--- title: 'Associate Director, Data Engineering at MCG Health' canonical: 'https://feeny.ai/job/associate-director-data-engineering-mcg-health-seattle-x9jk2x0456dj' type: 'job' last_seen: '2026-10-17' --- # Associate Director, Data Engineering at MCG Health - **Company:** MCG Health - **Location:** Seattle, WA - **Work type:** remote - **Posted:** 2026-10-01 - **Last confirmed live:** 2026-10-17 - **Apply:** https://job-boards.greenhouse.io/mcghealth/jobs/8853796002 ## Job description At MCG, we lead the healthcare community to deliver patient-focused care. We have a mission-driven team of talented physicians and technical experts developing our evidence-based content and innovating our products to accelerate improvements in healthcare. If you are driven to enhance the US healthcare system, MCG is eager to have you join our team. We cultivate a work environment that nurtures personal and professional growth, and this is a thrilling time to become a part of our organization. With dynamic roles that offer meaningful impact, you'll be able to fully realize your potential. Plus, you'll enjoy world-class benefits and the security, stability, and resources of our parent company, Hearst, with over 100 years of experience. MCG develops evidence-based guidelines that help patients get the right care across healthcare settings. Our Data Science team combines AI with the expertise of our clinical editors and guidelines to improve the efficiency and accuracy of documentation workflows. We bring deep experience applying natural language processing to clinical data and are expanding what reliable, explainable agentic workflows can do. As Associate Director, Data Engineering, you will shape the data foundation behind MCG’s AI products. You will partner with Product Managers, Software Engineers, and Data Scientists to build and operate the platform that moves data from ingestion to trusted datasets and actionable insights. Your work will help scientists improve our products, inform our AI roadmap, and give teams clearer ways to make data-informed decisions. This role spans platform engineering, data operations, analytics, and emerging agentic workflows, with room to shape how this capability grows. You Will - Partner with Product Managers and customers to understand needs, translate them into requirements, and design end-to-end data and insights solutions for AI features. - Grow and maintain the data platform that supports MCG’s AI work, connecting data ingestion, transformation, governance, and delivery into dependable workflows. - Develop and maintain high-quality, well-governed datasets that Data Scientists can use to build, evaluate, and continuously improve AI products. - Use MCG’s data to identify patterns, opportunities, and customer-relevant insights that can inform product decisions and the AI roadmap. - Create and maintain clear, dynamic dashboards that help partners across the business understand performance and make data-informed decisions. - Apply strong data operations and software engineering practices to improve the quality, reliability, repeatability, and usability of data pipelines and platform capabilities. - Collaborate across Product, Engineering, and Data Science to clarify tradeoffs, surface data risks early, and deliver solutions that meet technical and business needs. Our Tech Stack - Python, C#, C++ - Databricks - Flyte, Tableau, Power BI - Azure, AWS ## What We’re Looking For - At least 10+ years of experience in data engineering, data science, or a related field. - Demonstrated experience building, maintaining, or growing data platforms that support AI or machine learning products. - Strong data operations and software engineering skills, including experience designing reliable data workflows and production-ready pipelines. - A clear understanding of the machine learning lifecycle and how dependable data supports model development and ongoing product improvement. - Experience working with governed data lakes and applying sound practices for data quality, organization, and access. - Ability to turn product, customer, and scientific needs into practical technical data solutions. - Excellent written communication and collaboration skills, with the ability to explain data concepts and recommendations to varied audiences. ## Preferred Qualifications - Experience with deep learning, natural language processing, or other applied AI methods. - Experience working with healthcare or clinical data. Pay Range: $192,00 - $269,000 Other compensation: Bonus Eligible Location: Seattle Preferred Perks & Benefits: 💻  Remote Work/Hybrid Work ✈️ Travel expected 1–3 times per year for company-sponsored events 🩺 Medical, dental, vision, life, and disability insurance 📈 401K retirement plan; flexible spending and health savings account 🏝️ 15 days of paid time off + additional front-loaded personal days 🏖️ 14 company-recognized holidays + paid volunteer days 👶 up to 8 weeks of paid parental leave + 10 weeks of paid bonding leave 🌈 LGBTQ+ Health Services 🐶 Pet insurance 📣 Check out more of our benefits here: https://www.mcg.com/about/careers/benefits/ All roles at MCG are expected to engage in occasional travel to participate in team or company-sponsored events for the purposes of connection and collaboration. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Note on interviews: We may use AI tools to audio-record and transcribe interviews for note-taking purposes. These are used only by our hiring team and do not make decisions on their own. Let us know if you prefer an alternative. All roles at MCG are expected to engage in occasional travel to participate in team or company-sponsored events for the purposes of connection and collaboration. