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# Staff Data Engineer, Data Platform - IntelliScript (Remote)

- **Company:** Milliman, Inc.
- **Location:** Brookfield, WI, United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Adobe InDesign, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Audit Trail, Batch Processing, Clinical Data Repository, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Security, Data Systems, Data Warehousing, Amazon DynamoDB, Github, PostgreSQL, Microsoft SQL Server, Performance Tuning, Release Management, Salesforce.Com, Privacy Controls, Data Processing, Real Time Systems, Data Ingestion, Fast Healthcare Interoperability Resources, Data Lakes, Data Lineage, Performance Monitor, Health Level Seven International, Real Time Data, Non-relational Database, Data Delivery, Api Design, Terraform, Data Pipelines, Databricks
- **Published:** August 11, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/staff-data-engineer-data-platform-intelliscript-remote-brookfield-wi-usa-58897542

## About the Role

_ capabilities: expand Data Warehouse(s) and Lakehouse for healthcare data * Configure Unity Catalog for data lineage, quality, auditability, stewardship * Develop data security protocols including PHI/PII handling * Enforce least-privilege access for implementations * Build data solutions for clients with reliability, quality, performance * ETL: implement Delta Live Tables and automate transformations * Advance Medallion Architecture for enterprise-scale data * Develop streaming and batch processing for near real-time data * Manage large, structured and unstructured healthcare data efficiently * Platform Engineering: Infrastructure as Code via Terraform and asset bundles * Collaborate on external data products to meet client needs * Architect, build, and maintain scalable data pipelines with performance monitoring * Integrate with internal APIs and external systems (Salesforce, financials, HR) * Model data: standards-based designs (FHIR, OMOP, ICD10/SNOMED/NDC/LOINC/RxNorm) * aaaaaaaa
and with stakeholders to gather requirements and deliver data solutions * Identify process improvements to automate, optimize, and scale data delivery * Create analytics tools for stakeholders to derive actionable insights Tasks * 15+ years in design, development, and testing of Data Platform solutions (warehouses, lakes, data products) * Expert Databricks and AWS experience * Expert in relational and non-relational databases (SQL Server, PostgreSQL, DynamoDB, DocumentDB) * Experience managing/standardizing clinical data from diverse sources * Experience building solutions on AWS * Expert knowledge of healthcare standards (FHIR, C-CDA, HL7) and clinical ontologies (ICD10, SNOMED, NDC, LOINC, RxNorm) * Expert in data modeling, data warehouses, and data lake design for enterprise/product use cases * Experience designing/building APIs, ETL, and data ingestion * Performance tuning, security, monitoring, release management * Experience with large, identified/de-identified healthcare datasets

* IaC with Terraform, asset bundles, GitHub * Collaboration with Data Science teams and AI-driven initiatives Key requirements * Medical, Dental and Vision coverage * 401(k) with company matching and profit-sharing * Discretionary bonus program * PTO and holidays * Paid Parental Leave up to 11 weeks * Life Insurance & AD&D coverage

## Description

Experteer Overview As Staff Data Engineer, you will shape data platform strategy and architecture for a healthcare-focused data enterprise. You'll lead cross-functional data engineering efforts, ensure scalable, secure data systems, and drive governance in line with privacy standards. You'll collaborate with architecture, data science, and business teams to deliver high-impact data products and APIs. This role offers hands-on influence over data warehouses, lakehouses, and real-time processing at scale, within a collaborative, growth-minded culture. Compensation / Benefits * Act as SME and thought leader within the Data Platform Domain * Define advanced data processing structures for moving, storing, and maintaining high-quality data * Lead projects: timelines, team coordination, communication of status * Governance and security: align practices with industry standards * Contribute to overall data engineering vision and strategy aligned with organizational goals * Drive data platform capabilities: expand Data Warehouse(s) and Lakehouse for healthcare data * Configure Unity Catalog for data lineage, quality, auditability, stewardship * Develop data security protocols including PHI/PII handling * Enforce least-privilege access for implementations * Build data solutions for clients with reliability, quality, performance * ETL: implement Delta Live Tables and automate transformations * Advance Medallion Architecture for enterprise-scale data * Develop streaming and batch processing for near real-time data * Manage large, structured and unstructured healthcare data efficiently * Platform Engineering: Infrastructure as Code via Terraform and asset bundles * Collaborate on external data products to meet client needs * Architect, build, and maintain scalable data pipelines with performance monitoring * Integrate with internal APIs and external systems (Salesforce, financials, HR) * Model data: standards-based designs (FHIR, OMOP, ICD10/SNOMED/NDC/LOINC/RxNorm) * Collaborate with stakeholders to gather requirements and deliver data solutions * Identify process improvements to automate, optimize, and scale data delivery * Create analytics tools for stakeholders to derive actionable insights Tasks * 15+ years in design, development, and testing of Data Platform solutions (warehouses, lakes, data products) * Expert Databricks and AWS experience * Expert in relational and non-relational databases (SQL Server, PostgreSQL, DynamoDB, DocumentDB) * Experience managing/standardizing clinical data from diverse sources * Experience building solutions on AWS * Expert knowledge of healthcare standards (FHIR, C-CDA, HL7) and clinical ontologies (ICD10, SNOMED, NDC, LOINC, RxNorm) * Expert in data modeling, data warehouses, and data lake design for enterprise/product use cases * Experience designing/building APIs, ETL, and data ingestion * Performance tuning, security, monitoring, release management * Experience with large, identified/de-identified healthcare datasets * IaC with Terraform, asset bundles, GitHub * Collaboration with Data Science teams and AI-driven initiatives Key requirements * Medical, Dental and Vision coverage * 401(k) with company matching and profit-sharing * Discretionary bonus program * PTO and holidays * Paid Parental Leave up to 11 weeks * Life Insurance & AD&D coverage


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