Data Engineer

Primoris Renewable Energy provides engineering, procurement, and construction services for renewable energy projects. The Data Engineer will develop and maintain data pipelines, scalable data models, analytics solutions, and Power BI reporting that support construction, preconstruction, project performance, and business decision-making. The role will also support AI-enabled forecasting and predictive analytics initiatives while collaborating with cross-functional operational teams.

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
• Establish trusted datasets for historical construction cost and labor productivity analytics
• Develop enterprise reporting and Power BI dashboards used by preconstruction and operations teams
• Improve estimate accuracy through data-driven benchmarking and trend analysis
• Create scalable data models that support future AI and predictive analytics initiatives
• Enable leadership teams to make faster, more informed business decisions using project performance data

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

Benefits

• Paid Company Holidays
• Paid Time Off
• Medical, Dental, Vision, FSA/HSA, Short Term/Long Term Disability
• 401K with matching contribution.

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, Azure Data Platform, REST APIs, Machine Learning, Construction Cost Data Analysis, Stakeholder Engagement

Preferred skills

• Experience developing predictive cost or productivity models

Experience

• 3+ years