Senior Data Engineer; Health Research Team

Job Category: Information Technology

Requisition Number: SENIO
010315

Posted:
April 27, 2026

Full-Time

Remote

09-Chicago
71 S. Wacker Drive 31st Floor
Chicago, IL 60606, USA

Individuals 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.

Milliman’s Health Research Team (HRT) is seeking an enthusiastic and detail‑oriented Senior Data Engineer to join our team, under the guidance of the Senior Manager, Health Data Analytics. In this role, you will design, maintain, and enhance data ETL pipelines, ensuring the smooth ingestion and transformation of data ultimately destined for Databricks. You will primarily work with Python, PySpark, and SQL, using AWS services like EC2 and S3.

Additionally, you will process healthcare data through a variety of Milliman tools.

This role is based out of the Milliman office in Chicago, IL, but candidates hired into this role may work remotely anywhere in the US or in the office on a weekly basis with flexible work arrangements. Travel to Milliman’s Chicago office for three consecutive days each quarter is required.

Who we are:

The HRT supports Milliman products and practices in a variety of capacities. These include but are not limited to financial functions, client support, project management, data engineering, and data analytics services. As a shared service team, we pride ourselves on delivering high quality, timely support to Milliman's clients, consultants, and leadership teams.

• Work closely with key stakeholders to ensure data pipelines meet business objectives and data transformations meet data analyst requirements
• Write, incorporate, and maintain Databricks’ notebook scripts within our standard data and tool processing jobs
• Ensure the integrity of the HRT’s data pipelines, Databricks lakehouse, APIs, and Milliman’s products by conducting in‑depth validation reviews and by applying data governance and retention policies
• Lead comprehensive data pipeline reviews across HRT's data assets, ensuring accuracy, completeness, consistency, and timeliness of healthcare data pipelines and downstream products
• Design, develop, and execute systematic data validation frameworks to identify anomalies, discrepancies, and integrity issues within our data pipelines and product tools
• Investigate and document root causes of data pipeline failures, partnering with data engineering and analytics teams to implement corrective actions and preventive controls
• Establish and maintain data quality metrics, scorecards, and dashboards to monitor ongoing pipeline health and communicate findings to stakeholders at all levels
• Deploy workflows into production environments, ensuring robust operation, monitoring performance, and promptly addressing any pipeline issues, to maintain reliability and stability
• Collaborate with other HRT data analytics, engineering, and project management professionals to identify, propose, and implement process enhancements
• Assist in developing ad hoc data workflows, which support Health Research Board (HRB) approved initiatives and Milliman practice client projects
• Provide support to Milliman’s practices via our help desk system by answering a variety of questions, most often about our data assets and data use policies
• Collaborate with HRT finance, operations, and project management teammates through providing technical and healthcare data expertise
• Communicate progress, status, issues, decisions on a regular cadence

• A bachelor’s degree in Computer / Software Engineering, Computer Science, Information Technology, Electrical Engineering, Data Science, Actuarial Science, or similar fields
• 6+ years of relevant experience in data engineering or related roles, with advanced programming in SQL or Python languages
• Demonstrates a strong capability to consistently produce high quality, accurate deliverables on schedule and effectively communicate progress, outcomes, and recommended next actions
• Four or more years of experience in the following areas:
• Building data pipelines for enrollment, claims (medical or pharmacy), risk scores, or other common…