Data Engineer (MedInsight)

Posted Yesterday
27 Locations
In-Office or Remote
94K-178K Annually
Mid level
Healthtech • HR Tech • Insurance • Consulting
The Role
Design, build, and optimize scalable Databricks/Spark data pipelines and data models for healthcare analytics. Monitor pipeline health, troubleshoot production issues, enforce data quality and governance, and collaborate with product and analytics teams to deliver performant, cost-efficient data solutions.
Summary Generated by Built In

Individual(s) must be legally authorized to work in the United States without the need for immigration support or sponsorship from Milliman now or in the future.  

Company Overview: 

Leading with our core values of Quality, Integrity, and Opportunity, MedInsight is one of the healthcare industry’s most trusted solutions for healthcare intelligence. Our company purpose is to empower easy, data-driven decision-making on important healthcare questions. Through our products, education, and services, MedInsight is making an impact on healthcare by helping to drive better outcomes for patients while reducing waste. Over 300 leading healthcare organizations have come to rely on MedInsight analytic solutions for healthcare cost and care management. MedInsight has been ranked #1 for Payer Quality Analytics by clients for the last three years in the Best in KLAS report.  

MedInsight is a subsidiary of Milliman; a global, employee-owned consultancy providing actuarial consulting, retirement funding and healthcare financing, enterprise risk management and regulatory compliance, data analytics and business transformation as well as a range of other consulting and technology solutions. 

Position Summary: 

MedInsight’s engineering team is building the next generation of healthcare data analytics. We are seeking a skilled and driven Data Engineer to design, build, and optimize scalable data solutions that power healthcare insights at scale. This role is ideal for someone with experience in modern data platforms, including Databricks, Spark, and cloud technologies, who is eager to take ownership of complex data engineering initiatives and contribute to the evolution of our data ecosystem.

Primary Responsibilities: 

  • Build & Enhance Pipelines: Design, develop, and maintain scalable data pipelines to ingest, transform, and enrich complex healthcare data using Databricks and Spark.
  • Optimize Data Workflows: Analyze and improve data intake processes and optimize SparkSQL/Python workloads for performance, scalability, reliability, and cost efficiency.
  • Design Data Models: Develop and maintain data marts, semantic models, and curated datasets that support analytics products, reporting, and business intelligence initiatives.
  • Ensure Data Quality & Reliability: Monitor pipeline health, troubleshoot production issues, implement data validation frameworks, and maintain high standards for data quality and governance.
  • Collaborate Across Teams: Partner with product, analytics, and engineering teams to understand business requirements and deliver scalable data solutions.
  • Drive Continuous Improvement: Contribute to architecture decisions, engineering standards, automation efforts, and best practices across the data platform.

Required Qualifications:

  • Bachelor's degree in computer science, engineering, information systems, or related field; or equivalent practical experience.
  • 3+ years of experience in data engineering, software engineering, or a related technical field.
  • Strong proficiency in SQL and Python, with experience developing and maintaining production-grade data pipelines.
  • Experience working with large-scale data processing frameworks such as Apache Spark.
  • Strong understanding of relational databases, data modeling, ETL/ELT patterns, and data engineering best practices.
  • Experience troubleshooting and optimizing data workflows for performance and reliability.
  • Strong problem-solving skills, ownership mindset, and ability to collaborate effectively across technical teams.

Preferred Skills:

  • Experience with Databricks in a production environment.
  • Experience building Power BI Semantic Models and supporting analytics use cases.
  • Experience working with Azure or AWS cloud platforms.
  • Familiarity with data orchestration and workflow management tools.
  • Familiarity with AI-assisted development tools, such as Claude Code.
  • Experience working with healthcare data domains such as claims, EMR/EHR, provider, or payer data.
  • Experience mentoring junior engineers or providing technical guidance on projects.

Location

This role can be remote within the U.S. The expected application deadline for this job is July 15, 2026.

