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Full Time Data Modeler Jobs in Colorado (NOW HIRING)

... model built just for them. Quite simply, we bring great companies and great candidates together ... They are seeking a Data Scientist to join the team full-time to work with other Data Science and ...

Senior Data Scientist

Aurora, CO · On-site

$115K - $190K/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 ...

... model built just for them. Quite simply, we bring great companies and great candidates together ... They are seeking a Data Scientist to join the team full-time to work with other Data Science 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 ...

Snowflake Data Engineer

Broomfield, CO · On-site

$74K - $110K/yr

EEO/About Us Benefits Along with competitive pay, as a full-time Infosys employee you are also ... data modeling, transformation, and optimization aligned with enterprise data architecture and ...

Data Scientist, Lead

Aurora, CO · On-site

$112K - $257K/yr

... models, including tools leveraging LLMs or agentic AI, such as data retrieval and cleaning ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

... models, including tools leveraging LLMs or agentic AI, such as data retrieval and cleaning ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer

Colorado Springs, CO · On-site

$61K - $141K/yr

... modeling, simulation, and analysis environment. You will design, build, and deploy the scalable ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

... modeling, simulation, and analysis environment. You will design, build, and deploy the scalable ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist, Mid

Aurora, CO · On-site

$77K - $176K/yr

Experience building advanced analytics and AI/ML models, particularly tools leveraging LLMs or ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Manager, Data Science

Denver, CO · On-site

$158K - $185K/yr

The ideal candidate will have experience developing and deploying models into production, the ... Applicants must be currently authorized to work in the United States on a full-time basis. * For ...

Experience building advanced analytics and AI/ML models, particularly tools leveraging LLMs or ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Experience building advanced analytics and AI/ML models, particularly tools leveraging LLMs or ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Showing results 21-40

Full Time Data Modeler information

What is a full time data modeler?

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 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 August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Mainly Remote to Denver Data Engineer - Staff Consultant

Datalere

Denver, CO • On-site, Remote

$90K - $140K/yr

Full-time

Re-posted 3 days ago


Job description

We are looking for an experienced Data Engineer Consultant to join our team. The ideal candidate will possess strong SQL development skills, expertise in data visualization, and solid knowledge of dimensional modeling. As a Data Engineer Consultant, you will work closely with our clients to design, develop, and optimize their data infrastructure, ensuring the delivery of high-quality data solutions that meet business requirements.
This role is a mainly remote one for candidates who are relatively close to the Metro Denver area. Intermittent/occasional onsite work in Denver should be expected.
Please also note that we are somewhat stack agnostic, so those with classically defined data engineering skills (ETL Modeling and Design, Data Pipelines, Relevant Builds, etc.) are encouraged to apply regardless of tech stack.
Please also note we are unable to sponsor or take over sponsorship of an employment Visa at this time. This is to include sponsorship down the road.
Key Responsibilities:
  1. Data Infrastructure Development (ETL, SQL):
    • Design, build, and maintain scalable data pipelines and ETL processes tailored to client needs.
    • Develop and optimize complex SQL queries for data extraction, transformation, and loading.
    • Diagnose and troubleshoot data-related issues, providing quick and effective resolutions.
    • Analyze data workflows and identify areas for improvement, recommending and implementing solutions to optimize performance.
    • Utilize a proactive approach to foresee potential problems and address them before they impact clients' operations.
  2. Dimensional Modeling and Data Modeling:
    • Design and implement dimensional models to support data warehousing and business intelligence initiatives.
    • Design and implement different data modeling techniques to meet business' data demands that align with data architecture design.
    • Develop and maintain data schemas, ensuring data integrity and consistency for clients.
  3. Data Visualization:
    • Create and maintain dashboards and reports using data visualization tools to provide actionable insights.
    • Train clients on best practices for using data visualization tools to maximize value.
  4. Client Consultation:
    • Engage with clients to understand their data needs and business objectives.
    • Conduct detailed requirements analysis and provide recommendations for data infrastructure improvements.
    • Work closely with client teams, data scientists, analysts, and other stakeholders to understand data needs and provide technical support.
    • Communicate complex technical concepts to non-technical stakeholders in a clear and concise manner.

Qualifications:
  • Bachelor's degree in computer science, Information Technology, or a related field.
  • 3+ years of experience in data engineering, data warehousing, or a similar role.
  • Strong proficiency in SQL
  • Proven experience with data visualization tools and theory.
  • In-depth knowledge of dimensional modeling concepts and techniques.
  • Familiarity with ETL tools and processes.
  • Strong problem-solving skills and attention to detail
  • Experience with cloud-based data platforms
  • Excellent communication and collaboration skills, with the ability to work effectively with clients.

The desired salary range for this position is $90,000 - $140,000 per year. This is a full time role with the practice.
About Us
At Datalere, we work with our clients to transform their enterprise through the use of modern compute technologies and proven deployment processes providing cost effective durable solutions for the competitive world.
If you are seeking new challenges, interested in staying up to date with the latest releases and can deliver uncompromised service to our customers, then we'd like to hear from you. If you are interested and meet the above qualifications, please submit your resume and cover letter indicating your interest to join our team.