Data Integration Engineer

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Milliman

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1947

🏥 Healthcare

🛡️ Insurance

💼 Consulting

Healthcare • Insurance • Consulting

Milliman is an independent global actuarial and consulting firm founded in 1947 that provides expertise in insurance, healthcare, retirement and employee benefits, risk management, and related financial services. The firm combines actuarial rigor, data science, and technology to deliver consulting, modeling, software, and advisory solutions to public- and private-sector clients addressing challenges such as healthcare costs, market volatility, climate risk, and program design. Milliman operates worldwide with multidisciplinary teams including actuaries, data scientists, clinicians, and software engineers.

📋 Description

• Support the design, development, and implementation of application integrations under the guidance of senior team members • Assist with A2A integrations across cloud-to-cloud, cloud-to-on-premise, and on-premise-to-on-premise scenarios • Help migrate legacy integration processes into a centralized, standardized platform • Assist in gathering and documenting reference data sources and supporting reference and master data management strategies • Build data integration pipelines using modern data engineering tools and practices • Develop and maintain data workflows and automate recurring processes • Build data processing solutions using Azure Data Factory, Boomi, Snaplogic, Workato, or similar tools • Follow data governance, data privacy, and security standards • Support CI/CD pipelines for integration and deployment of data solutions • Collaborate with senior engineers and business and technical teams during a large-scale enterprise transformation

🎯 Requirements

• Bachelor's degree in Computer Science, Information Systems, Data Analytics, or a related field • 3–5 years of experience in application integration, data engineering, or systems engineering • Exposure to Azure Data Factory, Boomi, Snaplogic, Workato, or similar data/application integration tools • Working proficiency with SQL and Python • Experience with relational databases • Foundational experience with data analysis, data profiling, data mapping, and ETL processes • Basic familiarity with CI/CD practices and tools • Ability to translate business requirements into technical specifications • Strong attention to detail and commitment to data quality • Effective verbal and written communication skills • Ability to collaborate across business and technical teams • Ability to manage multiple tasks in a fast-paced project environment and learn quickly • Preferred: exposure to Azure Fabric or other cloud data platforms such as Azure, AWS, or GCP • Preferred: exposure to HRIS, Finance, Legal, or Professional Services Automation systems • Preferred: familiarity with data governance or master data management concepts • Preferred: interest in or coursework related to insurance, risk management, or financial services • Preferred: awareness of regulatory requirements related to data privacy and security