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Data Engineering Manager
Hastings Insurance Company. Lead, coach, and develop a team responsible for enterprise data engineering, data warehousing, integration, and platform operations .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading and developing enterprise data engineering teams, with a strong focus on data warehousing, integration, and platform operations. Proficient in designing and supporting enterprise data pipelines while ensuring data quality, governance, and security.
Highest-signal resume keywords
Data Engineering LeadershipEnterprise Data PlatformsETL/ELT Pipeline DevelopmentData Warehousing PrinciplesData Governance Practices
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data EngineeringData WarehousingETL/ELT DevelopmentData IntegrationData ModelingRelational DatabasesPerformance OptimizationData ArchitectureTroubleshootingContinuous Improvement
Soft Skills
Communication SkillsCollaboration SkillsMentoringTechnical Direction
Tools & Technologies
SQL ServerCloud Data PlatformsCI/CD PracticesDevOps PracticesData Orchestration Technologies
Industry Keywords
Property & Casualty InsuranceData GovernanceData QualityData LineageEnterprise Data Management
Tech Stack
Tools & technologiesCloudETLSQL
About the role
Key responsibilities & impact- Lead, coach, and develop a team responsible for enterprise data engineering, data warehousing, integration, and platform operations
- Provide technical leadership for the design, development, deployment, and support of enterprise data pipelines and data platforms
- Guide the architecture and modernization of the enterprise data environment
- Ensure reliable ingestion, movement, transformation, integration, and delivery of data across enterprise systems and downstream consumers
- Establish engineering practices that improve data quality, consistency, lineage, governance, security, and reliability
- Guide data modeling, warehousing, integration, and architectural practices
- Partner with Business Intelligence, IT engineering and architecture teams, product owners, and other stakeholders
- Oversee production support and operational health, including performance, reliability, troubleshooting, root cause analysis, and continuous improvement
- Evaluate emerging technologies and recommend solutions improving scalability, automation, performance, reliability, and cost effectiveness
- Develop and manage maintenance schedules for enterprise data platforms and related systems
- Support vendor evaluations, contract discussions, and third-party data service relationships
- Stay informed on emerging data engineering practices and technology trends, including Property & Casualty insurance developments
Requirements
What you’ll need- Bachelor's degree in Information Technology, Computer Science, Engineering, Business, or a related field, or equivalent professional experience
- 10+ years of progressive experience in data engineering, enterprise data platforms, data warehousing, systems integration, or related disciplines
- Experience leading, mentoring, or providing technical direction to data engineering or other technical professionals
- Strong experience designing, developing, and supporting enterprise ETL/ELT pipelines and data integration solutions
- Strong understanding of data warehousing, data modeling, enterprise integration, and data architecture principles
- Experience working with relational databases and large-scale enterprise data environments
- Experience supporting production data platforms, including troubleshooting, performance optimization, reliability, and continuous improvement
- Experience working across legacy and modern data environments and contributing to modernization or migration initiatives
- Understanding of data governance, data quality, lineage, security, and related enterprise data management practices
- Strong communication and collaboration skills with technical and nontechnical teams
- Ability to provide technical direction while balancing business priorities, operational needs, and long-term architectural considerations
- Remote candidates must reside in Illinois, Indiana, Michigan, Ohio, or Wisconsin
- Preferred: Experience in the Property & Casualty insurance industry or another complex, data-intensive industry
- Preferred: Experience with modern cloud data platforms and cloud-based data engineering architectures
- Preferred: Experience with SQL Server and modern ETL/ELT, orchestration, data modeling, or enterprise integration technologies
- Preferred: Experience with automation, CI/CD, or DevOps practices supporting data engineering environments
- Preferred: Experience supporting enterprise data warehouses and downstream business intelligence environments
Benefits
Comp & perks- 401(k) with company matching contributions
- Generous paid time off
- Tuition and professional development assistance
- Company performance-based incentive compensation opportunities
- Collaborative, down-to-earth culture
- Growth encouraged and good work recognized
- Hybrid or remote work options
- In-person orientation and company events