Data Engineer
Royal Electric
| Company | Royal Electric |
| Category | Engineering |
| Location | Dallas |
| Remote | On-site |
| Employment | Full-time |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 14 Aug 2026 |
| Last verified | 15 Aug 2026 |
| Source | Employer ATS (workable) |
Description
Join Team Royal! Why Royal? At Royal Electric Company we provide expert electrical design, construction, and service with builders, contractors and facility owners who value relationships, trust, expertise, and a commitment to each other towards achieving exceptional results. We believe in transforming the culture of construction, creating a space where everyone feels they belong. We are proud to support initiatives like "Breaking Barriers," showcasing the incredible contributions of women in our industry. Breaking Barriers: Women At Work Episode 1 We are able to sustain this through our linking values of expertise, collaboration, integrity, passion, and loyalty. These values support our core purpose; to build great relationships, one project at a time! We believe in taking care of our team. From comprehensive wellness programs to continuous learning opportunities, we invest in your growth and well-being. One Royal Culture Short Story We have a current opening for a Data Engineer for our Dallas Office. ROLE SUMMARY The Data Engineer is a technology professional embedded within the Digital Transformation team, supporting Construction Operations and corporate functions through reliable data integration, scalable data pipelines, and well-governed enterprise data. Reporting to the DX manager, this role partners closely with IT, Construction Operations, Finance, and PMO to transform data from core business systems into trusted, accessible datasets that support reporting, analytics, forecasting, and operational decision-making. This role supports data engineering initiatives for our data across ERP and MRP platforms, project management systems, field mobility tools, scheduling systems, financial systems, and construction technology solutions. The Data Engineer designs and maintains integrations and data pipelines that improve project visibility, reporting reliability, data availability, and digital transformation efforts across a capital-intensive construction environment. The position plays a key role in strengthening data governance, improving data quality, automating data movement, and building scalable data infrastructure that enables enterprise growth and operational excellence through our data lake house. Success in the position is achieved through the following duties & responsibilities: Construction Data Pipelines & Integration Design, build, and maintain reliable data pipelines that support project managers, operations leaders, and executive reporting needs. Integrate data from ERP/MRP, project management, scheduling, field mobility, and financial systems into governed enterprise datasets. Develop and maintain transformations that standardize project, labor, cost, vendor, material, and operational data for downstream use. Technology & Systems Integration Support data integration requirements for system implementations, upgrades, and digital transformation projects. Partner with application owners and vendors to define data interfaces, source-to-target mappings, and integration requirements. Automate recurring data movement and manual workflows through scripting, APIs, orchestration, and reusable data pipelines. Data Platform Engineering & Automation Build and optimize data models, staging layers, and curated datasets that support enterprise analytics and reporting. Monitor pipeline performance, troubleshoot failures, and improve reliability, scalability, and data processing efficiency. Document data flows, transformations, dependencies, and technical standards to support maintainable and reproducible solutions. Data Governance & Quality Management Collaborate with Technology teams to improve data quality, consistency, lineage, and reliability across enterprise systems. Support master data management initiatives across projects, vendors, materials, labor categories, and other sh