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Data Modeling Jobs in Colorado (NOW HIRING)

Bespoke Labs

Data Engineer

Denver, CO · On-site

$117K - $141K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

Bespoke Labs

Data Engineer

Colorado Springs, CO · On-site

$110K - $133K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

Bespoke Labs

Data Engineer

Greeley, CO · On-site

$110K - $132K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

Bespoke Labs

Data Engineer

Aurora, CO · On-site

$116K - $139K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

Bespoke Labs

Data Engineer

Thornton, CO · On-site

$115K - $138K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

Bespoke Labs

Data Engineer

Fort Collins, CO · On-site

$114K - $137K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

BillGO, Inc.

AI Data Analytics Engineer

Fort Collins, CO · On-site

$102K - $146K/yr

The design, build, and delivery of data models, analytics pipelines, and AI/ML features embedded in BillGO's payments products and internal tools. * Warehouse and semantic-layer modeling, metrics ...

BillGO, Inc.

AI Data Analytics Engineer

Fort Collins, CO

$113K - $135K/yr

The design, build, and delivery of data models, analytics pipelines, and AI/ML features embedded in BillGO's payments products and internal tools. * Warehouse and semantic-layer modeling, metrics ...

Releady

Data Engineer, Principal

Denver, CO · On-site

$117.10 - $130.87/hr

Apply advanced data modeling techniques, including Data Vault 2.0, dimensional, and domain-oriented models, to support analytics and data products. Cross-Functional Solution Design * Partner with ...

Releady

Data Engineer, Principal

Denver, CO · On-site +1

$170K - $190K/yr

Apply advanced data modeling techniques, including Data Vault 2.0, dimensional, and domain-oriented models, to support analytics and data products. Cross-Functional Solution Design Partner with ...

The Aerospace Corporation

Data Architect

Colorado Springs, CO · On-site

$62.75 - $80.75/hr

  • Medical

  • Retirement

  • PTO

Work Model : 100% onsite; Chantilly, Colorado Springs, El Segundo. WhatYou'llBe Doing * Develop andmaintainenterprise data architecture frameworks, reference architectures, design patterns, and ...

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Data Modeling information

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How much do data modeling jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for data modeling in Colorado is $61.74, according to ZipRecruiter salary data. Most workers in this role earn between $55.34 and $71.78 per hour, depending on experience, location, and employer.

What is a data modeling?

A Data Modeling job involves designing and structuring data to ensure it is organized, efficient, and scalable for business needs. Data modelers create conceptual, logical, and physical data models that define relationships between data elements. They work closely with database administrators, data engineers, and analysts to optimize data storage and retrieval. Their role is crucial for maintaining data integrity and supporting business intelligence and analytics initiatives. Skills in SQL, database design, and data normalization are essential for success in this role.

What does a typical day look like for someone working in data modeling?

A typical day in Data Modeling often involves collaborating with business analysts, database administrators, and software developers to understand data requirements and translate them into logical and physical data structures. Data modelers spend time designing, reviewing, and optimizing data models, ensuring accuracy and consistency across systems and projects. They also review data flows, document data dictionaries, and participate in meetings to align data architecture with overall business needs. The role frequently requires balancing independent technical work with teamwork, as well as responding to feedback and evolving project requirements to support organizational goals.

What are the key skills and qualifications needed to thrive in data modeling, and why are they important?

To thrive in Data Modeling, you need strong analytical skills, proficiency in database design, and a solid understanding of data structures, usually supported by a degree in computer science, information systems, or a related field. Expertise with tools such as ERwin, SQL, PowerDesigner, or similar data modeling software, as well as knowledge of normalization techniques and experience with data warehousing concepts, are highly valued. Effective communication, attention to detail, and problem-solving abilities set outstanding data modelers apart, allowing them to convey complex concepts to both technical and non-technical stakeholders. These skills are vital for building accurate, scalable data models that serve as the foundation for reliable data-driven decision-making within organizations.

How much do data modelers make?

Data modelers typically earn a median annual salary between $80,000 and $120,000, depending on experience, location, and industry. Senior data modelers with advanced skills in database design and data warehousing can earn higher salaries, often exceeding $130,000. Certifications in data management and proficiency with tools like SQL and ER modeling can also influence compensation.

Is data modeling a good career?

