Senior Software Engineer, Data Engineering

Core Products Engineering

The Core Products Engineering team builds data product offerings that power insights for our life science partners. These insights help our partners make decisions about drug/disease targets, submit evidence for FDA approvals, and publish peer-reviewed research.

What You'll Do

• Design, build, and maintain data solutions that deliver insights to our customers, answering their targeted oncology research questions, and enabling 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
• 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

Who You Are

• A kind, passionate, and collaborative problem-solver who values the opportunity to think beyond the way things are
• An empathetic communicator who can translate between technical and non-technical audiences
• Thrives in ambiguity, stays calm under pressure, and is laser-focused on delivering value for our customers
• Experienced in data engineering, software engineering, or data-intensive applications
• Proficient 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
• Expertise in data engineering best practices (debugging, testing, validation, orchestration, observability)
• Collaborates effectively through Git, code review, and documentation
• Communicates clearly with non-technical stakeholders and enters discussions with curiosity
• Excited to work in a fast-moving environment and willing to be scrappy to get the job done

Education

• Bachelor's, Master's, or Ph.D. in computer science, data science, or a related field

Extra Credit

• 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 like Cursor or Claude Code

Where You’ll Work

This hybrid role includes work from home and 3 office days set by you and your team. For more information on our approach to hybrid work, please visit the how we work website.

Life at Flatiron

At Flatiron Health, we offer a full range of benefits to support you and your loved ones so you can focus your working hours on improving cancer care and accelerating cancer research, and your non-working hours on everything else life has to offer:

• Work/life autonomy via flexible work hours and flexible paid time off
• Comprehensive compensation package
• 401(k) contribution to help you reach your retirement planning goals
• Mental well-being tools and services
• Parental benefits and policies including family-building care and generous leave
• Path to parenthood programs supporting fertility, adoption and surrogacy
• Travel support for safe healthcare services

Salary Range

$152,000 - $209,000