Senior/Principal Data Engineer
WFA Digital Insight
Waymark’s mission to redesign Medicaid care puts data at the core of its strategy, and this senior‑level engineer will shape that data foundation. The role goes beyond routine ETL work; it demands deep knowledge of clinical standards like FHIR, HL7, and ICD‑10 while delivering sub‑hour latency for real‑time insights. You’ll be the technical lead for a variety of partner integrations, from large health‑information exchanges to boutique vendor feeds, and you’ll work side‑by‑side with data scientists building risk scores and alerting systems. The position sits within a multidisciplinary team of clinicians, technologists, and product managers, offering a rare chance to blend hardcore engineering with direct impact on patient outcomes.
Job Description
About Waymark Waymark is a mission-driven team of healthcare providers, technologists, and builders working to transform care for people with Medicaid benefits. Our community-based care teams—powered by proprietary data science and ML technologies—support care for tens of thousands of Medicaid members across multiple states, driving measurable reductions in avoidable emergency department visits and hospitalizations. We’re designing tools and systems that bring care directly to those who need it most—removing barriers and reimagining what’s possible in Medicaid healthcare delivery and we are seeking a highly experienced Data Engineer to join this mission. This is a senior to principal-level individual contributor role who combines deep backend engineering fundamentals with specialized expertise in Electronic Health Record (EHR) data integration. You will report to data engineering leadership and setting the technical direction for our clinical data platform by leading the design, development, and optimization of data pipelines that ingest, normalize, and transform clinical data from diverse EHR and payer systems. If this resonates with you, we invite you to bring your creativity, energy, and curiosity to Waymark. Key Responsibilities EHR & Partner Integrations Architect production-grade data pipelines that integrate clinical data through multiple channels—direct EHR connections (e.g., Epic, Cerner, Athenahealth), health information exchanges (HIEs), health alliance networks, and third-party integration vendors—via FHIR R4 APIs, HL7v2 feeds, CCDA documents, and bulk data exports, while enforcing healthcare standards and clinical terminologies (ICD-10, SNOMED CT, LOINC, RxNorm), targeting sub-hour latency from clinical event to actionable insight and ≥99.9% pipeline reliability Lead end-to-end integration efforts with health plan partners, HIEs, health alliance networks, provider organizations, and data integration vendors—owning partner technical evaluation, connectivity, data mapping, validation, and production rollout Data Platform & Tooling Build and optimize cloud-native data infrastructure (AWS) and ETL/ELT workflows using modern orchestration tools (e.g., Step Functions, dbt) with robust data quality monitoring and lineage tracking Develop reusable backend frameworks, libraries, and internal tooling that accelerate onboarding of new data sources—whether direct EHR feeds, HIE connections, or vendor integrations—with the goal of reducing new-partner integration time by 50% or more while improving developer productivity and reducing operational toil across engineering ML/AI Enablement & Product Collaboration Partner with data science and data analytics teams to build and operationalize the data foundations for predictive risk scores, care gap identification, clinical alerting, and patient outreach prioritization Collaborate with product and clinical teams to translate care delivery requirements into scalable, production-grade technical solutions and influence. Security & Compliance Ensure all data systems comply with HIPAA, HITECH, and applicable privacy regulations, implementing access controls, audit logging, encryption, and de-identification processes for PHI Leadership & Mentorship Provide technical leadership and mentorship to engineers across Waymark, raising the bar on healthcare data best practices. Qualifications Must-have Significant software engineering experience with substantial focus on healthcare data engineering or EHR integration (Senior: 5+ years; Principal: 8+ years). Expert-level proficiency in Python ( required ) and experience in at least one compiled or concurrent language ( such as Elixir) Deep understanding of distributed systems, cloud computing, and backend system design: API architecture (REST), microservices, event-driven systems, message queues (RabbitMQ), caching strategies, and distributed systems patterns Strong background in data modeling, schema