Data modeling is a valuable career in data management and analytics, involving designing and organizing data structures for databases and systems. It requires skills in database tools, understanding of business requirements, and often benefits from certifications like CBIP or data modeling tools such as ERwin or PowerDesigner. The role offers opportunities in various industries with a focus on data quality and efficiency.

Is data modeling hard to learn?

Data modeling can be challenging for beginners due to the need to understand database structures, relationships, and normalization concepts. However, with consistent study, practice, and familiarity with tools like ER diagrams and SQL, many learners can develop proficiency over time.

What are popular job titles related to Data Modeling jobs in Colorado?

For Data Modeling jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Data Modeling jobs in Colorado look for?

The top searched job categories for Data Modeling jobs in Colorado are:

Data Modeling jobs near you
Infographic showing various Data Modeling job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $128,414 per year, or $61.7 per hour.

Data Scientist - Business Intelligence (Decision Science Focus)

Keysight Technologies, Inc.

Colorado Springs, CO • On-site

$164K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 26 days ago

Keysight Technologies rating

8.1

Company rating: 8.1 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

50th of 159 rated electronics manufacturers

Job description

Overview
Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~16,800 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.
Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.
Responsibilities
  • Own end-to-end BI solutions, including data modeling, pipelines, semantic layers, and reporting using Microsoft Fabric, Power BI, and Snowflake
  • Design and deliver high-impact dashboards and self-service analytics that serve as the single source of truth for business performance across stakeholders
  • Partner with product managers, finance, and operations as a decision advisor, translating business questions into structured analytical approaches
  • Integrate and analyze data from enterprise systems such as Salesforce, ERP platforms, and other internal and external sources to create unified business views
  • Perform deep-dive analysis to identify drivers of revenue, growth, margin, and product adoption
  • Identify business inflection points, risks, and opportunities, and communicate clear recommendations
  • Define and standardize KPIs, metrics, and data definitions to align teams on a consistent view of performance
  • Improve data quality, governance, and consistency across the BI ecosystem
  • Translate complex analysis into clear, compelling business narratives for technical and non-technical audiences
  • Apply AI and generative AI tools - including AI capabilities within Microsoft Fabric, Power BI, and Snowflake - to accelerate exploratory analysis, surface patterns at scale, and enhance the quality of business narratives delivered to stakeholders

Qualifications
  • Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, Business Analytics, or a related field
  • 2-5 years of experience in business intelligence, analytics, or applied data science, with demonstrated ability to independently drive projects and influence stakeholders
  • Advanced proficiency in Power BI, including data modeling, DAX, and dashboard development
  • Experience with modern data platforms such as Microsoft Fabric, Snowflake, Azure Synapse, Databricks, or equivalent
  • Strong SQL skills for complex data extraction, transformation, and integration
  • Solid understanding of data modeling concepts (e.g., star schema, semantic models) and BI architecture best practices
  • Strong business acumen, including understanding of revenue drivers, funnel metrics, customer segmentation, and product performance
  • Ability to translate data into actionable insights and communicate effectively with business stakeholders

Preferred Qualifications
  • Experience with Python for data analysis
  • Familiarity with data pipeline and ETL/ELT tools
  • Experience optimizing large-scale datasets and dashboard performance
  • Experience working with Salesforce or similar CRM systems, including pipeline or funnel analytics
  • Understanding of statistical methods and their application in business contexts
  • Familiarity with AI/ML concepts and tools, including generative AI for analytics workflows; experience building predictive models or applying machine learning to business problems is a plus

Visa sponsorship is not available for this role.
Most offers will be between the minimum and the midpoint of the Salary Range listed below.
MIN $79,860.00 - MAX $164,830.00
Note: For other locations, pay ranges will vary by region
US Employees may be eligible for the following benefits:
  • Medical, dental and vision
  • Health Savings Account
  • Health Care and Dependent Care Flexible Spending Accounts
  • Life, Accident, Disability insurance
  • Business Travel Accident and Business Travel Health
  • 401(k) Plan
  • Flexible Time Off, Paid Holidays
  • Paid Family Leave
  • Discounts, Perks
  • Tuition Reimbursement
  • Adoption Assistance
  • ESPP (Employee Stock Purchase Plan)

#LI-MO1
Careers Privacy Statement***Keysight is an Equal Opportunity Employer.***

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