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Senior Data Warehouse Developer Jobs in Colorado

HCVT

Senior Data & Analytics Specialist

Denver, CO · On-site

This role combines expertise in data engineering, business intelligence, advanced analytics, and ... Design, develop, and maintain the firm's enterprise data platform, including data warehouses, data ...

HCVT

Senior Data & Analytics Specialist

Denver, CO · Hybrid

This role combines expertise in data engineering, business intelligence, advanced analytics, and ... Design, develop, and maintain the firm's enterprise data platform, including data warehouses, data ...

Wyyerd Group

Data Engineer

Boulder, CO · On-site

$125 - $150/hr

This role is intentionally flexible and may be filled at either the mid or senior level based on ... Expand data warehouse and analytics capabilities * Transform program data for use in reporting ...

fotf

Sr. Data Engineer, Data Products

Colorado Springs, CO · On-site

$113K - $135K/yr

The Sr. Data Engineer, Data Products position exists to design, build, and optimize certified data ... Warehouse Manager. * Develops and maintains scheduled automation (Snowflake Tasks, Streams, or ...

fotf

Sr. Data Engineer, Data Products

Colorado Springs, CO · On-site

$113K - $135K/yr

The Sr. Data Engineer, Data Products position exists to design, build, and optimize certified data ... Warehouse Manager. * Develops and maintains scheduled automation (Snowflake Tasks, Streams, or ...

Lantern

Senior Data & AI Consultant

Denver, CO · On-site

$109K - $148K/yr

Build semantic data models and design data warehouses, lakes, and lakehouses for analytics, AI, and ... Lead and mentor cross-functional teams, promoting best practices in data engineering, solution ...

Generac

Senior Data Architect

Denver, CO · On-site

$69.25 - $92.75/hr

This role sits at the intersection of architecture, data engineering, and platform strategy-owning ... Strong experience with data warehouse, data lake, andlakehouse design patterns * Experience ...

Generac

Senior Data Architect

Fort Collins, CO · On-site

$66.50 - $89/hr

This role sits at the intersection of architecture, data engineering, and platform strategy-owning ... Strong experience with data warehouse, data lake, andlakehouse design patterns * Experience ...

Thaloz

CO - Sr. Data Scientist - 229

Denver, CO · On-site

$150 - $200/hr

You will partner with Engineering, Product, Risk, and Finance to turn ambiguous problems into ... Experience with modern data tooling and warehouses such as BigQuery or Snowflake and transformation ...

CEDENT

Senior Data Engineer

Denver, CO

$40 - $60/hr

Onsite in Denver, CO W2 only Senior Data Engineer Requirements: * 8+ years experience with BI tools (Power BI, Tableau, Amazon QuickSight). * 8+ years in data engineering (ETL, data transformation ...

Stantec

Senior Data Architect

Denver, CO · On-site

$125 - $150/hr

Senior Data Architect At Stantec, we have some of the world's leading professionals passionate ... Provide technical leadership and mentorship to database administrators, database developers, and ...

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All JobsData Warehouse Developer JobsSenior Data Warehouse Developer JobsSenior Data Warehouse Developer Jobs in Colorado

Senior Data Warehouse Developer information

See Colorado salary details

$79.9K

$126K

$155.1K

How much do senior data warehouse developer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for senior data warehouse developer in Colorado is $126,045.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,700.00 and $136,200.00 per year, depending on experience, location, and employer.

What is a senior data warehouse developer?

Senior Data Warehouse Developers are experienced IT professionals who design, build, and maintain large-scale data storage solutions known as data warehouses. Their work involves extracting, transforming, and loading (ETL) data from various sources to ensure it is structured and accessible for business intelligence and analytics. They collaborate with data analysts, engineers, and business stakeholders to optimize data architecture and ensure high performance, security, and reliability of data systems. Typically, they also mentor junior developers and play a key role in setting data management standards and best practices.

How does a senior data warehouse developer typically collaborate with data analysts and business stakeholders?

Senior Data Warehouse Developers frequently work closely with data analysts and business stakeholders to understand specific reporting requirements and translate them into efficient data models. They participate in meetings to gather requirements, clarify data needs, and explain technical constraints or possibilities. Additionally, they support analysts by ensuring data accuracy, optimizing query performance, and troubleshooting data issues. This collaborative approach helps align the data warehouse solutions with business goals and ensures stakeholders receive actionable insights.

