Staff Data Engineer, Data Platform - IntelliScript (Remote)

What We Do

Milliman IntelliScript is a group of a few hundred experts in fields ranging from actuarial science to information technology to clinical practice. Together, we develop and deploy category-defining, data-driven, software-as-a-service (SaaS) products for a broad spectrum of insurance, health IT and life sciences clients. We are a business unit within Milliman, Inc., a respected consultancy with offices around the world.

IntelliScript attracts top candidates with its innovative, collaborative, and entrepreneurial atmosphere focused on excellence, outstanding customer service, balance, and transparency. Everyone's opinion counts here, and we motivate each other to explore our full and varied potential. Our steady growth means there are ongoing opportunities for you to expand your skills, take on new responsibilities, and advance in your career.

Our team is smart, down-to-earth, and ready to listen to your best ideas. We reward excellence and offer competitive compensation and benefits.

Milliman invests in skills training and career development and gives all employees access to a variety of learning and mentoring opportunities. Our growing number of Milliman Employee Resource Groups (ERGs) are employee-led communities that influence policy decisions, develop future leaders, and amplify the voices of their constituents.

What this position entails

IntelliScript's Data has been a key part of our success and is critical to our future. In this position, you will be a trusted advisor across leadership and engineering teams, responsible for technical decisions. You will ensure data systems work together across our hybrid environments with a focus on scale and performance. You will lead technical and architecture decisions in collaboration with architecture and data engineering teams while ensuring compliance with industry-leading data privacy standards.

What you will be doing

• Acts as a subject matter expert and thought leader within the Data Platform Domain.
• Data Strategy: Serves as a thought leader in data processing design and implementation, defining advanced structure for moving, storing, and maintaining high-quality data.
• Team Leadership: Leads projects by managing timelines, coordinating teams, and communicating project statuses. Influences organizational direction through effective leadership and strategic collaboration.
• Data Governance and Security: Serves as a subject matter expert on governance standards, continuously aligning data practices with evolving industry best practices and requirements.
• Project Management and Scope of Work: Contributes to defining the overall vision and strategy for data engineering within the organization.
• Results Orientation: Establishes visionary goals, advises on strategic plans, employs advanced monitoring, and delivers transformative results.
• Data Platform: Expansion of our Data Warehouse(s) and Lakehouse solutions for a healthcare data-focused enterprise.
• Data Governance: Configuring and maintaining unity catalog to enable enterprise data lineage, data quality, auditability, and data stewardship.
• Data Security: Building out Data Security protocols and best practices including the management of identified and de-identified (PHI/PII) solutions.
• Access Management: Always ensure a policy of least privilege is followed for anything being implemented.
• External Data Products: Building data solutions for clients while upholding the best standards for reliability, quality, and performance.
• ETL: Building solutions within Delta Live Tables and automation of transformations.
• Medallion Architecture: Building out performant enterprise-level medallion architecture(s).
• Streaming and Batch Processing: Building fit-for-purpose near real-time streaming and batch solutions.
• Large Data Management: Building out performant and efficient enterprise solutions for internal and external users for both structured and unstructured healthcare data.
• Platform Engineering: Building out Infrastructure as Code using Terraform and Asset Bundles.
• Costs: Working with the business to build cost-effective and cost-transparent Data solutions.
• Pipeline/ETL Management: Architect, build, and maintain robust and scalable data pipelines, monitoring, and optimizing performance.
• Experience working with migration tools (e.g., Fivetran), AWS technologies, and custom solutions.
• Identify and implement improvements to enhance data processing efficiency.
• Design and implement reliable and resilient Event-Driven data processing.
• Experience with building out effective pipeline monitoring solutions.
• Build the infrastructure required for optimal extraction, transformation, and loading of data using SQL, Delta Live Tables, Python, Scala, and cloud-based 'big data' technologies.
• API Development: Drive our design and implementation of internal APIs for integrating data between different systems and applications.
• Data Modeling: Lead design, implementation, and maintenance of standards-based (FHIR, OMOP, etc.) and efficient data models.
• Collaboration: Partner internally and externally with key stakeholders to ensure we are providing meaningful, functional, and valuable data.
• Processes and Tools: Identify, design, and implement internal process improvements.

What we need

• 15+ years of relevant experience in design, development, and testing of Data Platform solutions.
• Expert-level experience working in Databricks and AWS.
• Expert-level experience working in both relational and non-relational databases (SQL Server, PostgreSQL, DynamoDB, DocumentDB).
• Experience managing and standardizing clinical data from structured and unstructured sources.
• Expert knowledge in healthcare standards including FHIR, C-CDA, and traditional HL7.
• Expert knowledge in clinical standards/ontologies including ICD10/SNOMED/NDC/LOINC/Rx Norm.
• Expert in building out data models, data warehouses, and designing data lakes.
• Familiarity with designing and building APIs, ETL, and data ingestion processes.
• Experience in performance tuning, query optimization, security, monitoring, and release management.
• Experience with building and deploying IAC using Terraform, asset bundles, and GitHub.
• Experience collaborating with Data Science teams and building AI-based solutions.

What you bring to the table

• Demonstrated "let's find a way to do it" attitude.
• Effective collaboration and communication across multiple technical and non-technical disciplines.
• Comfortable working through ambiguous situations.
• Able to teach & mentor others on new/emerging technologies.
• Customer-obsessed with a business-centric focus.
• Able to understand both strategic and tactical needs and balance appropriately.
• Driven, thorough, and self-directed.
• Able to lead through influence and persuasion.
• Curiosity to explore industry trends.

Wish list

• Bachelor's or master's degree in computer science, data engineering, or related field.
• Health and Life Insurance business experience.
• Professional-level solution architecture certification in AWS.

Location

The expected application deadline for this job is June 30, 2026. This position is open to remote work. Applicants must be willing to travel to the Milliman office in Brookfield, WI as needed and travel nationwide for meetings, conferences, and team events.

Compensation

The overall salary range for this role is $131,600 - $249,780.

• For candidates residing in: Alaska, California, Connecticut, Illinois, Maryland, Massachusetts, New Jersey, New York City, Pennsylvania, Virginia, Washington, or the District of Columbia the salary range is $151,340 - $249,780.
• All other locations: $131,600 - $217,200.

Benefits

We offer a comprehensive benefits package including:

• Medical, Dental, and Vision coverage.
• Employee Assistance Program (EAP).
• 401(k) Plan with company matching and profit-sharing.
• Discretionary Bonus Program.
• Flexible Spending Accounts (FSA).
• Paid Time Off (PTO) and 10+ paid holidays.
• Family Building Benefits and Paid Parental Leave.
• Life Insurance, AD&D, and Disability coverage.

Equal Opportunity

All qualified applicants will receive consideration for employment, without regard to race, color, religion, sex, sexual orientation, national origin, disability, or status as a protected veteran.