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Dbt Jobs in Colorado (NOW HIRING)

Senior Snowflake Data Engineer

Broomfield, CO · On-site

$106K - $145K/yr

The ideal candidate will have strong expertise in Snowflake, dbt, Python, ETL/ELT, and data warehousing, with experience building scalable data pipelines and modern cloud-based data platforms.

Data Engineer III

Denver, CO · On-site +1

$117K - $141K/yr

Build and maintain dbt models, reusable transformations, and analytics engineering frameworks. * Design optimized BigQuery data models, datasets, views, and performance tuning strategies. * Implement ...

Data Engineer III

Denver, CO · On-site

$117K - $141K/yr

Build and maintain dbt models, reusable transformations, and analytics engineering frameworks. * Design optimized BigQuery data models, datasets, views, and performance tuning strategies. * Implement ...

About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we're delivering the ...

About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we're delivering the ...

New

Data Manager

Englewood, CO · On-site

$130/hr

This role focuses on robust database development, data modeling, and transformation workflows using dbt (Data Build Tool) and other applications. The Data Manager will be responsible for overseeing a ...

Data Engineering Lead

Denver, CO · Hybrid

$118K - $141K/yr

Take ownership of a Snowflake-based data warehouse incorporating dbt best practices. * Write and iterate on complex SQL for large datasets while maintaining strong performance and accuracy. * Ensure ...

Showing results 21-40

Dbt information

See Colorado salary details

$41K

$73.7K

$101.5K

How much do dbt jobs pay per year?

As of Aug 12, 2026, the average yearly pay for dbt in Colorado is $73,692.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,900.00 and $83,600.00 per year, depending on experience, location, and employer.

How does a dbt developer typically collaborate with data analysts and engineers in a project setting?

As a dbt Developer, you will work closely with data analysts to translate business requirements into data models and with data engineers to ensure data pipelines are reliable and optimized. Collaboration often includes participating in code reviews, aligning on data definitions, and troubleshooting data quality issues together. Open communication and frequent syncs are essential, as dbt projects thrive on version control, documentation, and shared ownership of data transformations. This teamwork helps ensure that analytics-ready datasets are accurate, scalable, and meet the organization's needs.

What is the difference between Dbt vs Data Analyst?

AspectDbtData Analyst
Required CredentialsSQL, data modeling, version controlStatistics, Excel, SQL (sometimes)
Work EnvironmentData engineering teams, analytics engineeringBusiness units, reporting teams
Industry UsageData transformation, pipeline developmentData interpretation, reporting
Common Search IntentBuilding data models, pipelinesAnalyzing data, creating reports

While Dbt focuses on transforming and modeling data within data warehouses, Data Analysts primarily interpret data and generate reports for business insights. Dbt is more technical and engineering-oriented, whereas Data Analysts work closely with business teams to communicate findings.

What is a dbt job?

dbt jobs refer to tasks or roles related to dbt (data build tool), an open-source command-line tool that helps data analysts and engineers transform data in their warehouse more effectively. dbt enables users to write modular SQL queries, perform data transformations, and manage data models using version control. Professionals working with dbt are typically responsible for building and maintaining data transformation pipelines, testing data quality, and documenting data models to ensure reliable analytics.

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

To thrive as a DBT Developer, you need strong SQL skills, knowledge of data modeling concepts, and experience with data warehouses like Snowflake or BigQuery, often backed by a degree in computer science or a related field. Familiarity with DBT Cloud or CLI, version control systems like Git, and workflow orchestration tools such as Airflow is typically required. Attention to detail, problem-solving abilities, and effective communication are valuable soft skills for collaborating with data teams and ensuring data quality. These competencies are crucial for building reliable, scalable data pipelines that support accurate analytics and business decision-making.
What cities in Colorado are hiring for Dbt jobs? Cities in Colorado with the most Dbt job openings:
Infographic showing various Dbt job openings in Colorado as of August 2026, with employment types broken down into 65% Full Time, 24% Part Time, and 11% Contract. Highlights an 69% Physical, 3% Hybrid, and 28% Remote job distribution, with an average salary of $73,692 per year, or $35.4 per hour.

Senior Snowflake Data Engineer

2T Consulting

Broomfield, CO • On-site

$106K - $145K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

We are seeking an experienced Senior Snowflake Data Engineer to design, develop, and optimize enterprise-scale data engineering solutions. The ideal candidate will have strong expertise in Snowflake, dbt, Python, ETL/ELT, and data warehousing, with experience building scalable data pipelines and modern cloud-based data platforms.

Primary Responsibilities
  • Design, develop, and maintain scalable data engineering solutions using Snowflake, dbt, and Python.
  • Build and optimize high-performance ETL/ELT pipelines and enterprise data warehouse solutions.
  • Design and implement scalable data models to support analytics and business intelligence.
  • Optimize data processing, storage, and query performance within Snowflake.
  • Leverage Cortex AI/GenAI capabilities for code generation, data validation, and pipeline optimization.
  • Collaborate with architects, business stakeholders, and cross-functional teams to deliver enterprise data solutions.
  • Lead technical design, implementation, and delivery of data engineering projects.
  • Mentor development teams and promote best practices in data engineering, CI/CD, and data governance.
  • Ensure high-quality, secure, and production-ready data solutions.
Required Qualifications
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
  • 10+ years of experience in Data Engineering.
  • Strong hands-on experience with Snowflake, dbt, and Python.
  • Expertise in ETL/ELT pipeline development and enterprise data warehousing.
  • Strong knowledge of data modeling, data transformation, and performance optimization.
  • Experience with CI/CD pipelines, version control, and data governance best practices.
  • Exposure to Snowflake Cortex AI or Generative AI capabilities is highly preferred.
  • Excellent analytical, problem-solving, stakeholder management, and communication skills.
Preferred Qualifications
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Knowledge of orchestration tools such as Apache Airflow.
  • Experience with DevOps, automation, and Infrastructure as Code (IaC).
  • Snowflake certifications are a plus.
  • Experience working in Agile/Scrum environments.