Senior Platform Engineer, Data

OUR MISSION

We exist to create a more connected, compassionate, and confident experience for people with cancer and those who care for them. We make it easier to get answers, access high-quality care quickly, and feel supported throughout treatment and beyond.

Today, Thyme Care is a market-leading value-based oncology care enabler, partnering with national and regional health plans, providers, and employers to deliver better outcomes and lower costs for thousands of people across the country. Our model combines high-touch human support with powerful technology and AI to bring together everyone involved in a person’s cancer journey: caregivers, oncologists, health plans, and employers.

As a tech-native organization, we believe technology should strengthen the human connection at the center of care. Through data science, automation, and AI, we simplify complexity, improve collaboration, and help care teams focus on what matters most: supporting people through cancer.

Looking ahead, our vision is bold: to become a household name in cancer care, where every person diagnosed asks for Thyme Care by name. If you’re inspired to make cancer care more human and to help reimagine what’s possible, we’d love to meet you. Together, we can build a future where every person with cancer feels truly cared for, in every moment that matters.

WHAT YOU’LL DO

As a Senior Platform Engineer on the Data Platform team, you will work on a blend of platform and devex engineering – owning key systems and tooling to ensure both our data pipelines and tooling are reliable and scale as Thyme Care continues to grow. You will join an organization that has prioritized the developer experience from day one and believes that our data teams are most effective when they have the right tools for the job. You will partner with our data, analytics, and actuarial teams to scale the tooling and infrastructure to support faster, more accurate insights that directly impact the members we serve.

Additionally, you will:

• Lead our team’s orchestration consolidation to Dagster end-to-end, from technical design through implementation and rollout.

• Contribute to our custom dbt-core infrastructure that has scaled to over 50 dbt projects and 15 thousand models.

• Design and implement the Python abstractions our data tooling is built on, so that a new project or pipeline inherits consistent structure and conventions instead of reinventing them.

• Develop proactive monitoring and alerting for our tooling and data pipelines.

• Take ownership of both technical solutions and the growth of the engineering team by mentoring junior engineers and fostering a culture of learning, collaboration, and technical excellence.

• Make Databricks easier to build on, developing the tooling, defaults, and guardrails that let our teams run their own workloads without needing to become platform experts.

WHAT YOU’VE DONE

• You have 5+ years of experience building, shipping, and supporting software in production.

• You are an experienced Python engineer who has built and operated systems on AWS, including internal tools and complex job orchestration with Dagster or Airflow.

• You have taken ownership of features from idea to production, including design, implementation, testing, and ongoing improvements.

• You have deployed and operated cloud infrastructure with infrastructure-as-code (e.g. Terraform), and have built or contributed to the CI processes your team ships through.

• You have used and contributed to AI tooling that supports developer productivity, code quality, and engineering best practices.

• You have worked as a data or platform engineer in a modern data stack environment, ideally in a fast-moving, early-stage or growth-stage company.

Nice to have, but not required:

• You have hands-on experience with Databricks or Snowflake.

• You have built, deployed, and maintained dbt at scale.

• You have prior experience working in healthcare or health tech.

WHAT LEADS TO SUCCESS

Comfort with ambiguity. You thrive in fast-paced environments where priorities evolve and problems aren’t fully defined. You take ownership, bias toward action, and are comfortable making progress with imperfect information, while maintaining a high bar for quality as products and teams mature.

Curiosity. You have a drive to understand how things work and love sharing that knowledge with others. You’re energized by learning new technologies, improving systems, and helping your teammates grow. (Find out more about our engineering team’s culture of learning