D

About the Role

The Renewable Energy team is hiring a Data Engineer to build and maintain data infrastructure, transform historical construction and productivity data, and deliver Power BI reporting and predictive analytics to improve estimating, risk assessment, and project performance.

Explicitly references "vibe coding" and AI-assisted development; mentions LLMs and Copilot to accelerate delivery.

Location: Denver, CO 80207

Salary: USD 80,000 - 105,000/year

Type: Full-time

Posted: Yesterday

Category: AI/ML & Data

Company Rating: 3.8 (482 reviews)

Company Size: 5k-10k

Vibe Markers: 💻 Open Source, 🔥 Hot

Experience Level: Mid

Job Description

Role

The Data Engineer will design, build, and maintain data infrastructure and analytics solutions for Primoris Renewable Energy. The role focuses on ingesting and transforming historical construction cost, labor productivity, and project attribute data into scalable data models, dashboards, and predictive analytics that improve bid accuracy, project planning, and operational decision making.

Key Responsibilities

Data Engineering & Integration

• 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 to support historical cost analysis, productivity benchmarking, and performance reporting.
• Ensure data quality, integrity, and traceability.

Construction & Preconstruction Analytics

• Build datasets and analytical models from historical construction costs, labor productivity, equipment utilization, schedule performance, and project attributes.
• Collaborate with estimating and preconstruction teams to identify cost and productivity trends and support benchmarking, forecasting, and predictive analytics.
• Enable analysis of project drivers (geography, labor availability, engineering complexity, site conditions, contract structure, execution strategy).

Business Intelligence & Reporting

• Develop and maintain Power BI dashboards, semantic models, and reporting solutions for executive, operational, and project-level needs.
• Deliver self-service reporting capabilities to business users to improve visibility into project performance and enterprise trends.

AI & Advanced Analytics

• Support AI-enabled solutions for data discovery, forecasting, and decision making.
• Utilize AI-assisted development and “vibe coding” techniques and explore LLMs and ML techniques for estimating, benchmarking, and knowledge management.

Development & Collaboration

• Use GitHub for version control and collaborate in peer reviews, testing, documentation, and continuous improvement.
• Partner with estimating, engineering, procurement, project controls, operations, and leadership to translate business challenges into data solutions.

Requirements

Required 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.
• Hands-on experience with Databricks.
• Experience developing Power BI reports, semantic models, and dashboards.
• Advanced proficiency with Python and SQL and strong Microsoft Excel capabilities.
• Experience with GitHub, data modeling for analytics, and strong communication/stakeholder engagement skills.

Preferred Qualifications

• 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.
• Experience with Azure Data Services / cloud-based analytics platforms.
• Familiarity with machine learning, AI, and Microsoft Copilot.
• Experience developing predictive cost or productivity models.

Desired Technical Skills

• Databricks, Power BI, Python, SQL, GitHub, Excel
• Data modeling, ETL/ELT development, Azure Data Platform, REST APIs
• AI-assisted development and machine learning fundamentals

What Success Looks Like

• Trusted datasets for historical cost and productivity analytics established.
• Enterprise reporting and Power BI dashboards adopted by preconstruction and operations teams.
• Improved estimate accuracy through data-driven benchmarking and trend analysis.
• Scalable data models enabling future AI and predictive analytics initiatives and faster leadership decision making.

Benefits

• Paid company holidays
• Paid time off
• Medical, dental, vision, FSA/HSA
• Short-term and long-term disability
• 401(k) with matching contribution

Tech Stack

Databricks, Power BI, Python, SQL, Microsoft Excel, GitHub, Azure Data Services, Azure Data Platform, REST APIs, Microsoft Copilot

Skills

Data Engineering, Data Modeling, ETL/ELT Development, Business Intelligence, Analytics Engineering, Reporting, Data Quality, Stakeholder Engagement, Collaboration, Version Control, Communication, Forecasting, Predictive Analytics

Benefits

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