Data Engineer
Job Description
Reporting to the Manager, BI Engineering within Tech Services, the Data Engineer designs, builds, and maintains scalable data infrastructure and analytics solutions. The role acts as a subject matter expert and data steward, collaborating across functions to uphold governance and data quality.
Responsibilities
- Design, develop, and maintain scalable reporting solutions that support analytics needs across all business units.
- Assemble and integrate complex datasets that satisfy both functional and non-functional requirements.
- Maintain and optimize existing reports, dashboards, and data pipelines to ensure accuracy and performance.
- Serve as a companywide subject matter expert for enterprise analytics.
- Apply and monitor data governance standards across all systems and processes.
- Monitor and support change management controls in alignment with internal audit and compliance requirements.
- Respond to and resolve system tickets submitted by end users, including break/fix support and root-cause analysis.
- Recommend and implement improvements to data workflows, processes, and infrastructure to enhance reliability, efficiency, and data quality.
- Identify, design, and implement internal process improvements to streamline operations.
- Collaborate closely with cross-functional teams and foster strong working relationships.
- Communicate complex technical concepts and data findings to stakeholders clearly.
- Educate team members and end users as needed on analytics systems and processes.
Requirements
- Bachelor’s degree in computer science, analytics, or a related quantitative field; equivalent professional experience (5+ years) will be considered in lieu of a degree.
- Proven experience in a Data Engineer or equivalent technical role.
- Advanced proficiency in SQL.
- 5+ years of hands-on experience with BI visualization platforms such as Power BI.
- Working knowledge of data governance principles, access control frameworks, and change management methodologies.
- Proficiency in Microsoft Office productivity tools and Power Platform.
- Experience using Microsoft Fabric with emphasis on Lakehouse development.
Technologies
- SQL
- Power BI
- Power Platform
- Microsoft Fabric
- Lakehouse development
- Microsoft Office
- Python
Benefits
- Work in a stable, growing industry with national reach and local impact.
- Competitive compensation and performance-based bonuses.
- Comprehensive benefits including medical, dental, vision, disability, and 401(k) with match.
- Generous PTO and holiday schedule.
- Collaborative, team-oriented culture with opportunities for growth.
Position Summary
In this capacity, you will be responsible for designing, building, and maintaining scalable data infrastructure that enables data-driven decision-making across all business functions. You will act as a subject matter expert and data steward, partnering across departments to deliver high-quality analytics solutions while maintaining governance standards and industry best practices. This role reports to the Manager, BI Engineering within the Tech Services organization.