Data Engineer - Enterprise Data Warehouse & Analytics

Roers Companies is seeking an energetic, dedicated professional to join our team as a Data Engineer!

About Us

Roers Companies is a multi-year USA Today Top Workplace and national leader in multifamily real estate, development, construction, and property management. Headquartered in Plymouth, Minnesota, we’re on a mission to elevate multifamily housing by developing quality homes in high-demand neighborhoods. Since our founding in 2012, Roers Cos. has developed more than $4.5 billion in real estate, representing 16,000+ homes across the U.S. In 2026, the company is ranked nationally among the NMHC top 25 multifamily builders (No. 25) and developers (No. 19) and the AHF top affordable housing developers (No. 5). Our team thrives on purpose-filled work, an entrepreneurial spirit, and unlimited growth potential.

About You

You’re passionate about your work and strive to achieve ambitious goals. You offer an extra hand and aren’t afraid to ask for help when needed. You act with integrity and empathy for the people around you. You get the big picture while executing the little details. In other words, you share our corporate values—passion, work ethic, teamwork, integrity, and ownership mindset.

Job Summary

The Data Engineer is responsible for the design, development, administration, and optimization of Roers Companies' Enterprise Data Warehouse, data integration architecture, and business intelligence ecosystem. This role serves as the primary technical resource for enterprise data management, modeling, data pipeline development, and Power BI administration.

The Data Engineer partners closely with leaders and stakeholders across Property Management, Finance, Development, Construction, and Corporate Services to ensure accurate, reliable, and actionable business data is available to support operational and strategic decision-making.

This position is responsible for transforming complex business requirements into scalable data solutions, developing efficient ETL/ELT processes, maintaining high-quality data structures, and establishing governance standards that promote consistency, security, and usability across reporting platforms.

Success in this role requires strong technical expertise in MS Azure, sqlDBM, Erwin, Power BI, data warehousing concepts, semantic modeling, and business intelligence best practices, combined with the ability to communicate effectively with both technical and non-technical stakeholders.

Responsibilities

Data Warehouse Architecture & Data Engineering

• Design, develop, and maintain logical and physical data models that support enterprise reporting, analytics, and operational decision-making.
• Manage the architecture, structure, and ongoing enhancement of the Enterprise Data Warehouse.
• Develop scalable data solutions that integrate information from property management systems, financial applications, and other business-critical platforms.
• Evaluate source-system data structures and implement data modeling strategies that improve reporting performance, consistency, and usability.
• Establish and maintain data standards, naming conventions, documentation, and best practices to ensure long-term maintainability and scalability.
• Monitor data quality and implement processes to identify, troubleshoot, and resolve data integrity issues.

Business Intelligence & Analytics

• Develop, maintain, and optimize Power BI semantic models, datasets, and reporting structures to support enterprise reporting needs.
• Design data models that maximize report performance, consistency, and reusability across multiple business functions.
• Create and maintain efficient DAX calculations, measures, and data relationships.
• Troubleshoot complex Power BI performance issues, dataset errors, and report calculation challenges..

Governance, Security, & Administration

• Establish and maintain Power BI governance standards, security protocols, and development best practices.
• Monitor platform utilization and identify opportunities to improve performance, adoption, governance, and user experience.
• Develop standards for report development, naming conventions, documentation, and lifecycle management.

Business Partnership & Continuous Improvement

• Partner with business stakeholders to understand reporting and analytics needs and translate business requirements into scalable data and reporting solutions.
• Provide guidance and support to users regarding dashboards, reporting tools, and data interpretation while promoting data governance and best practices.
• Identify opportunities to improve business processes through automation, enhanced reporting, improved data accessibility, and emerging technologies.