Sr. Data and Reporting Engineer

This person will support North American Property & Casualty Reinsurance underwriting by building scalable data and reporting solutions. They will work directly with underwriting and business stakeholders to understand their challenges, gather requirements, and translate those needs into clear technical requirements and implementable user stories. They will collaborate with enterprise architects, solution architects, and technical teams to determine how each solution should be built while remaining aligned with broader technology standards. Although the role involves technical solution design, it is not an architect position. The focus is on refining user stories, documenting requirements, defining technical components, and building a backlog that can be executed by this individual or other developers. The engineer will also be hands-on with Databricks, Python, and Spark SQL, developing data-lake solutions, pipelines, transformations, and reusable data assets. They will support reporting

and dashboard development, participate in code reviews, maintain documentation, and follow established practices involving Azure DevOps, Git, YAML, and CI/CD workflows. They will work with North American business and underwriting stakeholders, enterprise and solution architects, cross-functional technical teams, and a Europe-based development team. This person must be highly independent and able to learn an existing codebase and deliver with limited day-to-day oversight. Typical Work Allocation * 20-30%: Meeting with business and underwriting stakeholders to gather requirements * 30-40%: Technical solution design, user-story refinement, documentation, and backlog development * Approximately 40%: Hands-on Databricks and Python programming, data engineering, and reporting development. Pay is around 65-70/hr., 7+ years of experience in data engineering, reporting engineering, or a related technical role, including at least 3 years working within an Agile team. -Strong, recent Databricks experience, including current runtime libraries, data-lake solutions, pipelines, transformations, and reusable data assets. -Advanced Python development skills, along with experience using Spark SQL and working within large, mature codebases. -Experience meeting directly with business stakeholders to gather requirements and translate business challenges into technical solutions. -Strong recent experience performing technical refinement of user stories, documenting technical requirements, and developing a structured, deliverable backlog. -Experience with Power BI, Databricks dashboards, Tableau, or another reporting platform. Some reporting or dashboarding experience is required, but Power BI does not need to be the candidate’s strongest skill.