Data Engineer

Royal Electric•Dallas, TX

23h•$92,000 - $119,000•Onsite

About The Position

The Data Engineer is a technology professional embedded within Royal Electric Company’s Digital Transformation team. The role supports Construction Operations and corporate functions by building reliable data integrations, scalable data pipelines, and governed enterprise data. Reporting to the DX Manager, the Data Engineer partners with IT, Construction Operations, Finance, and PMO to turn data from core business systems into trusted, accessible datasets for reporting, analytics, forecasting, and operational decision-making. The role supports data engineering across ERP and MRP platforms, project management systems, field mobility tools, scheduling systems, financial systems, and construction technology solutions. It designs and maintains integrations and pipelines that improve project visibility, reporting reliability, data availability, and digital transformation efforts in a capital-intensive construction environment. The position strengthens data governance and quality, automates data movement, and builds scalable infrastructure for the company’s data lakehouse. Its work supports accurate, timely data for reporting, forecasting, financial controls, operational decisions, predictable project delivery, capital efficiency, and sustainable growth.

Requirements

Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
3–5 years of experience in data engineering, data integration, or related data platform work.
Proficiency in SQL and Python for data transformation, automation, and troubleshooting.
Experience building ETL/ELT data pipelines, integrating APIs, working with relational databases, and applying modern data engineering practices in data warehouse or lakehouse environments.
Experience with Microsoft Fabric, Azure-based data services, or similar cloud-based data platforms.
Experience in data modeling and designing scalable data structures for analytics, reporting, and business intelligence.
Strong problem-solving skills and attention to data quality, reliability, and documentation.
Experience using Git and CI/CD practices to manage and deploy data engineering solutions.

Nice To Haves

Experience working with ERP, MRP, or construction/project management systems.
Exposure to capital project delivery environments or construction operations.
Familiarity with Power BI or similar enterprise BI platforms.
Experience supporting financial, job-cost, project-controls, or operational reporting data.
Knowledge of enterprise data governance and security practices.

Responsibilities

Design, build, and maintain reliable data pipelines for project managers, operations leaders, and executive reporting.
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.
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 using scripting, APIs, orchestration, and reusable pipelines.
Build and optimize data models, staging layers, and curated datasets for enterprise analytics and reporting.
Monitor pipeline performance, troubleshoot failures, and improve reliability, scalability, and processing efficiency.
Document data flows, transformations, dependencies, and technical standards.
Collaborate with Technology teams to improve data quality, consistency, lineage, and reliability across enterprise systems.
Support master data management for projects, vendors, materials, labor categories, and other shared business entities.
Implement validation, reconciliation, and monitoring controls to strengthen enterprise reporting and trusted data use.
Work with Construction Operations, Finance, HR, and corporate leadership to translate business and reporting needs into data solutions.
Partner with analysts and data consumers to deliver accessible, well-defined datasets and explain technical concepts to non-technical audiences.
Contribute to change management and adoption efforts for data integrations, reporting tools, and system enhancements.

Benefits

Health care plan with three medical plans, discounted dental and orthodontist services, and a premium vision plan.
Traditional and Roth 401(k) retirement plans.
$50,000 life insurance, including basic, voluntary, and AD&D coverage.
Paid time off, including vacation, sick leave, and eight paid holidays.
Family leave under FMLA, including maternity and paternity leave.
Short-term and long-term disability.
Pet insurance.
Flexible spending accounts for healthcare, dependent care, and transit.
Pharmacy discounts.
Kisx Card surgery and imaging program.
Tuition reimbursement opportunity.
Wellness resources, free telehealth, Health Joy app, free peer-coach support, CancerCARE consulting and support, and employee assistance support.
Hearing aid and Laser VisionCare discount plans.
Learning and development, including safety, professional and leadership, and skill development training; mentorship; and on-the-job and classroom training.
Employee referral program with potential incentives for successful referrals.