Client Engineer I — Healthcare Analytics (Hybrid)

Ultipro; Seattle, Northern (WA, KY); Hybrid; USD 80,000 - 109,000; Full time

Benefits offered by this job

Medical, Dental and Vision – Coverage

401(k) Plan

Discretionary Bonus Program

Paid Time Off

Holidays

Family Building Benefits

Paid Parental Leave

Life Insurance & AD&D

Short-Term and Long-Term Disability

Job summary

MedInsight, a Milliman subsidiary, seeks a Client Engineer I to support client implementations and deliver high-quality technical support. You’ll work in an AI-assisted delivery environment, writing SQL and Python, validating data, and contributing to analytics use cases.

Ideal candidates have 0–2 years in healthcare analytics or data engineering, familiarity with dimensional modeling, and a collaborative, consulting mindset.

Qualifications

• 0–2+ years’ experience as a healthcare analyst, data engineer, or similar role
• 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

Responsibilities

• Support data ingestion, validation, and configuration for client implementations.
• Contribute to and maintain the client code base using SQL and Python.
• Evaluate data quality, document findings, and report impact.
• Assist in building and maintaining dimensional models for analytics use cases.
• Learn and follow MedInsight testing and release standards.
• Use AI-assisted development tools responsibly while ensuring outputs are verified.
• Communicate clearly with internal stakeholders and contribute to client-facing docs and updates.

Skills

SQL

Python

Data ingestion

Data validation

Dimensional modeling

Git

Healthcare data

Consulting mindset

Communication

Tools

Git

SQL

Python

Job description

MedInsight, a Milliman subsidiary, seeks a Client Engineer I to support client implementations and deliver high-quality technical support. You’ll work in an AI-assisted delivery environment, writing SQL and Python, validating data, and contributing to analytics use cases.

Ideal candidates have 0–2 years in healthcare analytics or data engineering, familiarity with dimensional modeling, and a collaborative, consulting mindset.