Senior Software Engineer, Data Engineering

Flatiron Health • New York, NY

8h • Hybrid

About The Position

The Core Products Engineering team builds data product offerings that power insights for Flatiron Health’s life science partners. Customers use Flatiron data to inform drug and disease target decisions, submit evidence for FDA approvals, and publish peer-reviewed research. The Senior Data Engineer designs and maintains data solutions that address oncology research questions and enable research and development across the drug discovery lifecycle.

The role combines engineering with cross-functional collaboration, partnering closely with quantitative scientists, clinical data analysts, research oncologists, project managers, and customers. The engineer translates business and research needs into technical solutions, supports data quality and contractual requirements, and helps deliver reliable pipelines. The role also includes mentoring junior data engineers, improving team practices, and applying AI-assisted coding tools with sound judgment.

This is a hybrid role with a defined work location and three office days set by the employee and team.

Requirements

• 4+ years of professional experience in data engineering, software engineering, or data-intensive applications.
• Strong proficiency in SQL and Python.
• Experience building, maintaining, and debugging ETL/ELT pipelines and the systems that orchestrate them.
• Experience with cloud platforms, preferably AWS, and containerized environments such as Docker.
• Experience with data modeling and production datasets in Snowflake.
• Experience leading data engineering teams and managing engineers.
• Expertise in data engineering best practices, including debugging, testing, validation, orchestration, and observability.
• Ability to collaborate effectively through Git, code review, and documentation.
• Clear communication with non-technical stakeholders and a curious approach to discussions.
• Ability to work in a fast-moving environment and be scrappy to get the job done.
• Bachelor's, Master's, or Ph.D. in computer science, data science, or a related field.

Nice To Haves

• Experience working in healthcare or with healthcare-related data standards.
• Experience working directly with customers in a solutions engineer or forward deployed engineer role.
• Experience developing with AI-assisted tools such as Cursor or Claude Code.

Responsibilities

• Design, build, and maintain data solutions that deliver customer insights, answer targeted oncology research questions, and enable R&D across the drug discovery lifecycle.
• Collaborate with clinical data analysts to ensure data meets quality standards and contractual requirements.
• Break down ambiguous requirements into well-scoped, actionable work; surface risks and ask clarifying questions early.
• Translate business and research needs into technical solutions while balancing customer needs, technical constraints, and delivery timelines.
• Mentor, educate, and develop junior data engineers.
• Context-switch across multiple pipelines and stakeholders while maintaining accountability for on-time delivery.
• Participate in design and code reviews, offering and receiving constructive feedback.
• Identify inefficiencies in code or processes and propose improvements.
• Use AI-assisted coding tools to accelerate development while applying critical judgment to maintain quality.
• Monitor CI/CD processes, investigate pipeline issues, and resolve them by tracing to root causes.

Benefits

• Flexible work hours and flexible paid time off.
• Comprehensive compensation package.
• 401(k) contribution.
• Financial health resources, including one-to-one financial advice.
• Mental well-being tools and services.
• Parental benefits and policies, including family-building care and generous leave.
• Fertility, adoption, and surrogacy support through path-to-parenthood programs.
• Travel support for safe healthcare services.
• Continuous learning support and inclusion and belonging initiatives.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior