Client Engineer I
Milliman MedInsight
About the Role
MedInsight is seeking a Client Engineer I to support client implementations and deliver ongoing technical support and solutioning. This role is ideal for individuals early in their healthcare analytics career looking to grow into a technical expert or client-facing consultant. Client Engineers at MedInsight operate in an AI-assisted delivery environment, emphasizing engineering discipline (testing, review, documentation, and data governance). Clear and concise communication is as important as coding and analytical skills.
Key Responsibilities
- Support technical components of client implementations, including data ingestion, validation, and configuration.
- Contribute to and maintain the client codebase using SQL and python.
- Evaluate data quality, document findings, and report on their impact.
- Assist in building and maintaining dimensional models for analytics use cases.
- Learn and adhere to MedInsight standards for testing and release practices.
- Responsibly utilize AI-assisted development tools to accelerate delivery (e.g., draft SQL, generate test cases, summarize findings), ensuring outputs are verified and compliant.
- Communicate clearly with internal stakeholders.
- Contribute to client-facing documentation and status updates.
Requirements & Tech Stack
- SQL
- python
- Git
- AI-assisted development tools
Qualifications
- 0–2+ years of experience as a healthcare analyst, data engineer, or similar role.
- Strong SQL fundamentals.
- Familiarity with dimensional modeling concepts.
- Experience (academic or professional) with source control (Git) and collaborative development.
- Interest in healthcare data.
- Consulting mindset: curiosity, structured problem-solving, and a commitment to clear communication.
Location: Seattle, Washington or Milwaukee, Wisconsin (hybrid schedule, minimum 2 days in office per week)
Compensation ranges are provided for Washington state residents ($80,168 - $109,020) and Wisconsin state residents ($59,200 - $94,800), based on factors including education, experience, qualifications, skills, and certifications.