Data Engineer

Trilogy Federal drives innovative solutions for complex business challenges across financial management, healthcare, and government industries. Our collaborative, client-first service approach, combined with our commitment to the rapid implementation of pragmatic solutions, has earned Trilogy an unparalleled reputation for delivering transformative results.

Trilogy Federal is seeking a motivated Data Engineer to support the design, development, and sustainment of enterprise workflow and case management applications for a federal health client. The Data Engineer will work alongside senior developers, data engineers, and business analysts to build application components, structured data models, integrations, and reporting outputs that support a multi-level clinical review and approval workflow. Day-to-day work spans both application development and data engineering: implementing intake forms and role-based dashboards, designing and maintaining the underlying data structures that drive routing and threshold logic, building and validating data pipelines, and producing reporting views and executive summary outputs used by leadership. This is a hands-on, growth-oriented role for an early-career engineer who is comfortable working from user stories and acceptance criteria, asking clarifying questions, and delivering incremental work in an Agile environment. The ideal candidate is a fast learner with strong fundamentals in Python and SQL who is eager to pick up low-code platforms and federal delivery practices under the mentorship of senior technical staff.

Please note, this position is remote, but may require occasional ad hoc travel to client locations.