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Data Modeling Jobs in Colorado (NOW HIRING)

Cresset Capital

DIRECTOR, DATA ENGINEER

Denver, CO · On-site

$117.80K - $141.50K/yr

Build and maintain dbt models to transform and document data within Snowflake, ensuring consistency, testability, and lineage across the warehouse. * Collaborate with stakeholders to understand data ...

Cresset Capital

DIRECTOR, DATA ENGINEER

Denver, CO · On-site

$200K - $225K/yr

Build and maintain dbt models to transform and document data within Snowflake, ensuring consistency, testability, and lineage across the warehouse. * Collaborate with stakeholders to understand data ...

Datavail

Senior Data Architect

Boulder, CO

$66 - $88.25/hr

Deep knowledge of data modeling, data warehousing, and lakehouse patterns * Handson experience with at least one modern data platform: * Microsoft Fabric and/or Databricks strongly preferred

Datavail

Senior Data Architect

Boulder, CO

$66 - $88.25/hr

Deep knowledge of data modeling, data warehousing, and lakehouse patterns * Handson experience with at least one modern data platform: * Microsoft Fabric and/or Databricks strongly preferred

Datavail

Senior Data Architect

Boulder, CO · On-site

$66 - $88.25/hr

Deep knowledge of data modeling, data warehousing, and lakehouse patterns * Hands-on experience with at least one modern data platform: * Microsoft Fabric and/or Databricks strongly preferred

Contentful

Data Engineer

Denver, CO · On-site

$117.90K - $141.50K/yr

Develop high-quality data models that support analytics, reporting, and operational use cases. * Partner with analytics, product, and business stakeholders to understand data needs and translate them ...

Overwatch Agriculture

Principal Data Engineer

Boulder, CO · On-site

$120K - $165K/yr

Strong understanding of data modeling, optimization techniques, and stream processing patterns * Excellent leadership and mentorship skills with at least 2 years in a leadership role Nice to Have:

Contentful

Data Engineer

Denver, CO · On-site

$117.90K - $141.50K/yr

Develop high-quality data models that support analytics, reporting, and operational use cases. * Partner with analytics, product, and business stakeholders to understand data needs and translate them ...

Datavail

Senior Data Architect

Boulder, CO

$66 - $88.25/hr

Deep knowledge of data modeling, data warehousing, and lakehouse patterns Handson experience with at least one modern data platform: * Experience integrating data platforms with applications using ...

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$61

$87

How much do data modeling jobs pay per hour?

As of May 30, 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 job?

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 are the key skills and qualifications needed to thrive in the Data Modeling position, 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.

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 four types of data modeling?

Data modeling in data analysis and database design typically includes four main types: conceptual, logical, physical, and dimensional modeling. Conceptual models define high-level data structures, logical models specify detailed structures without physical considerations, physical models translate logical models into actual database schemas, and dimensional models are used in data warehousing for analytical purposes. Data modelers often use tools like ER diagrams and require understanding of database systems and business requirements.
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Data Modeling jobs near you
Salesforce Data and Marketing Cloud Intelligence Architect

Salesforce Data and Marketing Cloud Intelligence Architect

Elavon

Denver, CO • On-site

$65.50 - $84.50/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago

Elavon, Inc. rating

8.8

Company rating: 8.8 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

26th of 424 rated business services

Job description

At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions, enabling the communities we support to grow and succeed in the right ways, all more confidently and more often-that's what we call the courage to thrive. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive. Try new things, learn new skills and discover what you excel at-all from Day One.

As a wholly owned subsidiary of U.S. Bank, Elavon is committed to building the platforms and ecosystems that help over 1.5 million customers around the world to achieve their financial goals-no matter what they need. From transaction processing to customer service, to driving innovation and launching new products, we're building a range of tailored payment solutions powered by the latest technology. As part of our team, you can explore what motivates and energizes your career goals: partnering with our customers, our communities, and each other.

Job Description

A Salesforce Datorama (Marketing Cloud Intelligence) Architectdesigns and implements complex data harmonization, ingestion, and visualization strategies, transforming multi-source marketing data into actionable insights. They lead API/ETL integrations, create advanced dashboards, and ensure data governance for enterprise-level marketing analytics.

Key Responsibilities

  • Data Architecture & Modeling:Design data models, normalize, and harmonize disparate data sources (media, CRM, web, email) within MCI.

  • Implementation & Integration:Build robust ETL pipelines, custom connectors, and API integrations.

  • Advanced Analytics:Configure calculated dimensions, measures, and complex widgets to drive KPI frameworks.

  • Governance & Optimization:Enforce data governance, naming conventions, and optimize performance for high-volume datasets.

  • QA & Release Management:Implement QA processes for data accuracy, testing, and system deployment.

Required Skills and Qualifications

  • Experience:5+ years in marketing data engineering, with 3+ years specifically in Salesforce Datorama (MCI).

  • Technical Expertise:Strong SQL skills, knowledge of API-based integrations, and experience with data modeling and ETL.

  • Marketing Domain Knowledge:Deep understanding of marketing channels, KPI frameworks, and attribution.

  • Platform Knowledge:Proficiency in CRM and marketing automation platforms.

  • Proven experience with data modeling, relational databases (SQL), data mapping, and API integration.

  • Deep understanding of Salesforce schema, SOQL,Data Loader, ETL tools, and master data management.

Desired Certifications

  • Salesforce Certified Data Architect

  • Platform Data Architect.

  • Marketing Cloud Intelligence Accredited Professional

.

Basic Qualifications
- Bachelor's degree, or equivalent work experience
- Six or more years of related experience in marketing and marketing strategy with proven ability to deliver results

If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to ourdisability accommodations for applicants.

Benefits:

Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:

  • Healthcare (medical, dental, vision)

  • Basic term and optional term life insurance

  • Short-term and long-term disability

  • Pregnancy disability and parental leave

  • 401(k) and employer-funded retirement plan

  • Paid vacation (from two to five weeks depending on salary grade and tenure)

  • Up to 11 paid holiday opportunities

  • Adoption assistance

  • Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

Review our full benefits available by employment status here.

U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.

E-Verify

U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about theE-Verify program.

The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $111,095.00 - $130,700.00

U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.

Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.

Posting may be closed earlier due to high volume of applicants.

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