SteerBridge
Data Engineer
About this role
SteerBridge seeks a Data Engineer to support mission-focused technology solutions for U.S. Government and private sector clients. You'll build and maintain data infrastructure while working alongside veterans and professionals committed to digital transformation and operational excellence.
What you'll do
- Design and implement scalable data pipelines and infrastructure
- Develop ETL processes to support data analytics and reporting
- Maintain and optimize database systems and data warehouses
- Collaborate with cross-functional teams on data architecture decisions
- Ensure data quality, security, and compliance with federal requirements
- Monitor system performance and troubleshoot data-related issues
What they're looking for
- Data pipeline development (ETL/ELT)
- SQL and database design
- Python or Java programming
- Cloud platforms (AWS, Azure, or GCP)
- Data warehousing concepts
- Version control and CI/CD practices
- Problem-solving and analytical thinking
- Communication and teamwork
Benefits
- Meaningful work supporting U.S. Government missions
- Career growth and professional development opportunities
- Culture that values veterans and military-connected professionals
- Agile, collaborative team environment
- Modern technology stack and tools
- Mission-driven organization with strong values
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SteerBridge
SteerBridge builds mission-critical software solutions and infrastructure services for U.S. Government and private sector clients, including a VA-integrated payments platform (SteerFi) for Veterans and aviation modernization initiatives. The company is hiring software engineers, security engineers, data engineers, and specialized engineers across backend development, full-stack applications, cybersecurity, data pipelines, and healthcare facility engineering.
View all jobs at SteerBridgeLikely interview questions
- Describe your experience designing and building data pipelines. What tools and technologies have you used?
- How do you approach optimizing database queries and data warehouse performance?