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

To thrive as a Senior Data Warehouse Developer, you need advanced SQL expertise, strong data modeling skills, and experience with ETL processes, typically supported by a degree in computer science or a related field. Proficiency with data warehouse platforms (such as Snowflake, Amazon Redshift, or Microsoft SQL Server), ETL tools (like Informatica or Talend), and relevant certifications are highly valued. Exceptional problem-solving abilities, attention to detail, and effective communication help you collaborate with stakeholders and ensure data quality. These skills and qualities are crucial for designing scalable data solutions, optimizing performance, and supporting business intelligence initiatives.

What is the difference between Senior Data Warehouse Developer vs Data Warehouse Architect?

AspectSenior Data Warehouse DeveloperData Warehouse Architect
CredentialsTypically requires SQL, ETL, and data modeling certifications; often a bachelor's degree in CS or related fieldSimilar certifications; often a master's degree or advanced certifications in data architecture or cloud platforms
Work EnvironmentFocuses on developing, testing, and maintaining data warehouse solutionsDesigns overall data architecture, oversees implementation, and ensures scalability
Employer & Industry UsageUsed across industries for data integration and reportingUsed in organizations needing complex data systems and strategic data planning

The main difference is that a Senior Data Warehouse Developer primarily builds and maintains data warehouses, while a Data Warehouse Architect designs the overall data architecture and strategy. Both roles require similar technical skills, but the architect has a broader, strategic focus.

What cities in Colorado are hiring for Senior Data Warehouse Developer jobs?

Cities in Colorado with the most Senior Data Warehouse Developer job openings:

Infographic showing various Senior Data Warehouse Developer job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $126,045 per year, or $60.6 per hour.

Senior Data & Analytics Specialist

HCVT

Denver, CO • On-site

Full-time

Posted 21 days ago

Job description

Come for the Challenge. Stay for the Experience.
At HCVT, we believe every challenge presents an opportunity to positively impact our clients and people. Talented and ambitious individuals who seek limitless professional opportunities thrive at HCVT. Our team is known for its technical skill and ability to help clients address complex business issues all while investing in and supporting our people to provide a rewarding employee experience.
What We Do and Who We Serve
We offer Tax, Audit, Advisory, and Business Management services to our clients, which include private and public companies, high-net-worth individuals, and family offices. We also specialize in serving clients across the following industries: Private Equity, Real Estate & Hospitality, Media & Entertainment, High-Net-Worth Individuals, Manufacturing & Distribution, Professional Services Firms, Technology, Healthcare, Nonprofit Organizations, and Affordable Housing.
We Live Our Core Values
Our values guide us in our day-to-day interactions with our clients and each other-Integrity at our Core; Building Success Together; Passion for Excellence; and Diversity, Equity, & Inclusion. We are focused and committed to the needs of our clients and our team.
Discover How Far You Can Go.
Opportunities abound at HCVT. Our firm has experienced steady growth since its founding in 1991 and continues to expand its client service offerings, creating new opportunities for professionals to grow their careers. We make significant investments in training and provide interesting, diverse, and intellectually stimulating work for our teams-the kind of work that helps you develop and refine your skills to advance in the profession.
Hybrid Work
HCVT currently offers a hybrid work model that allows eligible employees to work both remotely and in the office, based on business needs and team coordination. When working remotely, employees are expected to meet the same performance standards, adhere to the same policies, and maintain the same level of communication, collaboration, and responsiveness as working in the office. Please note that this arrangement is not guaranteed and subject to change at any time. We will strive to provide reasonable notice of any changes to your work location or schedule whenever possible.
About the Role
The Senior Data & Analytics Specialist is responsible for designing, building, and advancing the firm's enterprise data and analytics capabilities. This role combines expertise in data engineering, business intelligence, advanced analytics, and machine learning to deliver scalable data platforms, actionable business insights, and AI-ready data assets. Working closely with business and technology leaders, the position transforms enterprise data into trusted information that improves decision-making, operational efficiency, and client outcomes.
As the Senior Data & Analytics Specialist, you will be responsible for, but not limited to, the following:
  • Enterprise Data Platform & Engineering: Design, develop, and maintain the firm's enterprise data platform, including data warehouses, data lakes, semantic models, and data pipelines. Build scalable ETL/ELT processes that integrate information across Finance, Tax, Audit, Advisory, Operations, and other business systems while ensuring data quality, reliability, governance, and performance. Define data models, standards, and architecture that support reporting, analytics, machine learning, and AI initiatives.
  • Data Analytics & Business Intelligence: Develop modern analytics solutions that provide meaningful insights into business performance and operations. Design and deliver executive dashboards, KPIs, operational reporting, and self-service analytics using Power BI and Microsoft Fabric. Partner with business stakeholders to translate analytical requirements into scalable reporting solutions while establishing best practices for data visualization, metric definitions, and analytics governance.
  • Advanced Analytics & Data Science: Apply statistical analysis, predictive modeling, forecasting, and machine learning techniques to solve complex business problems. Build analytical models that improve operational efficiency, identify trends, predict outcomes, and support strategic decision-making. Evaluate model performance, improve accuracy, and operationalize analytical solutions for enterprise use.
  • AI-Ready Data & Intelligent Solutions: Develop governed, high-quality data assets that enable AI applications, intelligent automation, and generative AI solutions. Support modern AI capabilities through semantic models, vector-ready datasets, retrieval pipelines, and data preparation processes that improve the accuracy, reliability, and scalability of AI-enabled business solutions. Partner with software engineering teams to integrate analytics and machine learning capabilities into enterprise applications and AI agents.
  • Technical Leadership & Data Strategy: Provide technical leadership in enterprise data architecture, analytics technologies, and modern data engineering practices. Evaluate emerging tools and technologies, recommend improvements to the firm's data ecosystem, and contribute to the long-term analytics and AI strategy. Promote engineering best practices, data governance standards, automation, and continuous improvement across the analytics platform.

