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Full Time Data Modeler Jobs in Colorado (NOW HIRING)

Data Engineer

Denver, CO

$120K - $160K/yr

DR Kharon is seeking a full-time Data Engineer based in Denver, Colorado. This role requires in ... Experience working with or data modeling for graph databases like Neo4J, Neptune, etc. * API ...

Data Engineer

Denver, CO ยท On-site

$120K/yr

This position is full-time salaried position reporting directly to the Chief Information Officer ... Structuring data sets for machine learning based predictive models, cleaning data, and feeding it ...

Databricks Data Engineer

Denver, CO ยท On-site

$120K - $140K/yr

From true innovation and synergetic cloud & technology partnerships to competitive full-time ... Understanding of best practices in data modeling, data quality, and pipeline monitoring Additional ...

Senior Data Engineer

Denver, CO ยท On-site

$108K - $147K/yr

Manager, Data Engineering Employment Type: Full-Time Overview: Audacy is looking for a Senior Data ... Whether you're designing data pipelines, optimizing data models, or ensuring the reliability and ...

Senior Data Engineer

Denver, CO

$108K - $147K/yr

Manager, Data Engineering Employment Type: Full-Time Overview: Audacy is looking for a Senior Data ... Whether you're designing data pipelines, optimizing data models, or ensuring the reliability and ...

Senior Data Engineer

Denver, CO ยท On-site

$108K - $147K/yr

Manager, Data Engineering Employment Type: Full-Time Overview: Audacy is looking for a Senior Data ... Whether you're designing data pipelines, optimizing data models, or ensuring the reliability and ...

This is a full-time position offering the opportunity to support a U.S. Government customer. The ... data modeling, etc. * Need someone who understands very large networks, telcos, and can use DS ...

Data Scientist

Aurora, CO ยท On-site

$50K - $120K/yr

This is a full-time position offering the opportunity to support a U.S. Government customer. The ... data modeling, etc. * Need someone who understands very large networks, telcos, and can use DS ...

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Full Time Data Modeler information

What are Full Time Data Modelers?

Full Time Data Modelers are professionals who design, create, and maintain data models that help organizations structure and organize their data effectively. They work closely with data architects, analysts, and developers to ensure that data is accurate, accessible, and aligned with business goals. Their responsibilities typically include defining data requirements, developing conceptual, logical, and physical data models, and optimizing database performance. Full-time roles mean they are dedicated employees rather than contractors or part-timers, contributing consistently to long-term data initiatives.

What are the key skills and qualifications needed to thrive as a Full Time Data Modeler, and why are they important?

To thrive as a Full Time Data Modeler, you need strong analytical skills, a solid understanding of data modeling concepts, and proficiency in SQL, typically supported by a degree in computer science or a related field. Familiarity with modeling tools like ERwin, IBM InfoSphere Data Architect, and experience with database management systems (DBMS) are often required, along with relevant certifications. Exceptional problem-solving skills, attention to detail, and effective communication set top candidates apart in this role. These skills are critical for designing accurate and scalable data models that support business intelligence, data integrity, and efficient decision-making.

What are some common challenges faced by Full Time Data Modelers when working with cross-functional teams?

Full Time Data Modelers often collaborate with business analysts, engineers, and stakeholders who may have varying levels of technical expertise. One common challenge is translating complex data requirements into models that are both technically sound and easily understood by non-technical team members. Balancing the needs for data normalization, performance, and scalability with business priorities can also pose difficulties. Effective communication and flexibility are key to ensuring the data model aligns with business goals while maintaining data integrity and efficiency.

What is the difference between Full Time Data Modeler vs Data Analyst?

AspectFull Time Data ModelerData Analyst
Primary FocusDesigning and developing data models and database structuresAnalyzing data sets to identify trends and generate reports
Skills & CertificationsData modeling, SQL, database design, certifications like CDMPData analysis, Excel, SQL, visualization tools
Work EnvironmentCollaborates with data engineers and architects in IT or data teamsWorks across departments to interpret data for business insights
Industry UsageCommon in tech, finance, healthcare, and large enterprisesWidely used across various industries for business intelligence

While both roles involve working with data, a Full Time Data Modeler primarily focuses on creating the structure and architecture of data systems, whereas a Data Analyst interprets data to support business decisions. Understanding these differences helps in choosing the right career path or job search focus.

What are the most commonly searched types of Data Modeler jobs in Colorado? The most popular types of Data Modeler jobs in Colorado are:
What are popular job titles related to Full Time Data Modeler jobs in Colorado? For Full Time Data Modeler jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Full Time Data Modeler jobs? Cities in Colorado with the most Full Time Data Modeler job openings:
Infographic showing various Full Time Data Modeler job openings in Colorado as of July 2026, with employment types broken down into 60% Full Time, 30% Part Time, and 10% Temporary. Highlights an 100% In-person job distribution.
Data Scientist with Colorado Avalanche- Contract

Data Scientist with Colorado Avalanche- Contract

Ball Arena

Denver, CO โ€ข On-site

$70K - $85K/yr

Full-time

Posted 11 days ago


Job description

Job Title: Data Scientist with Colorado Avalanche
Department: Colorado Avalanche, Hockey Ops
Location: Denver, Colorado is preferred, but could be remote (with Occasional Travel)
Reports to: Data Scientist
Employment Type: Full Time- Employment Contract- Salary
Supervisor Position: No
Posting End Date: 7/20/2026
Position Overview:
The Colorado Avalanche are looking to hire a full-time data scientist to work within the team's Hockey Operations Department. This person will use their knowledge of statistical best practices and modeling techniques to analyze large datasets and present takeaways in fields such as: player and team evaluation, in-game tactics, and roster building. They will have the opportunity to work with advanced event, tracking level, and biometric datasets and will work closely with various members of the hockey operations department.
Location:
Denver, Colorado is preferred, but could be remote (with occasional travel)
Responsibilities:
  • Research, develop, and test predictive models for player evaluation and projection at all levels
  • Work with large datasets to answer questions for decision-makers including coaches and management
  • Create data visualizations, reports, profiles, and presentations that communicate methodology and key findings to audiences with a range of technical competencies
  • Collaborate with our team of analytics and hockey operations personnel to best complete projects and support our management group
  • Respond to analytics or hockey operations personnel questions and project requests in a timely fashion including at times on evenings and weekends

Required Qualifications:
  • Ability to think probabilistically and comfort dealing with uncertainty
  • Expertise in one or multiple coding language, preferably R and Python
  • Experience building predictive models of various types from large, complex datasets
  • Strong verbal and written communication skills

Preferred Qualifications:
  • 1-3 years of work experience in a data analysis and/or modeling-related position
  • An advanced degree in computer science, applied mathematics, predictive analytics, statistics, or a related field
  • Expertise in AI, machine learning, and building models with spatio-temporal data
  • A comfort level working with SQL and relational databases in a cloud computing environment, preferably Azure or AWS
  • Experience building dashboards, web applications, and interactive data visualizations, which can include working in Shiny or Power BI
  • Knowledge of NHL players and teams as well as a passion for hockey and hockey analytics

Compensation:
  • Salary Range: $70k-$85k, Contract Employee

Applications must be received by: 07/20/2026
Equal Employment Opportunity
Kroenke Sports & Entertainment (KSE) provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.