Who We Are

Independent for over 75 years, Milliman delivers market-leading services and solutions to clients worldwide. Today, we are helping companies take on some of the world’s most critical and complex issues, including retirement funding, mortgage and healthcare financing, risk management and regulatory compliance, data analytics and business transformation.

 

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. We encourage our employees to give back to their varied professions, including leadership in professional organizations. Please visit our web site (https://www.milliman.com/en/social-impact) to learn more about Milliman’s commitments to our people, diversity and inclusion, social impact and sustainability.

Milliman’s Chicago-based Property and Casualty practice is one of the leading experts in P&C insurance matters. Our clients include Fortune 500 corporations, healthcare institutions, privately held companies, public entities, captive insurers and reinsurers. Our cross-discipline team includes actuaries, data scientists, and technologists.

The Opportunity

As an innovator in risk assessment, Milliman embraces technology and builds renowned data-driven tools that evaluate risk for a wide variety of applications. Nodal® is a comprehensive SaaS solution that uses artificial intelligence (AI) and machine learning (ML) to analyze structured and unstructured data to predict high-cost claims. The Nodal product team can assemble data from unstructured sources, build predictive models using cutting-edge machine learning techniques, and implement with experienced claims consultants to ensure successful implementation for our clients.

The Data Engineer is a crucial role on the Nodal team, responsible for designing the development environment of big data architecture for advanced analytics and machine learning to effectively reflect business needs, security requirements, and service level requirements. While our claims data intake processes are automated, the Data Engineer checks for and resolves issues for our existing clients. They are also a key player in new client implementation: ingest the data feed, set up a process to transfer and load into Milliman’s database, and configure our data pipelines. In this role you’ll work independently with a nimble and collaborative team. Just as important as your relevant technical knowledge will be your communication skills, as you’ll be interacting with a variety of Nodal team members and resolving client issues with the utmost urgency.

Responsibilities and expectations:

Plan, design, build, implement, and maintain data processing pipelines for the extraction, transformation, and loading of structured and unstructured data, leveraging big data frameworks such as Apache Spark Develop robust and scalable solutions that transform data into a useful format for analysis, enhance data flow, and enable end users to consume and analyze data faster and easier. Collaborate with engineers, data scientists, data analysts, product teams, and other stakeholders to translate business requirements into scalable, automated data solution that provide AI-driven insights. Develop and maintain the cloud-based data infrastructure on cloud-based platforms such as Databricks or Azure Synapse, optimizing for speed, cost, and scalability Manage and optimize data storage solutions, such as data lakes, relational database management systems, and/or data warehouses. 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 Optimize data workflows and performance by leveraging partitioning, caching, and Spark optimizations to improve processing speed and reduce latency. Evaluate and recommend emerging tools and technologies for data infrastructure and processing. Maintain comprehensive documentation in Jira and Confluence. Perform ad-hoc analyses in SQL and Python to validate data accuracy.

 

What We Are Looking For

Required:

5+ years of professional experience building scalable, cloud-based solutions for ETL (and/or ELT) pipelines, with a strong focus on performance and reliability Proficiency in Python, with expertise in designing abstractions, modular code, and reusable components Hands-on expertise in SparkSQL and pySpark for querying and transforming large datasets 3+ years of experience using Jira Expert level experience working in both relational and non-relational databases such as SQL Server, PostgreSQL, CosmosDB and/or MongoDB Able to communicate complex technical concepts to non-technical stakeholders and provide guidance on best practices. Extensive experience with Databricks and/or Azure, including infrastructure management and automation of data workflows. Familiarity with designing and building APIs, ETL processes, and data ingestion techniques, ensuring robust and scalable data operations. Experience in performance tuning, query optimization, security, monitoring, and release management. Experience handling and managing large, disparate datasets from multiple data sources. Able to teach and mentor others on emerging technologies. Driven to ensure that technology execution aligns with business strategy and provides efficient, secure solutions and systems. Excellent organization skills, with the ability to independently prioritize tasks and manage multiple projects, with or without direct input from managers Solution-oriented mindset, proactively identifying and resolving problems Equally comfortable taking initiative and self-direction to handle challenging tasks independently, and valuing collaboration as part of a team Positive approach to solving problems Professional demeanor in oral and written communication Receptive to constructive feedback

Preferred:

Health, Medical, and/or Property & Casualty claims data experience Interest in large language models (LLM) and Artificial Intelligence (AI) Degree in computer science, data engineering or related field Certification in Azure and/or AWS

 

Compensation

The salary range for this role is $98,000 - $222,000, depending on a combination of factors, including, but not limited to: education, relevant work experience, qualifications, skills, certifications, location, etc. For 5 to 10 years of related experience, the salary range is $98,000 - $198,000. For 10 or more years of related experience, the salary range is $109,000 - $222,000.

Milliman Benefits for Fulltime Employees

We offer a comprehensive benefits package designed to support employees’ health, financial security, and well-being. Benefits include:

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. Employees working less than full-time accrue PTO on a prorated basis. Holidays – A minimum of 10 observed holidays per year. Family Building Benefits – Includes adoption and fertility assistance. Paid Parental Leave – Up to 12 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.

Location
This is a remote position. Candidates hired into this role may work onsite in the Milliman office in Chicago, IL if they prefer, although paid relocation assistance is not available.  

Equal Opportunity

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

 

 

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The expected application deadline for this job is March 31, 2025.