Data Engineer - Construction Operations

Primoris Services Corporation is seeking a Data Engineer for its Renewable Energy team. The role develops and maintains data infrastructure, analytics models, and business intelligence solutions to support construction operations, including project pursuit, estimating, engineering, procurement, and project execution. It transforms historical project data into insights that improve bid accuracy, risk assessment, planning, and business performance.

Responsibilities

• Design, develop, and maintain data pipelines using Databricks, Python, and SQL
• Consolidate and transform data from estimating systems, project controls, ERP platforms, labor tracking tools, scheduling systems, and operational databases
• Develop and manage scalable data models that support historical cost analysis, labor productivity benchmarking, and project performance reporting
• Establish standardized data structures that improve consistency across projects and business units
• Ensure data quality, integrity, and traceability throughout the data lifecycle
• Build datasets and analytical models leveraging:
• Historical construction costs
• Labor productivity performance
• Equipment utilization metrics
• Schedule performance data
• Project execution outcomes
• Site-specific and regional project attributes
• Collaborate with estimating and preconstruction teams to identify cost and productivity trends that improve estimating accuracy
• Develop data solutions that support benchmarking, forecasting, and predictive analytics
• Enable analysis of key project drivers including geography, labor availability, engineering complexity, site conditions, contract structure, and execution strategy
• Develop and maintain Power BI dashboards, semantic models, and reporting solutions
• Create executive, operational, and project-level reporting tools
• Deliver self-service reporting capabilities for business users
• Improve visibility into project performance and enterprise trends
• Support AI-enabled solutions that accelerate data discovery, forecasting, and decision making
• Utilize AI-assisted development and "vibe coding" techniques to accelerate solution delivery and automate repetitive development tasks
• Explore opportunities to leverage large language models and machine learning techniques for estimating, project benchmarking, and knowledge management
• Work within a collaborative development environment utilizing GitHub for version control and code management
• Participate in peer reviews, testing, documentation, and continuous improvement initiatives
• Partner closely with estimating, engineering, procurement, project controls, operations, and executive leadership teams
• Translate business challenges into practical data solutions

Preferred

• Experience in renewable energy, EPC contracting, heavy civil, utility, industrial construction, or infrastructure industries
• Experience analyzing construction cost data, labor productivity, or project performance metrics
• Knowledge of estimating workflows and project controls processes
• Experience with Azure Data Services and cloud-based analytics platforms
• Familiarity with machine learning, AI, and Microsoft Copilot technologies
• Experience developing predictive cost or productivity models
• Renewable Energy Industry
• EPC Contracting
• Heavy Civil Construction
• Utility Industry
• Industrial Construction
• Infrastructure Industry
• Construction Cost Analysis
• Labor Productivity Analysis
• Project Performance Metrics
• Estimating Workflows
• Azure Data Services
• Cloud Analytics Platforms
• Machine Learning
• Artificial Intelligence
• Microsoft Copilot
• Predictive Cost Modeling
• Predictive Productivity Modeling

Company

• Critical infrastructure services for utility, energy, and renewables markets.
• Dallas, Texas, USA
• http://prim.com/
• Founded in 2006
• 10001+ employees

Qualifications

• Bachelor's degree in Computer Science, Data Engineering, Construction Management, Engineering, Data Science, Information Systems, or related field
• 3+ years of experience in data engineering, analytics engineering, business intelligence, or related disciplines
• Strong hands-on experience with Databricks
• Experience developing Power BI reports, semantic models, and dashboards
• Advanced proficiency with Python and SQL
• Advanced Microsoft Excel capabilities
• Experience with GitHub and collaborative software development practices
• Experience designing data models for analytics and reporting
• Strong communication and stakeholder engagement skills
• Experience in renewable energy, EPC contracting, heavy civil, utility, industrial construction, or infrastructure industries
• Experience analyzing construction cost data, labor productivity, or project performance metrics
• Knowledge of estimating workflows and project controls processes
• Experience with Azure Data Services and cloud-based analytics platforms
• Familiarity with machine learning, AI, and Microsoft Copilot technologies
• Experience developing predictive cost or productivity models
• 3+ years of experience in data engineering, analytics engineering, business intelligence, or related disciplines.

Required skills

• Databricks, Power BI, Python, SQL, Microsoft Excel, GitHub, Data Modeling, ETL/ELT Development, Construction Cost and Labor Productivity Analytics, Azure Data Platform, Machine Learning, REST APIs, Stakeholder Engagement

Preferred skills

• Experience developing predictive cost or productivity models, Dallas, Texas, USA, http://prim.com, H1B Sponsorship, Data Powered by, Distribution of Different Job Fields Receiving Sponsorship, Represents job field similar to this job, Engineering and Development, Trends of Total Sponsorships, *2025, (1), 2022, Public Company, Total Funding, unknown, 2006-11-03, IPO, Leadership Team, Koti Vadlamudi, Chief Executive Officer, Kenneth Dodgen, Chief Financial Officer, Recent News, Newswire, 2026-09-28, 2026-09-25, Morningstar.com, 2026-09-19, Company data provided by, AI Tools

Experience

• 3+ years