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Data Engineering Manager

Job in Hastings, Barry County, Michigan, 49058, USA
Listing for: Hastings Insurance Company
Full Time position
Listed on 2026-07-27
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing
Salary/Wage Range or Industry Benchmark: 110000 - 160000 USD Yearly USD 110000.00 160000.00 YEAR
Job Description & How to Apply Below
Location: Hastings

Lead the engineering, integration, and architecture behind our enterprise data ecosystem.
Hastings Insurance is seeking a Data Engineering Manager to join our Information Technology team. In this leadership role, you will oversee the design, development, and operational management of enterprise data solutions that support business operations, reporting, analytics, and strategic decision-making across the organization.

Leading a team of data engineering and warehousing professionals, you will guide the development of enterprise data pipelines, integration processes, data warehousing environments, and data architecture practices that ensure reliable, scalable, and secure access to critical business information. This role combines technical leadership, people leadership, and cross-functional collaboration to strengthen the data foundation that supports our business.

As advanced analytics and data science functions are led within our Actuarial & Risk Management group, this position is primarily focused on data engineering, data warehousing, enterprise integration, and data architecture.

Location &

Schedule:
  • This is a full-time position working Monday through Friday, 8:00 a.m. to 4:30 p.m.
  • The role may be performed onsite at our Hastings, Michigan headquarters or in a hybrid arrangement. We may also consider remote candidates who reside in one of our operating states:
    Michigan, Ohio, Indiana, Illinois, or Wisconsin.
  • Candidates working remotely should expect periodic travel to Hastings throughout the year for meetings, collaboration, and business needs.
What You’ll Do
  • Lead, coach, and develop a team responsible for enterprise data engineering, data warehousing, and data integration solutions.
  • Oversee the design, development, deployment, and maintenance of enterprise data pipelines and data warehousing environments.
  • Ensure reliable movement, transformation, and delivery of data from systems of record into centralized data platforms.
  • Guide data architecture, data modeling, and integration practices that support secure, scalable, and maintainable solutions.
  • Partner with IT engineering, architecture, business stakeholders, and data owners to align data solutions with organizational needs.
  • Promote data governance standards, data quality practices, and consistency across enterprise data assets.
  • Support the development and maintenance of enterprise reporting and business intelligence data structures.
  • Develop and manage maintenance schedules for data warehousing and business intelligence platforms.
  • Evaluate emerging technologies and recommend solutions that improve reliability, scalability, performance, and cost effectiveness.
  • Support vendor evaluations, contract discussions, and third-party data service relationships.
  • Collaborate with leaders across the organization to identify opportunities to improve data accessibility, consistency, and operational efficiency.
  • Stay informed on trends affecting both enterprise data environments and the Property & Casualty insurance industry.
Additional Role Highlights
  • Technical leadership role with direct influence over enterprise data engineering and data architecture initiatives.
  • Opportunity to help shape the future direction of Hastings' enterprise data environment.
  • Strong partnership with IT engineering, architecture, business analytics, and operational leaders.
  • Visibility across all levels of the organization, including executive leadership.
  • Balance of strategic planning, technical leadership, and people leadership responsibilities.
What You’ll Bring
  • Bachelor's degree in Information Technology, Business, Economics, or a related field, or equivalent experience.
  • 10+ years of progressive experience supporting enterprise data solutions, data engineering initiatives, data warehousing environments, or business data flows.
  • Experience leading, mentoring, or developing technical teams.
  • Demonstrated expertise in ETL design, development, and implementation.
  • Strong understanding of data warehousing concepts, data integration, and enterprise data architecture principles.
  • Experience working with relational databases and enterprise data environments.
  • Working knowledge of project phases and general project…
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