Description
The Data Engineer is responsible for designing, building, and maintaining data pipelines and systems that support actuarial modelling, pricing, reserving, and risk analytics.
The role bridges Actuarial Science and Data Engineering by ensuring actuarial models receive accurate, structured, and high-quality data.
Additionally, support reporting through dashboarding.
Core Responsibilities
Data management and processing
- Collect, clean, and validate data
- Design and maintain ETL pipelines for actuarial datasets
- Support data models for health data (policies, claims, exposures)
- Integrate multiple data sources into actuarial data marts
- Engaging with client IT/data teams
Actuarial Data Support
- Prepare data for actuarial modelling and reporting
- Automated validation
- Consistency of data between source and analytical platform
- Documentation
Dashboard development
- Design and maintain interactive dashboards using Tableau, Power BI, etc.
- Reporting: Generate reports and dashboards to communicate findings.
Technical competencies and skills required
- Proficiency in programming – Python, SQL, R, etc.
- Proficiency in business intelligence tools - Tableau, Power BI etc
- Working knowledge and understanding of data platforms SQL Server, Postgres, Databricks or other cloud solutions (AWS, Azure)
- Hands-on experience with ETL tools and data integration processes
- Health insurance data, insurance, reserving, pricing models
- Strong analytical and communication skills, collaboration with actuarial and clinical team members.
Qualifications:
- Degree in Computer Science, Software Engineering, Actuarial Science
- Data Science, Statistics, or related field (analytical field with good conceptual awareness of financial or health insurance data analysis is required where not an actuarial degree).
- 3-5 Years of Experience
Skills Required
- Proficiency in Python
- Proficiency in SQL
- Proficiency in R
- Experience with Tableau
- Experience with Power BI
- Working knowledge of SQL Server
- Working knowledge of Postgres
- Experience with Databricks
- Experience with cloud platforms (AWS or Azure)
- Hands-on experience with ETL tools and data integration processes
- Experience with health insurance data, reserving, and pricing models
- Degree in Computer Science, Software Engineering, Actuarial Science, Data Science, Statistics, or related field
- 3-5 years of relevant experience
- Strong analytical and communication skills
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.
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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.
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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.
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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.
Milliman Insights
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.
