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Data Engineer

Job in Ann Arbor, Washtenaw County, Michigan, 48113, USA
Listing for: Pinnacle Consulting & Recruitment
Full Time position
Listed on 2026-01-15
Job specializations:
  • IT/Tech
    Data Warehousing, Data Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

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We are seeking a Data Engineer to own and evolve a high-value, analytically complex data and reporting environment. While overall data volumes are modest, the data itself is intricate, highly interdependent, and central to actuarial and analytical decision-making. This role focuses on building reliable data pipelines, improving analytical workflows, and modernizing reporting approaches—without forcing simplistic dashboard paradigms where they don’t fit.

Key Responsibilities
  • Design, build, and maintain reliable data pipelines supporting actuarial and analytical reporting
  • Manage and improve nightly data export and transformation processes
  • Partner closely with actuarial, finance, and analytical stakeholders to understand complex data relationships and reporting needs
  • Develop and support analytical models using Power Query, Excel, and DAX
  • Improve data structures to enable deep matrix and multi-dimensional analysis rather than surface-level KPIs
  • Evaluate and guide the transition away from SQL Server Reporting Services toward more flexible analytical tooling
  • Contribute to a future-state reporting strategy, including thoughtful use of Power BI where appropriate
  • Ensure data accuracy, consistency, and traceability across reporting outputs
Technical Requirements
  • Strong experience with SQL and relational data modeling
  • Hands‑on experience building and maintaining ETL or ELT workflows, including scheduled/nightly processes
  • Advanced experience with Excel, Power Query, and DAX for complex analytical models
  • Ability to work with highly complex, business‑critical datasets where correctness matters more than scale
  • Strong data validation, reconciliation, and documentation practices
Nice to Have
  • Experience with Power BI, particularly for complex analytical or matrix‑style reporting
  • Exposure to actuarial, financial, or risk‑based data domains
  • Experience in modernizing or replacing legacy reporting platforms such as SQL Server Reporting Services
  • Familiarity with cloud‑based data platforms and data orchestration tools
Seniority level
  • Mid‑Senior level
Employment type
  • Full‑time
Job function
  • Information Technology
Industries
  • Insurance Agencies and Brokerages
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