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Data Dimensions Jobs in Colorado (NOW HIRING)

The Data Analyst supports performance and quality improvement efforts through the analysis of ... relevant dimensions to identify meaningful trends and potential contributing factors.Conduct ...

GCP DATA ENGINEER

Denver, CO · On-site

$117K - $141K/yr

... dimensions, CDC, data normalization ▸ Experience integrating APIs, JDBC/ODBC connectors, and file-based data sources General ▸ Solid understanding of distributed systems, data warehousing ...

Define enterprise data modeling standards: conformed dimensions, gold-layer star schemas, slowly changing dimensions, grain, and naming. * Partner with the Enterprise Architect on the data governance ...

Cloud Data Warehouse Engineer III

Denver, CO · On-site

$57.50 - $76.75/hr

Build and maintain fact tables, dimensions, star schemas, snowflake schemas, and slowly changing dimensions (SCDs). * Develop curated data marts and trusted datasets for reporting, analytics, and ...

Cloud Data Warehouse Engineer III

Denver, CO · Remote

$57.50 - $76.75/hr

Build and maintain fact tables, dimensions, star schemas, snowflake schemas, and slowly changing dimensions (SCDs). * Develop curated data marts and trusted datasets for reporting, analytics, and ...

Define enterprise data modeling standards: conformed dimensions, gold-layer star schemas, slowly changing dimensions, grain, and naming. * Partner with the Enterprise Architect on the data governance ...

Cloud Engineer III

Denver, CO · On-site

$57.50 - $76.75/hr

Build and maintain fact tables, dimensions, star schemas, snowflake schemas, and slowly changing dimensions (SCDs).* Develop curated data marts and trusted datasets for reporting, analytics, and ...

Senior Product Owner, Data Insights

Denver, CO · On-site +1

$130K - $171K/yr

Senior Product Owner, Data Insights Location: We prioritize candidates who reside in the Denver, CO ... Our Performance Culture We measure performance across two key dimensions: How you perform your role ...

Senior Product Owner, Data Insights

Denver, CO · On-site +1

$130K - $171K/yr

Senior Product Owner, Data Insights Location: We prioritize candidates who reside in the Denver, CO ... Our Performance Culture We measure performance across two key dimensions: How you perform your role ...

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Data Dimensions information

What are data dimensions?

Data dimensions are attributes or perspectives by which data can be categorized, organized, and analyzed. In the context of data management and analytics, dimensions such as time, geography, product, or customer allow users to slice and dice data for deeper insights. For example, a sales dataset might have dimensions like region and sales period, enabling users to analyze performance by different locations or times. Understanding data dimensions is essential for building effective reports, dashboards, and business intelligence solutions. They help transform raw data into meaningful information for decision-making.

What are the key skills and qualifications needed to thrive as a data analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in mathematics or computer science. Familiarity with data analysis tools like SQL, Excel, Python, R, and data visualization platforms such as Tableau is typically required. Excellent problem-solving, attention to detail, and effective communication skills set top performers apart in this role. These skills are essential for extracting meaningful insights from data, supporting business decisions, and clearly conveying findings to stakeholders.

What are some common challenges faced by professionals working in data dimensions roles, and how can they overcome them?

Professionals in data dimensions roles often encounter challenges related to ensuring data quality, consistency, and proper integration across multiple data sources. Managing large volumes of data and maintaining accurate dimensional hierarchies can be complex, especially in organizations with rapidly evolving datasets. To overcome these challenges, it's important to establish clear data governance practices, collaborate closely with data engineers and business analysts, and leverage robust data management tools. Continuous learning and staying updated on best practices in data modeling and warehousing also contribute to long-term success in this field.

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

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

What cities in Colorado are hiring for Data Dimensions jobs?

Cities in Colorado with the most Data Dimensions job openings:

Infographic showing various Data Dimensions job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Cloud Data Warehouse Engineer III

Denver, CO • On-site

ModivCare Solutions, LLC
Health Care and Social Assistance • 10K+ employees

$117K - $141K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


Modivcare rating

6.6

Company rating: 6.6 out of 10

Based on 47 frontline employees who took The Breakroom Quiz


Job description

Are you passionate about making a difference in people's lives? Do you enjoy working in a service-oriented industry? If so, this opportunity may be the right fit for you! Modivcare is looking for an experienced Cloud Engineer III to join our team, responsible for building scalable data pipelines, developing dimensional data models, and creating the transformation layer that powers reporting, self-service analytics, operational applications, and AI initiatives.

