{"id":3278122,"url":"https://alion.io/job/milliman-staff-data-engineer-data-platform-intelliscript-remote","title":"Staff Data Engineer, Data Platform - IntelliScript (Remote)","company":{"id":1764138,"name":"Milliman","domain":"milliman.com","url":"https://alion.io/company/milliman","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"UltiPro","truth_index":{"grade":"B","score":80,"open_postings":10,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":5,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":131600,"max":249780,"currency":"USD","period":"year","gross":null,"usd_annual":249780},"salary_estimate":null,"experience_years_min":15,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon DocumentDB","optional":false},{"name":"AWS","optional":false},{"name":"Databricks","optional":false},{"name":"DynamoDB","optional":false},{"name":"ETL/ELT","optional":false},{"name":"FHIR","optional":false},{"name":"Fivetran","optional":false},{"name":"GitHub","optional":false},{"name":"HL7","optional":false},{"name":"Least Privilege","optional":false},{"name":"Platform Engineering","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-08-10T13:20:12Z","employer_posted_date":"2026-08-10","last_verified_at":"2026-10-30T04:02:33Z","board_verified":true,"closed_at":null,"days_open":80,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":80},"description":"What We Do\nMilliman 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.\nIntelliScript 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.\nOur team is smart, down-to-earth, and ready to listen to your best ideas. We reward excellence and offer competitive compensation and benefits. Visit our LinkedIn page for a closer look at our company, and learn more about our cultural values here.\nMilliman 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. We encourage our employees to give back to their varied professions, including leadership in professional organizations. Please visit our website to learn more about Milliman’s commitments to our people, diversity and inclusion, social impact, and sustainability.\nWhat this position entails\nIntelliScript’s Data has been a key part of our success and is critical to our future. In this position as a Staff Data Engineer of IntelliScript’s Data Platform, you will be a trusted advisor across leadership and engineering team, 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.\nWhat you will be doing\nActs as a subject matter expert and thought leader within the Data Platform Domain\nData Strategy: Serves as a thought leader in data processing design and implementation, defining advanced structure for moving, storing, and maintaining high-quality data.\nTeam Leadership: Leads projects by managing timelines, coordinating teams, and communicating project statuses. Influences organizational direction through effective leadership and strategic collaboration\nData Governance and Security: Serves as a subject matter expert on governance standards, continuously aligning data practices with evolving industry best practices and requirements\nProject Management and Scope of Work: Contributes to defining the overall vision and strategy for data engineering within the organization, ensuring alignment with organizational goals and long-term objectives\nResults Orientation: Establishes visionary goals, advises on strategic plans, employs advanced monitoring, influences high-level stakeholders, and delivers transformative results\n Data Platform: Expansion of our Data Warehouse(s) and Lakehouse solutions for a healthcare data focused enterpriseData Governance: Configuring and maintaining unity catalog to enable enterprise data lineage, data quality, auditability and data stewardship\n Data Security: Building out Data Security protocols and best practices including the management of identified and de-identified (PHI/PII) solutions\nAccess Management: Always ensure a policy of least privilege is followed for anything being implemented\nExternal Data Products: Building data solutions for clients while upholding the best standards for reliability, quality, and performance\nETL: Building solutions within Delta Live Tables and automation of transformations\n Medallion Architecture: Building out performant enterprise-level medallion architecture(s)\nStreaming and Batch Processing: Building fit-for-purpose near real-time streaming and batch solutions\nLarge Data Management: Building out performant and efficient enterprise solutions for internal and external users for both structured and unstructured healthcare data\nPlatform Engineering: Building out Infrastructure as Code using Terraform and Asset Bundles\nCosts: Working with the business to build cost effective and cost transparent Data solutions\n\nPipeline/ETL Management: You will help architect, build, and maintain robust and scalable data pipelines, monitoring, and optimizing performanceExperience working with Migration tools i.e. Fivetran, AWS technologies and custom solutions\nIdentify and implement improvements to enhance data processing efficiency\nDesign and implement reliable and resilient Event Driven data processing\nExperience with building out effective pipeline monitoring solutions\nBuild the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Delta Live Tables, Python, Scala, and cloud-based ‘big data’ technologies\n\nAPI Development: Drive our design and implementation of internal APIs for integrating data between different systems and applicationsIntegration with external systems utilizing API driven processes to ingest data\nDevelop APIs built on top of datasets for internal systems to consume data from Databricks\nExperience integrating with external APIs including but not limited to Salesforce, Financial systems, HR systems and other external systems\n\n Data Modeling: Lead design, implementation, and maintenance of standards based (FHIR, OMOP, etc.) and efficient data models for both structured and unstructured dataAssemble large, complex data sets that meet functional and non-functional business requirements\nDevelop and maintain data models, ensuring they align with business objectives and data privacy regulations\n\nCollaboration: Partner internally and externally with key stakeholders to ensure we are providing meaningful, functional, and valuable dataEffectively work with Data, Development, Analysts, Data Science, and Business team members to gather requirements, propose, and build solutions.