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Note on interviews: We may use AI tools to audio-record and transcribe interviews for note-taking purposes. These are used only by our hiring team and do not make decisions on their own. Let us know if you prefer an alternative. MCG is a leading healthcare organization dedicated to patient-focused care. We value our employees' unique differences and are an Equal Employment Opportunity (EEO) employer. Our diverse workforce helps us achieve our goal of providing the right care to everyone. We welcome all qualified applicants without regard to race, religion, nationality, gender, sexual orientation, gender identity, age, marital status, veteran status, disability, pregnancy, parental status, genetic information, or political affiliation. We are committed to improving equity in healthcare and believe that a diverse workplace fosters curiosity, innovation, and business success. We are happy to provide accommodations for individuals. Please let us know if you require any support. ## About MCG Health ## Company Overview - **One-liner**: MCG Health provides evidence-based clinical guidelines and AI-powered software solutions to help healthcare professionals make confident, accurate decisions to improve patient care and operational efficiency. - **Entity Type**: Private (Subsidiary of Hearst Health) - **Headquarters**: Seattle, Washington, USA - **Founded**: 1986 (as Milliman Care Guidelines; acquired by Hearst in 2012) - **Founders**: Not publicly available (originally a division of Milliman) ## Core Business - **Primary industry**: Healthcare IT / Clinical Decision Support - **Target customers**: B2B – Hospitals, health plans, government agencies (state & federal), workers’ compensation groups, and third-party administrators. - **Mission**: We lead the healthcare community to deliver patient-focused care. - **Vision**: Everyone gets the right care. ## Products & Services - **Evidence-Based Care Guidelines**: The company’s core product – unbiased, annually updated clinical guidelines covering medical necessity, level of care, and length of stay. Developed through rigorous review of current scientific literature. - **MCG Software Platform**: A technology suite that integrates with EHRs and medical management systems to automate utilization management, case management, and prior authorization workflows. - **AI Solutions**: Artificial intelligence tools designed to improve efficiency in case management and authorization processes, built on top of MCG’s clinical guidelines. - **ODG by MCG**: Evidence-based guidelines for workers’ compensation and disability management. - **Analytics & Reporting**: Robust data analytics to help clients track and improve clinical and financial outcomes. ## Market Standing - **Valuation/Market Cap**: Not disclosed (privately held by Hearst Health). - **Key Metric**: MCG’s care guidance reaches over **200 million people** annually. Licensed by **thousands of hospitals**, a **majority of U.S. health plans**, and many state/federal government agencies. - **Notable Investors/Partners**: Hearst Health (parent company), Milliman (strategic partner). - **Growth Signals**: - Named one of **Glassdoor’s Best Places to Work** (2024). - Named one of **Newsweek’s America’s Greatest Midsize Workplaces in Health Care** (2026). - Becker’s Hospital Review **150 Top Places to Work in Healthcare** (2024, 2018). - President Jon Shreve named one of **Glassdoor’s Top 50 CEOs** (2018). - Recognized with **KLAS Points of Light Award** (2023) and **HL7 Da Vinci Community Champion** awards (2021, 2022, 2023). ## Competitive Advantages - **Unbiased, independent ownership**: As part of Hearst Health and not owned by a payer or provider, MCG can provide an unbiased review of clinical evidence, free from specialty group or payer/provider bias. - **Trusted “Source of Truth”**: Widely recognized as the industry standard for clinical decision support, used by a majority of U.S. health plans and thousands of hospitals. - **Combination of Guidelines + AI**: While competitors focus solely on AI automation, MCG uniquely combines clinically sound evidence-based guidelines with AI to increase both efficiency and effectiveness. - **Deep integration**: Solutions can integrate with virtually any EHR or medical management system, creating a seamless workflow. ## Strategic Focus - **Unifying AI and evidence-based guidelines**: MCG believes AI can improve efficiency but that there will always be a need for clinically sound guidelines. Their strategy is to unify both approaches. - **Expanding government and payer reach**: Continued focus on serving state/federal health programs, RACs, MACs, and quality improvement organizations. - **Ethical AI development**: Published a Data Ethics Statement and guiding principles on the use of data and artificial intelligence to mitigate bias. - **Interoperability**: Active participation in HL7 Da Vinci Community to drive standards-based data exchange. ## Why Work Here - **Culture**: MCG emphasizes a culture of **Growth, Belonging, and Collaboration**. They value diverse viewpoints, curiosity, accountability, and helping each other succeed. - **Remote/Hybrid Policy**: Highly flexible **remote and hybrid** working environment. The Seattle office is designed as a “collaboration and innovation” space. Physical offices in **Seattle (HQ)**, **San Diego**, and **Hartford**. - **Perks & Benefits**: - Medical/dental/vision insurance, telemedicine, and pet insurance. - 401(k) with company match. - 8 weeks paid parental leave + 10 weeks paid bonding leave. - 10 paid personal days + 15 days accrued PTO annually + 13 paid holidays. - Tuition reimbursement, e-learning platforms, and monthly lunch/learn series. - **Impact**: Employees are driven by the mission to make a positive impact on the healthcare industry and the lives of patients. - **Recognition**: Consistently ranked as a top workplace by Glassdoor, Newsweek, and Becker’s Hospital Review. ## Sources 1. [MCG Health - Official Website](https://www.mcg.com/) 2. [MCG Health - About Page](https://www.mcg.com/about/) 3. [MCG Health - Careers Page](https://www.mcg.com/about/careers/) 4. [MCG Health - Culture Page](https://www.mcg.com/about/careers/our-culture/) 5. 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