Senior Software Engineer, Flatiron Health

• You're a kind, passionate, and collaborative problem-solver who values the opportunity to think beyond the way things are
• You're an empathetic communicator who can translate between technical and non-technical audiences
• You thrive in ambiguity, stay calm under pressure, and are laser-focused on delivering value for our customers
• 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 as well as the underlying systems orchestrating them
• Experience with cloud platforms (AWS preferred) and containerized environments (Docker)
• Experience with data modeling and production datasets in Snowflake
• Experience leading data engineering teams and managing engineers
• You are an expert in data engineering best practices (debugging, testing, validation, orchestration, observability)
• You collaborate effectively through Git, code review, and documentation
• You communicate clearly with non-technical stakeholders and enter discussions with curiosity
• You're excited to work in a fast-moving environment and willing to be scrappy to get the job done
• Bachelor's, Master's, or Ph.D. in computer science, data science, or a related field

Desirable

• We're looking for a customer-obsessed Senior Data Engineer to help us accomplish our mission to improve and extend lives by learning from the experience of every person with cancer
• The Core Products Engineering team builds data product offerings that power insights for our life science partners, who leverage our data to improve health outcomes through cancer treatment research
• Our customers rely on Flatiron data to make decisions about drug/disease targets, submit evidence for FDA approvals, and publish peer-reviewed research
• In this role, you'll work at the intersection of engineering and cross-functional collaboration—designing data solutions while partnering closely with quantitative scientists, clinical data analysts, research oncologists, and project managers
• Design, build, and maintain data solutions that deliver insights to our customers, answer their 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, balancing customer needs, technical constraints, and delivery timelines
• Serve as a role model to 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, giving and receiving constructive feedback that elevates team quality
• Identify inefficiencies in code or processes and propose improvements
• Effectively leverage AI-assisted coding tools to accelerate development while applying critical judgment to maintain quality
• Monitor CI/CD processes to ensure pipelines run reliably; investigate and resolve issues by tracing to root causes