify/execute/programs/files (typically SAS/SQL, scripting, Unix/Linux) Validate programs/processes (typically SAS/SQL) to ensure accuracy and consistency Support linkage to PHI as needed (e.g., support for medical record retrieval, National Death Index search, linking of moms to babies for pregnancy related work) Collaborate, support, and share data infrastructure responsibilities/tasks with other data developer colleague(s) Provide analytic advice to research team members; investigate issues with the data and reports findings Work with researchers and analysts to develop technical specifications documents to investigate data or implement ETL updates Create and maintain technical documentation, including data access requirements, infrastructure design, and ETL process steps and supporting quality control Assess time needed to accomplish tasks; shifts priorities/projects as needed Other Responsibilities May assist in the preparation of bids for new work, including completing (or overseeing the completion of) feasibility requests Serve as technical resource to other analysts. Present new programs/techniques May assist with interviewing, onboarding, training, or other activities that support the analyst team