Data Engineer

Primoris-Services-Corporatio; Denver (CO); On-site; USD 80,000 - 105,000; Full time

Benefits offered by this job

Paid holidays

Paid time off

Medical, dental, vision

401K with matching

Job summary

Primoris Renewable Energy seeks a Data Engineer to design and maintain data infrastructure supporting project pursuit, estimating, engineering, procurement, and construction operations in Denver, CO. The role focuses on integrating and transforming historical cost data, labor productivity metrics, and project attributes into scalable data models for data-driven decision making.

You will build data solutions with Databricks, Python, SQL, and Power BI, collaborating with estimators, engineers,

Qualifications

• 3+ years of experience in data engineering or analytics engineering.
• Strong Databricks experience and data pipeline development.
• Proficiency in Power BI reports and semantic models.
• Advanced Python and SQL skills required.
• Experience with GitHub and collaborative software practices.

Responsibilities

• Design and maintain data pipelines using Databricks, Python, and SQL.
• Consolidate data from estimating systems, ERP, labor tracking, and scheduling tools.
• Develop scalable data models for cost analysis and project performance reporting.
• Create Power BI dashboards and self-service reporting for users.
• Ensure data quality, lineage, and governance across datasets.

Skills

Databricks

Power BI

Python

SQL

GitHub

Excel

Azure Data Platform

REST APIs

Machine Learning Fundamentals

Education

Bachelor's degree

Tools

Databricks

Power BI

Azure Data Platform

GitHub

REST APIs

Job description

Job Overview:Data EngineerRenewable Energy DivisionPosition SummaryThe Renewable Energy team is seeking a Data Engineer to develop and maintain the data infrastructure, analytics models, and business intelligence solutions that support project pursuit, estimating, engineering, procurement, and construction operations.This role will focus on integrating and transforming historical construction cost data, labor productivity metrics, and project-specific attribute data into scalable data models that enable data-driven decision making. The ideal candidate will possess strong technical skills in Databricks, Power BI, Python, and SQL, while also demonstrating the ability to collaborate closely with estimators, engineers, project managers, and operational leaders.The successful candidate will help build a modern data environment that converts years of project experience into predictive insights that improve bid accuracy, risk assessment, project planning, and overall business performanceKey ResponsibilitiesData Engineering & IntegrationDesign, 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.Construction & Preconstruction AnalyticsBuild datasets and analytical models leveraging:Historical construction costsLabor productivity performanceEquipment utilization metricsSchedule performance dataProject execution outcomesSite-specific and regional project attributesCollaborate 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.Business Intelligence & ReportingDevelop 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.AI & Advanced AnalyticsSupport 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.Development & CollaborationWork 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.Required QualificationsBachelor'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.Preferred QualificationsExperience 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.Desired Technical SkillsDatabricksPower BIPythonSQLGitHubExcelData ModelingETL/ELT DevelopmentAzure Data PlatformREST APIsAI-Assisted DevelopmentMachine Learning FundamentalsWhat Success Looks LikeWithin the first year, this individual will: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.Target Salary 80,000 - 105,000Company Overview:Primoris Renewable Energy, a business within Primoris Services Corporation’s Energy segment, is a leading power generation engineering, procurement, and construction (EPC) provider specializing in utility and commercial scale solar power, energy storage, solar repower, and operations and maintenance. Standing at the forefront of energy transformation, we are dedicated to doing the right thing for our customers, people, and planet – shaping a more sustainable future for generations to come.Benefits:Paid Company HolidaysPaid Time OffMedical, Dental, Vision, FSA/HSA, Short Term/Long Term Disability401K with matching contribution.EEO StatementWe are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.Agency StatementWe are not accepting resumes from Third Party Recruiting Firms for this position. If you are an Agency or Search firm representative, contact the Primoris Talent Acquisition Manager directly for consideration. Primoris or its subsidiaries will not be responsible for any fees arising from the use of resumes and online response forms through this source. In addition, Primoris or its subsidiaries will not be responsible for any fees on unsolicited resumes that are submitted to any member of the Staffing or Operations team. Primoris has established an approved vendor program for this service and will only consider accepting submissions from those approved firms. For consideration in becoming an approved vendor, contact HR.Equal Opportunity EmployerThis employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.