Applications Developer with R programming(Modernization)

The Industrial Output section within the Federal Reserve Board's Division of Research and Statistics seeks a Senior Developer to lead a critical technical modernization of the monthly G.17 statistical release (Industrial Production and Capacity Utilization). You will help transition our core data infrastructure from legacy FAME database software to a modern stack (Python, R, SQL, and DuckDB) while ensuring seamless monthly production. Interview: Final round will be in-person, Modernize Infrastructure: Transition legacy database storage and code to robust, modern pipelines. Bridge Tech Eras: Master FAME coding to safely reverse-engineer and refactor code into Python and R. Collaborate: Partner with economists, data engineers, and IT on file transfers and validation.

Client Note: - Can accept candidates without FAME experience if they have worked with a different time-series data ecosystem. However, R programming experience is a must-have. DuckDB is required as well but if a candidate has worked with SQLite for analytics he would be willing to consider that., Experience: 7+ years in software development (SDLC). Tech Stack: Strong Python, R; familiarity with SQL-based systems or DuckDB. FAME is a major plus. Mindset: Open to emerging tech (including AI coding assistants) balanced with an unwavering commitment to data accuracy and tight monthly deadlines. Education: Bachelor's in CS, Economics, Physics, or a related quantitative field.