Level

Flatiron Health

Senior Software Engineer

Flatiron Health is hiring a Senior Software Engineer in London, United Kingdom. Level rates it ; you can apply on Flatiron Health.

Level's read on this job

  • Uses AI ●●○○ is how Level rates this software engineer role: 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 22 other open roles at Flatiron Health.
  • The role was posted within the past week.

AI in this role

Build high-scale clinical data pipelines and products while leveraging AI coding tools like Cursor and Claude Code.

claudecursorclaude-codepythonpysparkprefectairflowsnowflaketerraformdockergitlab
data-engineeringbackendpipeline-architecturefull-stackinfrastructure

We’re looking for a Senior Software 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?

Flatiron Health is a healthtech company using data for good to power smarter care for every person with cancer, around the world. Flatiron partners with cancer centers in the US, Europe and Asia to transform patients’ real-life experiences into real-world evidence and create a more modern, connected oncology ecosystem. Our multidisciplinary teams include oncologists, data scientists, software engineers, epidemiologists, product experts and more. Flatiron Health is an independent affiliate of the Roche Group.

We’re looking for an experienced software engineer to join the Healthcare Data Products team. Our mission is to build scalable pipelines and platforms that transform raw clinical data into actionable insights, and to empower our clients to do the same. Whether it’s managing a 100+ source data lake or architecting Snowflake-native sharing solutions, your work directly impacts how cancer data is utilized across the industry.

What You’ll Do

As a Senior Engineer on the HC Data Products team, you will own the lifecycle of high-scale data applications. From our Snowflake data lake to customer-facing data retrieval interfaces, you will build systems that are robust, compliant, and performant. In addition, you’ll:

  • Architect & Scale: Design and maintain complex data pipelines using Python, PySpark, Prefect, and Airflow to ingest data from hundreds of sources into Snowflake.
  • Innovate Infrastructure: Transition our data delivery models toward modern Snowflake-native data sharing and high-performance Parquet extractions.
  • Full-Stack Ownership: Support our EHR application and data export features by working across the stack, from Python backends to React frontends.
  • Modernize Tooling: Use Terraform (via Spacelift), Docker, and GitLab CI/CD to ensure our infrastructure is code-driven, while leveraging Datadog and Metaplane for end-to-end system and data observability.
  • High-Velocity Dev-Ex: Leverage cutting-edge AI-assisted development tools like Cursor and Claude Code to streamline workflows and focus on solving complex oncology data challenges.
  • Collaborate: Partner with oncologists, product leaders, and data scientists to translate complex product and regulatory requirements into elegant technical solutions.

Who You Are

You're a kind, collaborative, and passionate problem-solver who thrives at the intersection of software engineering and data platform architecture.

  • The Experience: You have 4+ years of professional experience building scalable, production-grade software.
  • The Stack: You are highly proficient in Python and have a deep understanding of relational databases (Snowflake preferred).
  • The Mindset: You have a nose for value and empathy for your internal and external customers. You proactively identify problems that have a high impact on the business. 
  • The Communicator: You can explain complex data flows to non-technical stakeholders and mentor junior engineers on best practices.
  • The Academic: You hold a degree in Computer Science or a related field (or have equivalent foundational experience).

Extra Credit

  • Modern Data Stack: Experience with Airflow, Prefect, PySpark, or Terraform.
  • Front-End Flair: Experience with React or similar JS frameworks for building data-heavy internal tools.
  • Cloud Native: Hands-on experience with AWS services (S3, EMR, EC2).
  • Healthcare Context: Familiarity with healthcare data domains (e.g., Clinical, Financial, or Research) and an understanding of provider workflows within an EHR.
  • Open Source: You contribute to the community or have a passion for building developer tools.

Who We Are

Our people are at the centre of everything we do. We strive to foster a culture where our teammates feel equipped and empowered to make meaningful contributions with confidence, compassion, and clarity.

How we rate this

Senior Software Engineer at Flatiron Health rates 45 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.

Classification

Uses AI. An ordinary role that requires AI tools.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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

Data EngineeringBackendPipeline ArchitectureFull StackInfrastructureClaudeCursorClaude Code

Also common in software engineer jobs at this level

Pay

Typical software engineer job
$168k

This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs

Questions you could be asked

  1. Tell me about a project where data engineering was part of your work. What did you do?
  2. Tell me about a project where backend was part of your work. What did you do?
  3. Tell me about a project where pipeline architecture was part of your work. What did you do?
  4. Tell me about a project where full stack was part of your work. What did you do?
  5. Tell me about a project where infrastructure was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Data Engineering, Backend, Pipeline Architecture, Full Stack, and Infrastructure. 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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