Senior Software Engineer (Data Backend)

Position Overview

We're looking for a Senior Software Engineer to design, build, and maintain the backend systems powering our data platform. This role combines deep technical craftsmanship with the ability to lead cross-functional initiatives - you'll write production-grade code, make architectural decisions, and coordinate with stakeholders across engineering, data science, and product to deliver reliable, scalable data infrastructure.

Key Responsibilities

• Design, develop, and maintain scalable backend services and data pipelines that support analytics, reporting, and downstream applications.
• Write clean, well-tested, and maintainable Python and SQL code while contributing to engineering standards and best practices.
• Architect data storage, processing, and integration solutions, making informed trade-offs between performance, cost, maintainability, scalability, and delivery speed.
• Partner with data scientists, analysts, product managers, and engineering teams to translate business requirements into effective technical solutions.
• Lead cross-functional technical initiatives, managing project timelines, deliverables, and dependencies across teams.
• Conduct code reviews, mentor junior and mid-level engineers, and contribute to technical documentation and knowledge-sharing.
• Troubleshoot and resolve production issues, including performance bottlenecks and data quality problems.
• Evaluate and recommend tools, frameworks, and approaches to improve data infrastructure and engineering processes.

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.
• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience, with 6+ years of professional software engineering experience focused on backend or data systems.
• Expert-level Python programming skills with a strong foundation in computer science fundamentals, including data structures, algorithms, distributed systems, and software design principles.
• Strong understanding of relational databases, SQL, API design, microservices architecture, and system integration.
• Experience with cloud infrastructure such as AWS, GCP, or Azure, infrastructure-as-code tools such as Terraform, and Git-based version control and CI/CD practices.
• Familiarity with data processing frameworks such as Spark and Pandas and workflow orchestration tools such as Airflow.
• Demonstrated ability to lead cross-functional projects, manage timelines, risks, competing priorities, and stakeholder needs, and communicate technical concepts effectively to technical and non-technical audiences.
• Ability to work independently and drive initiatives forward with minimal oversight in a fast-paced environment.
• Preferred Qualifications