Steerbridge Senior Software Engineer at SteerBridge to design, build, and maintain backend systems for data platform. Lead cross-functional initiatives and write production-grade Python and SQL code.
Responsibilities
Design, develop, and maintain backend services and data pipelines that support analytics, reporting, and downstream applications
Write clean, well-tested, maintainable Python and SQL code and contribute to the evolution of our engineering standards and best practices
Architect data storage, processing, and integration solutions that scale with business needs
Lead technical design discussions and make sound trade-offs between performance, cost, maintainability, and delivery speed
Partner with data scientists, analysts, product managers, and other engineering teams to translate business requirements into technical solutions
Own project timelines and deliverables for cross-functional initiatives, coordinating dependencies across teams
Conduct code reviews and mentor junior and mid-level engineers
Troubleshoot and resolve production issues, including performance bottlenecks and data quality problems
Contribute to technical documentation and knowledge-sharing across the organization
Evaluate and recommend new tools, frameworks, and approaches to improve the team's data infrastructure
Qualification
Eligibility requirementsTechnical SkillsExpert-level Python programming skillsStrong understanding of API designProject & Cross-Functional SkillsStrong project management instincts
Required
Eligibility requirements: U.S. citizenship is required for this position under applicable federal contract requirements. Candidates must also be able to obtain and maintain the security clearance required for the role.
Technical Skills
Strong foundation in computer science fundamentals: data structures, algorithms, distributed systems, and software design principles
Expert-level Python programming skills, with experience building production backend systems
Solid understanding of relational databases and SQL; experience with cloud data warehouses (e.g. Redshift) a plus
Experience with cloud infrastructure (AWS, GCP, or Azure) and infrastructure-as-code tools (e.g., Terraform)
Familiarity with data processing frameworks (e.g., Spark, Pandas) and workflow orchestration tools (e.g., Airflow)
Strong understanding of API design, microservices architecture, and system integration
Proficiency with version control (Git) and CI/CD practices
Project & Cross-Functional Skills
Demonstrated experience leading or coordinating projects across multiple teams or stakeholders
Strong project management instincts: scoping work, setting timelines, managing risk, and communicating status clearly