\nCommunicate complex technical concepts to non-technical stakeholders and provide guidance on best practices.\nEnsure that technology execution aligns with business strategy and provides efficient, secure solutions and systems\nGather requirements and build out project plans to implement those requirements with forecasted efforts to implement\n\nProcesses and Tools: Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.Build analytics tools that utilize the data pipeline to provide actionable insights into operational efficiency and other key business performance metrics.\nCreate data tools for clinical, analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.\nLead investigation of new tooling, develop implementation plans, and deployment of necessary tooling\n\nWhat we need\n15+ years of relevant experience in design, development, and testing of Data Platform solutions, such as Data Warehouses, Data Lakes, and Data Products\nExpert level experience working in Databricks and AWS\nExpert level experience working in both relational and non-relational databases such as SQL Server, PostgreSQL, DynamoDB, DocumentDB\nExperience managing and standardizing clinical data from structured and unstructured sources\nExperience building and managing solutions on AWS\nExpert knowledge in healthcare standards including FHIR, C-CDA, and traditional HL7\nExpert knowledge in clinical standards/ontologies including ICD10/SNOMED/NDC/LOINC/Rx Norm\nExpert in building out data models, data warehouses, designing of data lakes for enterprise and product use cases\nFamiliarity with designing and building APIs, ETL and data ingestion processes and utilization of tools to support enterprise solutions\nExperience in performance tuning, query optimization, security, monitoring, and release management\nExperience working with and managing large, disparate, identified and de-identified data sets from multiple data sources\nExperience with building and deploying IAC using terraform, asset bundles and GitHub\nExperience collaborating with Data Science teams and building AI based solutions to drive efficiencies and business value\nWhat you bring to the table\nDemonstrated “let’s find a way to do it” attitude - no task is too big or too small\nEffective collaboration and communication across multiple technical and non-technical disciplines\nComfortable working through ambiguous situations\nAble to teach & mentor others on new/emerging technologies\nCustomer obsessed with a business-centric focus\nAble to understand both strategic and tactical needs and balance appropriately\nDriven, thorough and self-directed\nAble to lead through influence and persuasion\nCuriosity to explore industry trends and drive the organization to utilize fit for purpose solutions\nWish list\nBachelor's degree or master's degree in computer science, data engineering or related field\nHealth and Life Insurance business experience\nProfessional level solution architecture certification in AWS\nLocation\nThe expected application deadline for this job is November 30, 2026. This position is open to remote work anywhere in the US. Applicants must be willing to travel to the Milliman office in Brookfield, WI as needed and travel nationwide for meetings, conferences, and team events.\nCompensation\nThe overall salary range for this role is $131,600 - $249,780. For candidates residing in:\nAlaska, 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.\nAll other locations the salary range is $131,600 - $217,200.\nA combination of factors will be considered, including, but not limited to, education, relevant work experience, qualifications, skills, certifications, etc.\nBenefits\nWe offer a comprehensive benefits package designed to support employees’ health, financial security, and well-being. Benefits include:\nMedical, Dental and Vision - Coverage for employees, dependents, and domestic partners\nEmployee Assistance Program (EAP) - Confidential support for personal and work-related challenges\n401(k) Plan - Includes a company matching program and profit-sharing contributions\nDiscretionary Bonus Program - Recognizing employee contributions\nFlexible Spending Accounts (FSA) - Pre-tax savings for dependent care, transportation, and eligible medical expenses\nPaid Time Off (PTO) - Begins accruing on the first day of work. Full-time employees accrue 15 days per year, and employees working less than full-time accrue PTO on a prorated basis\nHolidays - A minimum of 10 paid holidays per year\nFamily Building Benefits - Includes adoption and fertility assistance\nPaid Parental Leave - Up to 11 weeks of paid leave for employees who meet eligibility criteria\nLife Insurance & AD&D - 100% of premiums covered by Milliman\nShort-Term and Long-Term Disability - Fully paid by Milliman\nEqual Opportunity\nAll 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.\n#LI-REMOTE & 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