The successful candidate will own software and data engineering across our portfolio: designing and building reusable platforms, backend services, and APIs; developing robust data pipelines and data products that keep scientific and instrument data reliable, well-structured, and analytics-ready; and consolidating fragmented or legacy tools into secure, maintainable, enterprise-grade systems. Strong data engineering skills, with demonstrated experience designing, building, and operating production data pipelines (ETL/ELT), data models, and data products, including working with databases, data warehouses, or data lakes.