Compensation

The overall salary range for this role is $93,700 - $177,675. For candidates residing in:

  • Alaska, California, Connecticut, Illinois, Maryland, Massachusetts, New Jersey, New York City, Pennsylvania, Virginia, Washington, or the District of Columbia the salary range is $107,755 - $177,675.
  • All other locations the salary range is $93,700 - $154,500.

A combination of factors will be considered, including, but not limited to, education, relevant work experience, qualifications, skills, certifications, etc.

What makes this a great opportunity? 

  • Join an innovative, high growth company with a solid industry track record
  • Bring your expertise and ideas to directly impact and help build the next generation of MedInsight products and solutions
  • Enjoy significant visibility in your work and be recognized for your wins
  • Work for a company that values your wellbeing and professional growth, offering a flexible work environment, generous benefits package, and investment in the development of your career

Benefits 

We offer a comprehensive benefits package designed to support employees’ health, financial security, and well-being. Benefits include:

  • Medical, Dental and Vision – Coverage for employees, dependents, and domestic partners
  • Employee Assistance Program (EAP) – Confidential support for personal and work-related challenges
  • 401(k) Plan – Includes a company matching program and profit-sharing contributions.
  • Discretionary Bonus Program – Recognizing employee contributions
  • Flexible Spending Accounts (FSA) – Pre-tax savings for dependent care, transportation, and eligible medical expenses
  • Paid Time Off (PTO) – Begins accruing on the first day of work. Full-time employees accrue 15 days per year, and employees working less than full-time accrue PTO on a prorated basis
  • Holidays – A minimum of 10 paid holidays per year
  • Family Building Benefits – Includes adoption and fertility assistance
  • Paid Parental Leave – Up to 12 weeks of paid leave for employees who meet eligibility criteria
  • Life Insurance & AD&D – 100% of premiums covered by Milliman
  • Short-Term and Long-Term Disability – Fully paid by Milliman

Equal Opportunity

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability, or status as a protected veteran.

#LI-SM1

#LI-REMOTE

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

Skills Required

  • Bachelor's degree in computer science, engineering, information systems, or related field; or equivalent practical experience.
  • 3+ years of experience in data engineering, software engineering, or a related technical field.
  • Strong proficiency in SQL.
  • Strong proficiency in Python.
  • Experience developing and maintaining production-grade data pipelines.
  • Experience working with large-scale data processing frameworks such as Apache Spark.
  • Strong understanding of relational databases, data modeling, ETL/ELT patterns, and data engineering best practices.
  • Experience troubleshooting and optimizing data workflows for performance and reliability.
  • Strong problem-solving skills, ownership mindset, and ability to collaborate effectively across technical teams.
  • Experience with Databricks in a production environment.
  • Experience building Power BI Semantic Models and supporting analytics use cases.
  • Experience working with Azure or AWS cloud platforms.
  • Familiarity with data orchestration and workflow management tools.
  • Familiarity with AI-assisted development tools, such as Claude Code.
  • Experience working with healthcare data domains such as claims, EMR/EHR, provider, or payer data.
  • Experience mentoring junior engineers or providing technical guidance on projects.

Milliman Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Milliman and has not been reviewed or approved by Milliman.

  • Healthcare Strength Core coverage includes subsidized medical, dental, and vision, plus company-paid life, AD&D, and disability. Materials highlight robust health protections as part of the standard package.
  • Retirement Support A 401(k) with matching is paired with profit-sharing contributions described as generous. These features can significantly bolster long-term compensation when contributions are strong.
  • Parental & Family Support Paid parental leave and family-building support (adoption and fertility) are available alongside caregiver and emotional support resources. These programs extend protection beyond core insurance to meet family needs.

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The Company
HQ: Seattle, WA
3,644 Employees
Year Founded: 1947

What We Do

Milliman is among the world’s largest independent actuarial and consulting firms. Founded in Seattle in 1947, Milliman has offices in key locations worldwide. Through consulting practices in employee benefits, healthcare, investment, life insurance and financial services, and property & casualty/general insurance, Milliman serves the full spectrum of business, financial, government, union, education, and nonprofit organizations. In addition to consulting actuaries, Milliman’s body of professionals includes numerous other specialists, ranging from clinicians to economists.

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