dbt Engineering & Data Transformation
  • Design, develop, and maintain dbt projects, models, macros, snapshots, tests, and reusable transformation frameworks.
  • Build and maintain enterprise data transformation pipelines using dbt Core and advanced SQL.
  • Develop reusable business logic and data models that support reporting, self-service analytics, operational applications, and AI initiatives.
  • Implement dbt best practices including modular design, testing, documentation, lineage tracking, and source control.
  • Optimize dbt models and transformation workloads for performance, scalability, and maintainability.
  • Support CI/CD deployment processes and automated testing for dbt projects.
  • Collaborate with business and technical teams to translate requirements into scalable and reusable transformation logic.
Data Modeling & Data Warehouse Development
  • Develop and maintain cloud data warehouse solutions using AWS services including Redshift, S3, Glue, Athena, Lambda, and Step Functions.
  • Design and maintain dimensional data models supporting reporting, self-service analytics, and operational data needs.
  • Build and maintain fact tables, dimensions, star schemas, snowflake schemas, and slowly changing dimensions (SCDs).
  • Develop curated data marts and trusted datasets for reporting, analytics, and downstream applications.
  • Partner with business and technical teams to translate requirements into scalable and reusable data models.
  • Optimize data structures and query performance for large-scale analytical workloads.
  • Follow established standards and best practices for data modeling, SQL development, and data warehouse design.
Data Engineering & Pipeline Development
  • Design, build, and maintain batch and near real-time data pipelines supporting enterprise data integration requirements.
  • Develop ELT/ETL workflows using AWS services, dbt, SQL, and Python.
  • Integrate data from operational systems, APIs, SaaS applications, healthcare platforms, and third-party data providers.
  • Support ingestion and transformation of structured, semi-structured, and unstructured data.
  • Optimize data processing workflows for scalability, reliability, and cost efficiency.
  • Troubleshoot and resolve data pipeline and data warehouse performance issues.
Collaboration & Delivery
  • Partner with application teams, business stakeholders, BI developers, and analytics teams to understand data requirements.
  • Deliver trusted and well-documented datasets that support reporting and self-service analytics.
  • Participate in Agile development processes including sprint planning, estimation, code reviews, testing, and release management.
  • Work effectively with remote and offshore teams to deliver data platform initiatives.
Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Data Engineering, Software Engineering, or a related field (equivalent combination of education and experience will be considered).
  • Five (5) or more years of experience in data warehousing, cloud data engineering, or related data platform roles.
  • Experience designing and developing enterprise cloud data warehouse solutions.
  • Experience building enterprise ELT/ETL solutions and data integration pipelines.
  • Experience working with modern cloud data warehouse environments.
  • Experience supporting reporting, business intelligence, self-service analytics, and enterprise data platforms.
  • Experience working in healthcare or another regulated industry is preferred.
  • Strong hands‑on experience with dbt Core, including development of models, macros, snapshots, tests, documentation, lineage, and reusable transformation frameworks.
  • Advanced knowledge of SQL, including complex joins, window functions, common table expressions (CTEs), analytical transformations, query tuning, and performance optimization.
  • Knowledge of dimensional data modeling techniques, including fact tables, dimensions, star schemas, snowflake schemas, and slowly changing dimensions (SCDs).
  • Proficiency with Amazon Redshift and modern cloud data warehouse technologies.
  • Knowledge of AWS cloud services, including Redshift, S3, Glue, Lambda, Athena, and Step Functions.
  • Proficiency in Python for data engineering, automation, and scripting.
  • Knowledge of Git, CI/CD, and modern software development best practices.
  • Ability to design, develop, and optimize batch, micro‑batch, and near real‑time data pipelines.
  • Ability to build curated data marts and trusted datasets that support reporting, self-service analytics, and downstream applications.
  • Strong analytical, problem‑solving, communication, collaboration, and organizational skills.
  • Ability to work effectively in Agile environments and collaborate with remote and offshore teams.

Salary: $97,200.00 – $140,000.

The physical demands described are representative of those that must be met by an employee to successfully perform the essential functions of the position. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions of the job. Primarily seated work; extensive computer and telephone use; occasional standing, walking, reaching, bending, and lifting up to 10 lbs.

Modivcare offers a comprehensive benefits package to include the following: Medical, Dental, and Vision insurance; Employer Paid Basic Life Insurance and AD&D Voluntary Life Insurance (Employee/Spouse/Child); Health Care and Dependent Care Flexible Spending Accounts; Pre‑Tax and Post‑Tax Commuter and Parking Benefits; 401(k) Retirement Savings Plan with Company Match; Paid Time Off; Paid Parental Leave; Short‑Term and Long‑Term Disability; Tuition Reimbursement; Employee Discounts (retail, hotel, food, restaurants, car rental, and much more!).

Modivcare is an Equal Opportunity Employer. EEO is The Law – click here for more information. Equal Opportunity Employer Minorities/Women/Protected Veterans/Disabled. We consider all applicants for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, handicap or disability, or status as a Vietnam‑era or special disabled veteran in accordance with federal law.

If you need assistance, please reach out to us at hr.recruiting@modivcare.com. Due to system issues, if you are unable to search for your application, please reach out to the Talent Acquisition team via email at hr.recruiting@modivcare.com and a member of the Talent Acquisition team will reach out to you within the next 48 business hours.

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