Note: The job is a remote job and is open to candidates in USA. Milliman is a respected consultancy with a focus on developing data-driven SaaS products for insurance and health IT clients. The Staff Data Engineer will be responsible for leading technical decisions and ensuring data systems work effectively across hybrid environments, focusing on scale and performance.
Responsibilities
- Acts as a subject matter expert and thought leader within the Data Platform Domain
- Serves as a thought leader in data processing design and implementation, defining advanced structure for moving, storing, and maintaining high-quality data
- Leads projects by managing timelines, coordinating teams, and communicating project statuses
- Influences organizational direction through effective leadership and strategic collaboration
- Serves as a subject matter expert on governance standards, continuously aligning data practices with evolving industry best practices and requirements
- Contributes to defining the overall vision and strategy for data engineering within the organization, ensuring alignment with organizational goals and long-term objectives
- Establishes visionary goals, advises on strategic plans, employs advanced monitoring, influences high-level stakeholders, and delivers transformative results
- Expansion of our Data Warehouse(s) and Lakehouse solutions for a healthcare data focused enterprise
- Configuring and maintaining unity catalog to enable enterprise data lineage, data quality, auditability and data stewardship
- Building out Data Security protocols and best practices including the management of identified and de-identified (PHI/PII) solutions
- Always ensure a policy of least privilege is followed for anything being implemented
- Building data solutions for clients while upholding the best standards for reliability, quality, and performance
- Building solutions within Delta Live Tables and automation of transformations
- Building out performant enterprise-level medallion architecture(s)
- Building fit-for-purpose near real-time streaming and batch solutions
- Building out performant and efficient enterprise solutions for internal and external users for both structured and unstructured healthcare data
- Building out Infrastructure as Code using Terraform and Asset Bundles
- Working with the business to build cost effective and cost transparent Data solutions
- You will help architect, build, and maintain robust and scalable data pipelines, monitoring, and optimizing performance
- Experience working with Migration tools i.e. 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 from a wide variety of data sources using SQL, Delta Live Tables, Python, Scala, and cloud-based ‘big data’ technologies
- Drive our design and implementation of internal APIs for integrating data between different systems and applications
- Integration with external systems utilizing API driven processes to ingest data
- Develop APIs built on top of datasets for internal systems to consume data from Databricks
- Experience integrating with external APIs including but not limited to Salesforce, Financial systems, HR systems and other external systems
- Lead design, implementation, and maintenance of standards based (FHIR, OMOP, etc.) and efficient data models for both structured and unstructured data
- Assemble large, complex data sets that meet functional and non-functional business requirements
- Develop and maintain data models, ensuring they align with business objectives and data privacy regulations
- Partner internally and externally with key stakeholders to ensure we are providing meaningful, functional, and valuable data
- Effectively work with Data, Development, Analysts, Data Science, and Business team members to gather requirements, propose, and build solutions
- Communicate complex technical concepts to non-technical stakeholders and provide guidance on best practices
- Ensure that technology execution aligns with business strategy and provides efficient, secure solutions and systems
- Gather requirements and build out project plans to implement those requirements with forecasted efforts to implement
- 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
- Create data tools for clinical, analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
- Lead investigation of new tooling, develop implementation plans, and deployment of necessary tooling
Skills
- 15+ years of relevant experience in design, development, and testing of Data Platform solutions, such as Data Warehouses, Data Lakes, and Data Products
- Expert level experience working in Databricks and AWS
- Expert level experience working in both relational and non-relational databases such as SQL Server, PostgreSQL, DynamoDB, DocumentDB
- Experience managing and standardizing clinical data from structured and unstructured sources
- Experience building and managing solutions on AWS
- 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, designing of data lakes for enterprise and product use cases
- Familiarity with designing and building APIs, ETL and data ingestion processes and utilization of tools to support enterprise solutions
- Experience in performance tuning, query optimization, security, monitoring, and release management
- Experience working with and managing large, disparate, identified and de-identified data sets from multiple data sources
- Experience with building and deploying IAC using terraform, asset bundles and GitHub
- Experience collaborating with Data Science teams and building AI based solutions to drive efficiencies and business value
- Demonstrated “let's find a way to do it” attitude – no task is too big or too small
- 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 and drive the organization to utilize fit for purpose solutions
- Bachelor's degree 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
Benefits
- Medical, Dental and Vision – Coverage for employees, dependents, and domestic partners
- Employee Assistance Program (EAP) – Confidential support for personal and work-related challenges
- 401(k) Plan – Includes a company matching program and profit-sharing contributions
- Discretionary Bonus Program – Recognizing employee contributions
- Flexible Spending Accounts (FSA) – Pre-tax savings for dependent care, transportation, and eligible medical expenses
- Paid 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
- Holidays – A minimum of 10 paid holidays per year
- Family Building Benefits – Includes adoption and fertility assistance
- Paid Parental Leave – Up to 11 weeks of paid leave for employees who meet eligibility criteria
- Life Insurance & AD&D – 100% of premiums covered by Milliman
- Short-Term and Long-Term Disability – Fully paid by Milliman
Company Overview