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# software engineer

- **Company:** Milliman, Inc.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $104,900.0 - $199,065.0
- **Contract:** Permanent contract
- **Skills:** .NET Framework, Agile Methodology, Amazon Web Services, Application Services, Big Data, Health Informatics, C Sharp (Programming Language), Cloud Engineering, Continuous Integration, Information Engineering, Data Infrastructure, Data Integration, Data Integrity, Data Systems, Data Warehousing, Software Debugging, DevOps, Distributed Systems, EHealth, Github, Information Lifecycle Management, Interoperability, DataOps, Software Engineering, SQL Databases, Data Streaming, Unstructured Data, Data Processing, EHR Systems, Fast Healthcare Interoperability Resources, Electronic Medical Records, Backend, Data Layers, Event Driven Architecture, Health Level Seven International, AWS Data Analytics, Data Management, Data Delivery, Terraform, Data Pipelines, Legacy Systems, Microservices
- **Published:** July 1, 2026
- **Apply:** https://www.dice.com/job-detail/63dcfc91-d268-4da8-a65d-ca612bf0b789

## About the Role

* 5+ years of experience in software engineering with significant focus on data pipeline development and backend systems
 * Strong proficiency in C# (.NET) and SQL, with experience working with large-scale data systems
 * Hands-on experience building and operating data pipelines and data processing systems
 * Experience with AWS data and compute services
 * Experience with microservices and event-driven architecture
 * Strong understanding of data modeling, data integration, and data lifecycle management
 * Experience with DevOps practices, including CI/CD, GitHub workflows, and Terraform
 * Working knowledge of Agile/SAFe delivery models
 * Experience with full software development lifecycle
 * Strong problem-solving and debugging skills across both application and data layers
 * Ability to design resilient, scalable, and observable data systems
 * Proven ability to own pipeline reliability, performance, and data quality outcomes
 * Excellent collaborative skills, work well independently and as a team member
 * Proven analytical skills to interpret and implement business and functional requirements

What you bring to the table

 * A data-first engineering mindset, with deep understanding of how data flows through systems and enables business value
 * Demonstrated ability to design and operate complex data pipelines and distributed systems
 * Strong ownership and accountability for data quality, reliability, and system performance
 * Can identify, analyze, and evaluate complex problems, demonstrating attention to detail and the ability to synthesize complex data, contributing to team goals and objectives
 * Experience influencing engineering teams through technical leadership, mentoring, and best practices adoption
 * A collaborative approach, working effectively across software engineering, data engineering, and product teams
 * Has a thorough understanding of the field and seeks to enhance technical expertise by staying up to date with industry trends, best practices, and emerging technologies

Wish list

 * Continued education and/or advanced degree(s)
 * Experience building production-grade data pipelines using AWS data services
 * Experience with real-time or streaming data architectures
 * Familiarity with data warehouse and lakehouse architectures
 * Experience implementing data observability, lineage, and governance practices
 * Experience working in regulated data environments (e.g., healthcare, HIPAA, or financial data systems)
 * Strong understanding of digital health data-experience with EHR systems, FHIR/HL7 interoperability, or data integration is highly preferred
 * Experience with clinical informatics (e.g. data table structure, storage, relationships, maintenance, etc.) as well as in-depth knowledge of medical claims and electronic health records (ICD-10 codes, data management, research, etc.)
 * Experience rebuilding on-prem legacy applications in a modern cloud environment (AWS)
 * Experience with workflow orchestration tools and pipeline scheduling frameworks
 * AWS certifications or advanced cloud data engineering training

## Description

The Software Engineer III is a critical contributor at the intersection of product engineering and data engineering, responsible for designing and delivering scalable backend services and data pipelines that power next-generation Insurtech products. As a member of the Data Curation team, you will be responsible for creating and modernizing solutions central to our most-used offerings based on market needs and product requirements. You will mix system-level thinking and hands-on development while partnering closely with software engineers, data engineers, product managers, and stakeholders to deliver solutions that are scalable, compliant, and market-differentiating.

As a software engineer focused on prescription, health, and medical record data solutions, you thrive in fast-moving, modernization development and can balance strategic thinking with hands-on execution to help us achieve product-market fit and scale. You will have the opportunity to help lead the development of new processes and workflows that will become the core of many products that drive efficiency, compliance, and value for our clients.

What you'll be doing

 * Design, build, and optimize data pipelines for ingestion, transformation, enrichment, and distribution of structured and unstructured data
 * Develop event-driven and batch data processing systems using AWS-native services
 * Integrate backend application services with data pipelines, ensuring consistency between transactional and analytical systems
 * Modernize legacy systems into microservices and event-driven architectures in AWS
 * Implement data reliability and quality mechanisms (validation, monitoring, observability, and error handling)
 * Build and maintain data workflows and orchestration pipelines to ensure timely and accurate data delivery
 * Ensure systems are designed for performance, scalability, security, and compliance
 * Mentor engineers and contribute to raising the team's engineering maturity and delivery quality
 * Collaborate in SAFe Agile teams, delivering measurable outcomes aligned to product and platform objectives
 * Support production operations, including monitoring, troubleshooting, and continuous improvement of system performance


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