Senior Software Engineer, Data

SteerBridge is seeking a Senior Software Engineer Data to support the Modern Disability Claims program. This senior role owns the software engineering practice that surrounds our data platform including internal tools APIs and services that expose or consume data from the pipeline and shared libraries/frameworks while setting the standards and rigor (design patterns automated testing refactoring) that raise the overall engineering quality of the data pipeline. This is a backend-focused role distinct from both the Data Engineer who owns the pipeline logic itself and the Software Engineer who builds full-stack user-facing features.

• Design build and maintain internal tools APIs and shared libraries/frameworks that expose and consume data from the Modern Disability Claims data pipeline
• Set and enforce software engineering standards including design patterns clean architecture and refactoring practices across the data platforms surrounding tooling
• Establish and champion automated testing discipline (unit and integration using pytest) across the data engineering team
• Partner closely with Data Engineers to identify pipeline components that would benefit from stronger software engineering practices and lead the effort to bring them up to standard
• Package and distribute Python libraries and services with clear versioning dependency management and documentation
• Lead code reviews for platform tooling and where relevant pipeline code setting the bar for shared engineering standards
• Mentor engineers on software design testing and refactoring practices
• Debug and resolve complex software defects in internal tools and services supporting the data pipeline
• Document APIs libraries and internal tools for use by other engineering teams
• Contribute to sprint/team planning and provide status updates on assigned work

• U.S. Citizenship required
• Must hold or be able to obtain a Public Trust clearance (an active Secret or Top Secret clearance also satisfies this requirement)
• Bachelors degree in Computer Science Software Engineering or related field (or equivalent experience)
• 6 years of experience in software engineering
• Deep proficiency in Python including type hints/static typing (e.g. mypy) modern packaging (e.g. Poetry setuptools) and clean-architecture/design-pattern practices
• Extensive experience writing automated tests with pytest (unit and integration testing) with a track record of establishing testing discipline across a team
• Experience designing and building APIs and backend services
• Experience with Git and standard software development practices including code review
• Strong communication and collaboration skills with a track record of mentoring other engineers and working closely with data engineers to raise shared code-quality standards

• Familiarity with or hands-on experience with data pipelines or ETL/ELT concepts (helpful not required)
• Experience with cloud data platforms (AWS Azure or GCP)
• Experience with CI/CD pipelines and automated quality gates
• Experience supporting healthcare insurance benefits administration or federal programs