design, performance optimization, and both relational (PostgreSQL) and columnar/analytical databases (Redshift) Experience with containerization and orchestration technologies (e.g., Docker (required), Kubernetes) Design data integration systems resilient to inconsistent, incomplete, and delayed clinical data across heterogeneous EHRs and payer systems either directly or through HIEs, health alliance networks, or integration vendors, using FHIR APIs, HL7v2 interfaces, or CCDA parsing Strong experience in mapping/normalizing healthcare standards such as ICD-10, SNOMED CT, LOINC, RxNorm Strong communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences Additional Expectations for Principal (L4) Demonstrated track record of setting technical direction for complex platforms and influencing engineering strategy across multiple teams. Comfort operating as a principal IC with broad influence and without direct reports—shaping roadmaps, standards, and architectural decisions. History of leading the most ambiguous or highest-risk integration efforts end-to-end, including partner-facing technical leadership. Nice-to-have Advanced degree in Computer Science, Software Engineering, or a related field Experience working in value-based care, population health, or Medicaid/Medicare data environments Experience with ML/AI frameworks (TensorFlow, PyTorch) and MLOps practices for healthcare applications Hiring Range US Employees in San Francisco/Bay Area, New York City - $160,000 - $229,000 US Employees in Boston, Los Angeles, Seattle, Washington DC - $147,200 - $211,000 US Employees in Arlington, Denver, San Diego, Sacramento - $140,800 - $201,000 US Employees in Albany, Atlanta, Austin, Baltimore, Central/Southern, Charlotte, Chicago, Dallas/Fort Worth, Detroit, Houston, Las Vegas, Miami, Milwaukee, Philadelphia, Portland, Research Triangle, Salt Lake City, Twin Cities - $128,000 - $183,000 US Employees in Baton Rouge, Birmingham, Charleston, Cincinnati, Cleveland, Daytona Beach, Indianapolis, Nashville, New Orleans, Omaha, Phoenix, Pittsburgh, St. Louis, Tampa - $124,160 - $178,000 In addition to salary, we offer a comprehensive benefits package. Here’s what you can expect: Stock Options: Opportunity to invest in the company’s growth. Work-from-Home Stipend: A dedicated stipend for your first year to help set up your home office. Medical, Vision, and Dental Coverage: Comprehensive plans to keep you and your family healthy. Life Insurance: Basic life insurance to give you peace of mind. Paid Time Off: 20 vacation days, accrued over the year, plus 11 paid holidays. Parental Leave: 16 weeks of paid leave for birthing parents after six months of employment, and 8 weeks of bonding leave for non-birthing parents. Retirement Savings: Access to a 401(k) plan with a company contribution, subject to a vesting schedule. Commuter
Benefits
Convenient options to support your commute needs. Professional Development Stipend: A dedicated stipend supports professional development and growth. Offer of employment is contingent upon successful completion of a background check. Employment history and advance degree verification (when applicable) are included as part of the standard background check process. Don’t check off every box in the requirements listed above? Please apply anyway! Studies have shown that some of us may be less likely to apply to jobs unless we meet every single qualification. Waymark is dedicated to building a supportive, equal opportunity, and accessible workplace that fosters a sense of belonging – so if you’re excited about this role but your past experience doesn’t align perfectly with every preferred qualification in the job description, we encourage you to still consider submitting an application. You may be just the right candidate for this role or another one of our openings!How to Stand Out
- Highlight concrete examples of EHR integrations you built, especially using FHIR or HL7, in your resume and cover letter.
- Include a short portfolio or GitHub repo showing pipeline code, orchestration configs, or data‑quality tooling.
- During interviews, be ready to discuss how you ensured HIPAA compliance in past projects and what specific controls you implemented.
- Emphasize any mentorship experience; Waymark values leaders who raise the bar for the whole engineering team.
- When negotiating, reference the equity component and remote‑work stipend as part of the total compensation package.
- Watch for vague language about “flexible hours” without clear expectations—clarify core collaboration windows with the team.
- Prepare a brief case study on how you reduced integration time for a new partner, focusing on the technical steps you took.
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