Implementation Engineer
Design and maintain robust data integration pipelines to unify oncology data from multiple sources, leveraging Python, SQL, and AWS services to ensure high-quality, timely information for care decision-making.
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 Data Integration Engineer on our Data Ingestion & Care Enablement (DICE) team, you’ll be part of the horizontal layer that keeps partner and vendor data flowing reliably into Thyme Care . In this position, you will collaborate closely with our Product Manager and other Data teammates focused on data ingestion and analytics engineering. You’ll work across many deals and data sources, supporting Data Scientist deal owners by making ingestion consistent, debugging failures, and raising the reliability bar through better tests, monitoring, and data contracts.
In the course of your work you should also expect to:
Posted June 24, 2026