Data and Application Integration Engineer

🕒 March 27

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Milliman

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1947

🤝 B2B

⚕️ Healthcare Insurance

💸 Finance

B2B • Healthcare Insurance • Finance

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

• Design, develop, and implement scalable Application integrations. • Build and support A2A (application-to-application) integrations, including cloud-to-cloud, cloud-to-on-premise, and on-premise-to-on-premise scenarios. • Migrate legacy integration processes into a centralized, standardized platform. • Collaborate with business stakeholders to understand reference data sources and develop strategies for managing reference and master data effectively. • Implement data integration pipelines leveraging modern data engineering tools and practices. • Develop, automate, and maintain data workflows. • Build and optimize data processing solutions using Azure Data Factory (ADF), Boomi, Snaplogic, Workato and related technologies. • Ensure compliance with data governance, data privacy, and security standards. • Support CI/CD pipelines for continuous integration and deployment of data solutions.

🎯 Requirements

• Bachelor’s degree in computer science, Information Systems, Data Analytics, or a related field. • 6+ years of experience in application integration or systems engineering, preferably supporting large-scale system implementations • Experience in data and app integration tools like Azure Data Factory, Boomi, Snaplogic, Workato etc. • Proficiency with SQL, Python and experience working with relational databases. • Strong experience with data analysis, data profiling, data mapping, and ETL processes. • Experience with Fabric Azure cloud platform • Familiarity with CI/CD practices, tools, and automation pipelines.

🏖️ Benefits

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development