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Stadium Building Engineer Jobs in Colorado (NOW HIRING)

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Stadium Building Engineer information

What does a stadium building engineer do?

A Stadium Building Engineer is responsible for the maintenance, operation, and repair of a stadium's mechanical, electrical, and structural systems. They ensure that all building systems, such as HVAC, lighting, plumbing, and safety systems, are functioning properly before, during, and after events. Their duties often include conducting regular inspections, troubleshooting issues, coordinating with contractors, and adhering to safety codes. This role is crucial to providing a safe, comfortable, and well-maintained environment for both spectators and staff.

What are the typical daily responsibilities of a stadium building engineer and how do they interact with event staff during major events?

A Stadium Building Engineer is responsible for overseeing the maintenance and operation of all building systems, including HVAC, electrical, and plumbing, to ensure the stadium remains safe and fully functional. On event days, they work closely with event staff, security, and operations teams to address any technical issues that arise quickly, minimizing disruptions to the event. Their day-to-day tasks often include routine inspections, coordinating repairs, and managing preventative maintenance schedules. Strong teamwork and communication skills are essential, as engineers must respond to urgent requests and collaborate with various departments to deliver a seamless event experience.

What are the key skills and qualifications needed to thrive as a stadium building engineer, and why are they important?

To thrive as a Stadium Building Engineer, you need a solid background in structural engineering, facility management, and HVAC systems, typically supported by a degree in engineering and relevant licensure. Familiarity with building automation systems, CAD software, and maintenance management platforms is also important. Strong problem-solving abilities, attention to detail, and effective communication skills help ensure seamless operations and coordination with diverse teams. These skills are critical for maintaining safety, optimizing stadium performance, and managing large-scale events smoothly.

What is the difference between Stadium Building Engineer vs Stadium Maintenance Technician?

AspectStadium Building EngineerStadium Maintenance Technician
CredentialsEngineering degree or relevant certificationsTechnical certifications or trade licenses
Work EnvironmentDesign, oversee, and manage stadium systemsPerform repairs and routine maintenance
Industry UsageDesign firms, stadium management companiesStadium operations and maintenance teams
Common Search IntentEngineering roles, stadium system managementMaintenance tasks, repair jobs

The Stadium Building Engineer focuses on designing, managing, and overseeing stadium systems, requiring engineering credentials. In contrast, the Stadium Maintenance Technician handles routine repairs and maintenance tasks within the stadium. Both roles are essential for stadium operations but differ in responsibilities and qualifications.

What are popular job titles related to Stadium Building Engineer jobs in Colorado?

For Stadium Building Engineer jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Stadium Building Engineer jobs in Colorado look for?

The top searched job categories for Stadium Building Engineer jobs in Colorado are:

What cities in Colorado are hiring for Stadium Building Engineer jobs?

Cities in Colorado with the most Stadium Building Engineer job openings:

Analytics Engineer

Englewood, CO

$105K - $115K/yr

Full-time

Posted 4 days ago


Job description

JOB SUMMARY: The Analytics Engineer will help pioneer the next generation of analytics, automation, and data-driven decision making at the Denver Broncos. This role will develop and scale solutions that improve revenue generation, fan engagement, operational efficiency, and organizational decision making through a combination of analytics engineering, predictive modeling, and AI-enabled workflows.

This highly visible role will partner with stakeholders across Ticketing, Marketing, Partnerships, Operations, and Leadership to build trusted data products, predictive insights, and intelligent automations that transform how the organization interacts with data.

This is a full-time, onsite position based in Englewood, Colorado.

DUTIES AND RESPONSIBILITIES: 

Analytics Engineering & Business Intelligence - Build trusted data products that power business decisions

  • Design, develop, and maintain analytics-ready datasets, semantic models, and reusable business logic that support dashboards, reporting, machine learning models, and AI-enabled workflows
  • Build and maintain ETL pipelines and data integration processes that reliably ingest, transform, and load data into the enterprise data warehouse
  • Partner with analysts, engineers, and business stakeholders to create scalable reporting solutions that improve visibility into ticketing, marketing, sponsorship, ticketing and operational performance
  • Deliver actionable insights by gathering requirements, developing dashboards and visualizations, and supporting ad hoc analytical requests using best practices in data integrity, validation, analysis, and documentation
  • Develop attribution and measurement frameworks that help quantify the impact of fan engagement, marketing communications, and lifecycle campaigns
  • Develop lead scoring and prospecting solutions that support premium, sponsorship, and future stadium sales efforts
  • Develop consumer insights solutions that uncover fan behaviors and trends to inform business strategy and growth initiatives
  • Serve as a trusted analytics partner to stakeholders by translating business needs into scalable and measurable data solutions

Data Science & Predictive Analytics - Develop models that improve business outcomes

  • Develop, maintain, and embed predictive models into solutions that support pricing, demand forecasting, fan engagement, and customer behavior use cases
  • Enhance and manage existing fan segmentation, propensity, and predictive scoring models that support personalized marketing and engagement strategies
  • Partner with business stakeholders to identify opportunities where predictive analytics can improve revenue generation, customer engagement, and operational effectiveness
  • Monitor, evaluate, and refine models to ensure performance, accuracy, and alignment with business goals

AI Enablement & Automation - Apply AI tools to accelerate business processes and decision making

  • Build and maintain trusted data resources that make it easy for employees, analysts, and AI tools to securely access consistent business information and insights.
  • Help establish and maintain guidelines that ensure AI solutions are accurate, secure, reliable, and aligned with business needs and company policies.
  • Leverage emerging analytics and agentic capabilities to transform data into proactive, contextual insights that identify opportunities and deliver timely information to stakeholders

MINIMUM REQUIREMENTS:

  • Bachelor's or Master's in a quantitative field (Computer Science, Statistics, Engineering, Data Science)
  • 3-4 years of professional experience in analytics engineering, advanced analytics, data science, or related fields
  • 1+ years of professional experience deploying products built on predictive modeling and machine learning (MLOps)
  • Experience developing lead scoring models, prospecting strategies, and sales intelligence solutions that support customer acquisition and revenue growth
  • Experience using consumer research, segmentation, and behavioral analytics to generate actionable business insights
  • Expertise in SQL and Python
  • Experience with Snowflake, dbt, and modern analytics engineering practices
  • Experience with agentic workflows, MCP, RAG, or LLM-powered applications
  • Experience building dashboards and reporting solutions using Power BI or Tableau
  • Experience with data modeling, ETL development, and data warehousing
  • Excellent communication and storytelling skills, capable of translating complex technical concepts into intuitive, impactful insights and driving adoption of ML and AI-driven solutions

PREFFERED QUALIFICATIONS: 

  • Experience supporting ticketing, marketing, sponsorship, or fan engagement analytics
  • Experience with AI-enabled workflows, Copilot Studio, Claude, Cortex, or similar platforms
  • Familiarity with SDLC, CI/CD, source control, and deployment practices

In accordance with the Colorado Equal Pay for Equal Work Act, the salary range for this role is $105,000 - $115,000.

This posting is anticipated to close on September 6th. Applications may be reviewed on a rolling basis, and the employer reserves the right to close the application window early if a qualified candidate pool is established.