> Markdown version of [/jobs/ext/1993178-data-engineer](https://www.wearedevelopers.com/jobs/ext/1993178-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Daymark Health - **Location:** Northeastern United States, United States (Remote available) - **Experience:** Experienced - **Salary:** $140,000.0 - $160,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Information Engineering, Data Infrastructure, Data Integrity, Data Systems, Snowflake, Data Pipelines - **Published:** August 8, 2026 - **Apply:** https://job-boards.greenhouse.io/daymarkhealth/jobs/5382060008 ## About the Role * Experience: You bring 4+ years of experience in data engineering, with a strong technical foundation and track record of building scalable data systems in cloud environments. You've implemented modern data stacks including Snowflake, AWS, dbt, and other best-in-class tools. * Healthcare data expertise: You have a deep understanding of healthcare data-particularly claims, EMR, and patient-generated health data-and how to translate it into insights that drive care delivery, cost reduction, and payer-provider alignment. You've worked with actuarial teams or value-based care leaders to model risk, evaluate performance, and inform contract design or shared savings arrangements. * Strategic problem-solver: You thrive in ambiguity and are energized by building clarity from complexity. You combine hands-on technical ability with a systems-thinking mindset to design solutions that scale. * Collaborative operator: You're a strong communicator and cross-functional partner who can navigate between technical teams and clinical leaders to drive results. * Curiosity and innovation: You constantly seek better ways to unlock the value of data. You stay current with emerging tools and methodologies and bring a creative, experimental approach to solving problems. * Mission-first: You are driven by a desire to improve the healthcare system and deeply aligned with Daymark's mission to transform cancer care for patients, families, and providers. ## Description At Daymark Health, we are transforming how data drives decision-making in healthcare. We are seeking a Data Engineer who is passionate about building scalable, impactful data pipelines, working with complex healthcare datasets, and contributing to Daymark's mission. Working very closely with Finance and Clinical leaders, you will play a key role in shaping the foundation of our data operations. In this role, you will: * Support the deployment of scalable infrastructure and tooling (e.g. Snowflake, dbt, AWS, Sigma) to support analytics, reporting, and real-time data exchange with providers and partners. * Drive high-impact analyses across claims, EHR, and real-time patient activity data, translating complex data into clear insights that inform care delivery and payer collaboration. * Build and scale robust data pipelines and governance practices to ensure data integrity, availability, and compliance across the organization. * Partner cross-functionally with Product, Engineering, Clinical, and external teams to prioritize data initiatives that advance Daymark's mission and scale our value-based care model * Develop and maintain real-time analytics capabilities to monitor key metrics and inform strategic decisions. * Collaborate with engineering and other teams to integrate analytics into production systems. * Provide ongoing insights from partner and provider data that directly impact patient outcomes and business success. * Align data infrastructure to be flexible in organization's strategic priorities (i.e., pharma data, Fee-for-service, etc.) * Augment analytics processes with AI use cases ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Exploring 5 Key Applications of AI Abundance with Blockchain Assurance](https://www.wearedevelopers.com/videos/971-exploring-5-key-applications-of-ai-abundance-with-blockchain-assurance) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [The Data Mesh as the end of the Datalake as we know it](https://www.wearedevelopers.com/videos/156-the-data-mesh-as-the-end-of-the-datalake-as-we-know-it) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)