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Thyme Care

Data Integration Engineer

Sorry, this job was removed at 05:19 p.m. (EST) on Monday, Aug 10, 2026
Remote or Hybrid
Hiring Remotely in United States
140K-155K Annually
Mid level
Remote or Hybrid
Hiring Remotely in United States
140K-155K Annually
Mid level

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The Data Ingestion Specialist will manage the ingestion of healthcare data, improve data models, debug issues, and collaborate with team members to maintain pipeline reliability and efficiency.
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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:

  • Gain a deep understanding of our data platform and contribute to improving our data models and pipelines using SQL, dbt, and python (generally data-focused packages, e.g., pandas, polars)
  • Support ingestion of a wide range of healthcare-related sources (claims, eligibility, prior auth, ADT, etc.) by
    • Configuring net-new ingestions (parsing file specs, validating assumptions, communicating inconsistencies)
    • 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, backfills)
  • Learn to use Datadog and PagerDuty to monitor pipelines, triage incidents during business hours, communicate impact clearly, and drive root-cause fixes to prevent recurrences
  • Contribute to a complex, self-hosted dbt monorepo: implement transformations, incremental models, tests, documentation, and conventions that scale across deals

WHAT YOU HAVE

  • Strong SQL skills
  • Familiarity with dbt (and an interest in ramping up your expertise), including working in larger/complex projects
  • Working knowledge of Python for data investigation in notebooks
  • Experience operating data pipelines: debugging failures, tracing issues across systems, and communicating clearly about root cause and mitigation
  • Experience with testing and data quality: writing and maintaining tests and using failures/alerts to drive durable fixes
  • Responsiveness and the ability to stay calm and organized when triaging failing ingestion runs or pipelines
  • Willingness to learn new domains and tools quickly (new partner file formats, evolving standards, Databricks), and apply feedback without ego
  • The ability to engage technical and non-technical stakeholders to explain what’s happening in our pipelines and identify opportunities to improve transparency and alerting
  • Nice-to-have: healthcare data exposure (claims/eligibility/ADT/etc.)

WHAT LEADS TO SUCCESS

  • Act with our members in mind. Thyme Care’s mission, and in particular our member experience, matters deeply to you. 
  • Move with purpose. You’re biased to action. You know how to identify and prioritize your initiative’s needs, and do what it takes to ensure that urgent and important needs are acted on immediately. 
  • Seek diverse perspectives. You are humble and actively seek feedback from others, eager to learn and share knowledge.
  • Reliability mindset. You treat recurring failures as solvable system problems and systematically reduce them with testing and automation.
  • Practical judgment. You know when to ship a safe fix now vs. invest in a sturdier improvement, and you document the why.
  • Clear collaboration. You work smoothly with DS, PM, and Platform counterparts, understanding competing priorities and turning ambiguity into concrete next steps.
  • Comfort with ambiguity. You have a successful track record working at scaling organizations, in fast-paced environments, and at ambitious startups. You navigate through challenges and find solutions in uncertain situations.

OUR VALUES

At Thyme Care, our core values guide us in everything we do: Act with our members in mind, Move with purpose, and Seek diverse perspectives. They anchor our business decisions, including how we grow, the products we make, and the paths we choose—or don’t choose.

Our salary ranges are based on paying competitively for our size and industry, and are one 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 members and the members we serve. We are an equal-opportunity employer.

Be cautious of recruitment fraud, and always confirm that communications are coming from an official Thyme Care email.

Thyme Care New York, New York, USA Office

Our NYC office is located on Greene Street in the heart of SoHo!

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

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