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# Senior Software Engineer, Data

- **Company:** SteerBridge Strategies, LLC
- **Location:** Vienna, VA, United States
- **Experience:** Expert
- **Salary:** $145,000 - $175,000
- **Contract:** Permanent contract
- **Skills:** Automation of Tests, Unit Testing, Code Review, Extract Transform Load (ETL), Software Design Patterns, Python (Programming Language), Software Engineering, Web Services, Backend, Git, Pytest, Information Technology, Api Design, Code Restructuring, Data Pipelines
- **Published:** November 11, 2026
- **Apply:** https://www.thejobnetwork.com/job/3e2d6bde-3b58-456e-a506-c3010e266a48/senior-software-engineer-data

## About the Role

* Must hold, or be able to obtain, a Public Trust clearance (an active Secret or Top Secret clearance also satisfies this requirement)
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 * Bachelor's degree in Computer Science, Software Engineering, or related field (or equivalent experience)
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 * 6+ years of experience in software engineering
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 * Deep proficiency in Python, including type hints/static typing (e.g., mypy), modern packaging (e.g., Poetry, setuptools), and clean-architecture/design-pattern practices
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 * Extensive experience writing automated tests with pytest (unit and integration testing), with a track record of establishing testing discipline across a team
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 * Experience designing and building APIs and backend services
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 * Experience with Git and standard software development practices, including code review
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 * 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
\n, * Familiarity with, or hands-on experience with, data pipelines or ETL/ELT concepts (helpful, not required)

## Description

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.