We expect that our Senior Data & Analytics Specialist will have the following qualifications:
  • 5+ years of progressive experience in data engineering, data analytics, data science, business intelligence, or related technical disciplines.
  • Degree in Computer Science, Data Science, Analytics, Engineering, or a related technical discipline.
  • Strong experience designing relational databases, dimensional models, data warehouses, and scalable data pipelines.
  • Advanced proficiency with SQL and Python, including data transformation, automation, and analytical development.
  • Experience designing and implementing ETL/ELT processes, data integration solutions, and enterprise data models.
  • Working knowledge of statistical analysis, predictive modeling, machine learning, and model evaluation techniques.
  • Knowledge of DevOps, CI/CD, Git, and Infrastructure-as-Code practices for analytics platforms.
  • Experience with data governance, data quality, metadata management, and enterprise analytics best practices.
  • Strong analytical thinking, technical problem-solving, and the ability to translate business requirements into scalable data solutions.
  • Excellent communication skills with the ability to explain complex technical concepts to business stakeholders.

Preferred Qualifications
  • Experience within professional services, consulting, financial services, or public accounting.
  • Hands-on expertise with Microsoft Fabric, Azure Data Platform, Power BI, or comparable cloud-based analytics platforms.
  • Experience with AI-enabled data architectures, RAG pipelines, semantic search, vector databases, or LLM-powered applications.
  • Experience building production machine learning or advanced analytics solutions.
  • Master's Degree in Computer Science, Data Science, Analytics, Engineering, or a related technical discipline.

You Matter - HCVT provides a variety of benefits and perks that help sustain a healthy and thriving work environment.
  • Visit the Benefits section to learn more.

This salary range is specific to the state(s) listed and takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill set and education; experience and training; licensure and certifications; and other business and organizational needs. A reasonable estimate of the range for this position is $123,000 to $150,000.
Connect with us:
LinkedIn, Instagram, Facebook, HCVT Website
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The ordinance requires employers to state, in all job solicitations, postings and advertisements, that the employer will consider applicants in a manner consistent with the requirements of the Fair Chance Initiative.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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About HCVT

Sourced by ZipRecruiter

Industry

Accounting services

Company size

501 - 1,000 Employees

Headquarters location

Camarillo, CA, US

Year founded

1991

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