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NEXTMOVEFDE careers · United States

Data Integration Engineer

AI summary of the role

Data Integration Engineer on the DICE team ensures reliable ingestion of partner and vendor healthcare data into Thyme Care's platform, working across multiple deals and sources.

What you’ll do

  • Configure and debug healthcare data ingestions (claims, eligibility, ADT)
  • Build and improve data pipelines with SQL, dbt, Python, Dagster
  • Create data contracts and validation logic with stakeholders
  • Monitor pipelines with Datadog/PagerDuty and drive root-cause fixes

What you’ll bring

  • Strong SQL skills
  • Familiarity with dbt in complex projects
  • Python for data investigation in notebooks
  • Experience operating and debugging data pipelines

Technologies

SQL · dbt · Python · pandas · polars · Dagster · GitHub Actions · Databricks · Jupyter · Datadog · PagerDuty

About Thyme Care

Tech-enabled, human-powered oncology navigation platform that helps health plans, employers, and risk-bearing providers improve cancer outcomes, member experience, and total cost of care through 24/7 clinical support and value-based care infrastructure.

Series D · 500–1000 people

Source and classification

Internal deployment & tooling · Evidence for this classification:

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
More from the job description

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 o [... source excerpt omitted ...] Debugging issues in ongoing ones Helping standardize our processes and pipelines Collaborate with data scientist deal owners and internal stakeholders to turn messy, ambiguous requirements into concrete mapping/validation logic and durable data contracts Use Dagster and GitHub Actions to orchestrate and automate the early stages of our data pipelines, improving run reliability and reducing manual intervention Work hands-on with raw data using Jupyter Notebooks in Databricks to investigate data issues, validate assumptions, and unblock processing Design and support incremental data loads (append/merge/upsert patterns) and safe reprocessing (idempotent runs, late-arriving data, [... source excerpt omitted ...] part of the total compensation package that also includes equity, benefits, and other opportunities at Thyme Care. Individual pay decisions are based on several factors, including qualifications, experience level, skillset, and balancing internal equity relative to other Thyme Care employees. The base salary for this role is $139,500-$155,000. The salary range could be lower or higher than this if the role is hired at another level. We recognize a history of inequality in healthcare. We’re here to challenge the status quo and create a culture of inclusion through the care we give and the company we build. We embrace and celebrate a diversity of perspectives in reflection of our member

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