Senior Software Engineer, Data Platform

The Role

GeneDx, the world’s leading genomics diagnostics company, is seeking a Senior Software Engineer for

our Data Platform team. As a Sr. Software Engineer at GeneDx, you will collaborate with engineers across various teams to

deliver reliable, scalable, and user-friendly data solutions for our Data Service & Platform. You will lead

the technical design and implementation efforts to enhance data workflows, employing the best

practices and 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 innovative technical solutions to improve how our data applications empower their

workflows.

In this senior role, you will own strategic initiatives for the data platform. Your extensive engineering

knowledge and exceptional communication skills will enable you to plan and evaluate complex projects

that span multiple technical specialties within data engineering and beyond. Leading efforts that involve

collaboration with cross-functional teams outside of the data platform, you will ensure seamless

integration and alignment with broader organizational goals. Working alongside other technical leads

and engineers, you will break down, estimate, implement, 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 junior peers in best practices for data platform development.

Experience, Traits, and Skills

• Professional Background: Minimum of 8+ years of experience in backend development.

• API Development: Proven experience in building scalable API services.

• Distributed Systems: Experience developing applications in a distributed environment.

• Containers & Orchestration: Strong proficiency with containers, Docker, and Kubernetes.

• Data Pipelines: Proficient in building ETL processes and data processing pipelines.

• Workflow Management Tools: Familiarity with tools like Temporal or Conductor.

• Programming Languages: Expertise in Python and Java.

• Microservices Architecture: Strong experience with RESTful APIs and microservices.

• Databases: Expertise in PostgreSQL, Cassandra, or Redis.

• Cloud Platforms: Expertise in cloud platforms and infrastructure, with hands-on experience in

Infrastructure as Code practices.

• Problem-Solver: Ability to tackle complex and potentially ambiguous technical challenges with

innovative solutions.

• Leader: Experience mentoring junior engineers and leading technical projects.

• Collaborative: Excellent communication skills and a team-player mindset.The Responsibilities

• Scalable Solutions: Architect scalable and reliable data storage and processing solutions and

implement observability to monitor system performance and behavior.

• Containerization: Implement and manage containerization strategies using Docker and

Kubernetes.

• Data Pipelines: Build and manage efficient data pipelines for ETL processes.

• Workflow Management: Utilize tools like Temporal or Conductor to orchestrate complex

workflows.

• Optimization: Improve system performance, scalability, and reliability.

• Collaboration: Work closely with developers, product managers, and other stakeholders to

define and implement new features.

• Code Quality: Conduct code reviews and ensure adherence to best practices and coding

standards.

• Data Quality: Ensure the accuracy, reliability, and integrity of data across the platform.

• Performance Optimization: Monitor system performance and implement improvements.

• Mentorship: Guide and mentor junior team members to foster a culture of learning and growth.

• Documentation: Create and maintain technical document