Data Engineer II

In this Data Engineer role, you will design and maintain reliable data solutions that support high-quality data products for the insurance lifecycle. You will begin with data management activities—profiling, validation, quality controls—and grow toward broader data engineering ownership in collaboration with cross-functional teams. You will translate requirements into scalable solutions to improve data quality, efficiency, and customer outcomes. This is a hands-on role with a focus on automation and AI-assisted approaches to boost productivity and impact.

• Own data transfers and components, including collection, transfer, and contributor/customer setup, with ongoing maintainability.
• Collaborate with technical teams and stakeholders to translate data and product requirements into effective data solutions.
• Design, develop, test and maintain reusable data engineering solutions using established practices.
• Evaluate approaches to balance delivery, data quality, testing and maintainability.
• Perform data management activities: profiling, validation, quality management, and issue resolution.
• Troubleshoot data engineering issues, identify root causes and implement sustainable fixes.
• Identify automation opportunities, including AI-assisted engineering and intelligent automation.
• Contribute to code reviews, specifications, database and workflow management, and adoption of new technologies.

• Experience in Data Management, Data Engineering or related technical data role.
• Strong knowledge of data manipulation, profiling, validation and data quality practices.
• Experience with data models, data requirements and maintainable data solution designs.
• Experience with development technologies such as SQL, Java/J2EE, JavaScript, C/C++, .NET, HTML/XML, HPCC, Windows or Unix.
• Understanding of software engineering practices, including testing, code reviews, maintainability and Agile or Waterfall.
• Strong analytical and problem-solving skills; ability to assess alternatives and recommend solutions.
• Clear communication, attention to detail, and willingness to learn new technologies, including AI-assisted engineering and automation.

• clear communication
• attention to detail
• problem-solving
• SQL
• Java/J2EE
• JavaScript