Senior Software Engineer, Data Engineering
Flatiron Health is hiring a Senior Software Engineer, Data Engineering in Durham, United States. Level rates it ; you can apply on Flatiron Health.
Level's read on this job
- Level rates this data engineer role Uses AI ●●○○: an ordinary role that requires AI tools.
- Tools and skills the posting cites include Claude, Cursor and Claude Code.
- Level classifies it as a senior role.
- Level lists 23 other open roles at Flatiron Health.
- The role was posted in the last few days.
AI in this role
Reimagine the infrastructure of cancer care within a community that values integrity, inspires growth, and is uniquely positioned to create a more modern, connected oncology ecosystem.
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. Are you ready to be the next changemaker in cancer care?
What You'll Do
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
Who You Are
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. In addition you have:
- 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
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
In this hybrid role, you’ll have a defined work location that 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
- Financial health resources including 1:1 financial advice
- 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
In addition to our robust benefit offerings, visit our Life at Flatiron page to learn how we support continuous learning and celebrate inclusion and belonging in the workplace.
How we rate this
Senior Software Engineer, Data Engineering at Flatiron Health rates 56 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in data engineer jobs at this level
Pay
- Typical data engineer job
- $146k
This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs
Questions you could be asked
- What's a project where you used Claude hands-on?
- Walk me through how you've used Cursor in your day-to-day work.
- What are the limits of Claude Code that you've run into, and how did you work around them?
- This role expects you to use AI tools as part of the job. Which ones have you used, and for what?
- Tell me about a time an AI tool got something wrong. How did you catch it?
Adapt your resume
- List these exact terms on your resume: Claude, Cursor, and Claude Code. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.
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