Staff Software Engineer - Data Platform

The Role

GeneDx, the world’s leading genomics diagnostics company, is seeking a Staff Software Engineer for our Data Platform team.

As a Staff Software Engineer, you will lead cross-functional teams to deliver reliable, scalable, and user-friendly data solutions for our Data Service & Platform. Leveraging your extensive engineering expertise, you will architect and oversee the technical design and implementation efforts to enhance data workflows, employing the best practices and innovative principles of modern software engineering. Partnering with Product Managers and Designers, you will gain deep insights into the needs and pain points of both internal and external users, proposing and implementing cutting-edge technical solutions to significantly improve how our data applications empower their workflows.

In this role, you will own strategic initiatives for the data platform. Your extensive engineering knowledge and exceptional communication skills will enable you to plan, evaluate, and execute complex projects that span multiple technical specialties within data engineering and beyond. Leading efforts that involve collaboration with cross-functional teams across the organization, you will ensure seamless integration and alignment with broader organizational goals. Working alongside other senior technical leads and engineers, you will break down complex challenges, estimate efforts, implement solutions, and document both technical and user-centered data requirements. Your expertise in time and project management will be crucial in delivering projects on schedule and within scope. As a thought leader, you will guide the team in establishing architectural strategies for our data systems, identifying technical dependencies, managing technical debt, and mentoring engineers in best practices for data platform development.

Experience, Traits, and Skills

• 10+ years as a software engineer with a proven track record of delivering on time and with quality.
• Expert knowledge of data structures, modern design patterns, and system architecture.
• Proficiency in languages such as Python and Java.
• Deep understanding of distributed systems and microservices architecture
• Proficient with Docker and Kubernetes for containerization and orchestration.
• Experience with workflow management tools like Temporal or Conductor.
• Cloud Platforms: Expert knowledge of cloud computing platforms like OCI, AWS, or GCP.
• Extensive knowledge of building quality APIs and data services for internal and external products.
• Significant experience integrating internal and third-party services into your solutions.
• Demonstrable ability to lead projects, deliver end products on time and at quality, and influence technical roadmaps.
• Proven track record of mentoring and developing other engineers.
• Ability to shift from tactical to strategic approaches and break down large problems into manageable pieces.
• Strong business acumen to advise on technical possibilities for various stakeholders and partner with other company functions.
• Ability to introduce new design patterns and identify systemic architecture issues as a subject matter expert across specialties.

The Responsibilities

• Identify, architect, develop, test, deploy, and operate fully integrated data solutions that provide seamless end-to-end experiences across build and buy scenarios.
• Lead and influence long-term engineering strategies for our Data Platform, owning the definition and adoption of strategic aims across components.
• Lead cross-functional technical efforts, driving alignment and consensus across diverse teams outside of the data platform.
• Design and implement scalable data systems, making critical technical decisions on technology, reliability, and performance that impact both short-term projects and long-term business strategies.
• Represent the Data Platform team in technical discussions and strategic planning, influencing prioritization across engineering teams and advising on technical possibilities for various stakeholders.
• Design, build, and maintain infrastructure for modern data integration methods between our applications, third-party services, and other internal services.
• Solve complex, high-impact problems and influence strategies to improve system and product quality across the organization.
• Influence strategies and execution roadmaps within your department or technical areas of expertise, ensuring alignment with business goals.
• Deliver a variety of artifacts—including code, designs, prototypes, strategies, or architectures—that lead to system simplification and higher impact.
• Collaborate effectively with product managers, designers, engineers, stakeholders, and vendors on projects within the team and across the company.
• Communicate complex technical issues and business impacts clearly to varied audiences.
• Mentor, develop, and grow members in your department, fostering a culture of continuous improvement and learning.
• Exhibit resourcefulness in completing projects efficiently, supporting the development of complex implementation plans.

The Objectives

• Delivery of a cost-efficient, reliable, and scalable data platform.
• Be an active and vital contributor to your team, enhancing your co-workers’ success and well-being.
• Ensure the data platform is scalable, cost-controlled, reliable, and engineered with modern software engineering best practices.
• Develop modular and evolvable data platform software, allowing easy implementation of improvements and new features.