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Dbt Data Engineer Jobs in Colorado (NOW HIRING)

Data Manager

Englewood, CO · On-site

$130 - $160/hr

Lead the design, development, and maintenance of scalable data models and transformation workflows using dbt. * Manage and mentor a distributed team of 7-8 data engineers and analysts. * Oversee ...

Engineers at this level are expected to work independently on dbt model development within ... Design, build, and maintain dbt models that transform source data into governed, analytics-ready ...

Analytics Engineer II

Denver, CO · On-site

$90 - $111/hr

Engineers at this level are expected to work independently on dbt model development within ... Design, build, and maintain dbt models that transform source data into governed, analytics-ready ...

About the Role Fivetran and dbt Labs are building data pipelines to power the modern data stack for thousands of companies. We're looking for an engineering manager to lead our Metadata team, which ...

New

Cloud Engineer III

Denver, CO · On-site

$97.20 - $140/hr

This role...****dbt Engineering & Data Transformation*** Design, develop, and maintain dbt projects, models, macros, snapshots, tests, and reusable transformation frameworks.* Build and maintain ...

AI Data Analytics Engineer

Fort Collins, CO · On-site

$102 - $146.90/hr

... dbt), LLM APIs, vector databases, embeddings, and orchestration frameworks such as LangChain ... Solid engineering fundamentals: data modeling, APIs, cloud platforms, CI/CD, testing, and ...

AI Data Analytics Engineer

Fort Collins, CO · On-site

$113K - $135K/yr

... dbt), LLM APIs, vector databases, embeddings, and orchestration frameworks such as LangChain ... Solid engineering fundamentals: data modeling, APIs, cloud platforms, CI/CD, testing, and ...

... dbt), LLM APIs, vector databases, embeddings, and orchestration frameworks such as LangChain ... Solid engineering fundamentals: data modeling, APIs, cloud platforms, CI/CD, testing, and ...

Senior Forward Deployed Engineer- AWS

Denver, CO · On-site

$107K - $147K/yr

Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation * Experience with MLOps/LLMOps ...

Lead Forward Deployed Engineer - AWS

Denver, CO · On-site

$105K - $139K/yr

Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation * Experience with MLOps/LLMOps ...

Senior Analytics Engineer

Englewood, CO

$103K - $141K/yr

Where our Data Engineers own ingestion and the Bronze layer, you own the path from modeled data to ... Have experience across the modern data stack (we use dbt, Snowflake, Fivetran, Prefect) and an ...

Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation * Experience with MLOps/LLMOps ...

Showing results 41-60

Dbt Data Engineer information

What is a dbt data engineer?

Dbt Data Engineers are professionals who specialize in using dbt (data build tool) to transform, test, and document data within modern data warehouses. They build and maintain data pipelines by writing SQL-based transformation scripts and ensuring data quality through automated testing. Dbt Data Engineers collaborate closely with analytics teams to create reliable, well-documented datasets that support business intelligence and analytics initiatives.

How does a dbt data engineer typically collaborate with data analysts and other stakeholders?

As a Dbt Data Engineer, you'll work closely with data analysts, business intelligence teams, and sometimes product managers to translate business requirements into reliable, well-structured data models. Collaboration often involves reviewing transformation logic, ensuring data quality, and providing documentation or training on Dbt models. You may also participate in regular stand-ups or data modeling sessions to align on priorities and address data challenges collaboratively. Effective communication skills are key, as you'll bridge the gap between raw data and actionable insights.

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

To thrive as a Dbt Data Engineer, you need strong SQL skills, experience in data modeling, and a solid understanding of ELT/ETL pipelines, often supported by a degree in computer science or a related field. Familiarity with dbt (data build tool), version control systems like Git, and cloud data platforms such as Snowflake or BigQuery is typically required. Attention to detail, problem-solving abilities, and effective collaboration are essential soft skills for this role. These skills ensure robust, scalable, and maintainable data transformations that drive reliable analytics and business insights.

What is the difference between Dbt Data Engineer vs Data Analyst?

AspectDbt Data EngineerData Analyst
Primary FocusBuilding and maintaining data transformation pipelines using dbtAnalyzing data to generate reports and insights
Skills & ToolsSQL, dbt, ETL pipelines, cloud platformsSQL, Excel, BI tools, data visualization
Work EnvironmentData engineering teams, cloud data platformsBusiness units, reporting teams
CertificationsSQL, cloud certifications, dbt trainingData analysis, visualization certifications

While both roles work with data and SQL, Dbt Data Engineers focus on developing scalable data transformation pipelines using dbt, whereas Data Analysts primarily analyze data to produce reports and insights. The roles complement each other within data teams but differ in technical scope and responsibilities.

What cities in Colorado are hiring for Dbt Data Engineer jobs?

Cities in Colorado with the most Dbt Data Engineer job openings:

Infographic showing various Dbt Data Engineer 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.

$130 - $160/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 4 days ago


Job description

10800 E Geddes Ave
Suite 200
Englewood, CO 80112, USA

Compensation

$130-160k

Key Responsibilities
  • Lead the design, development, and maintenance of scalable data models and transformation workflows using dbt.
  • Manage and mentor a distributed team of 7–8 data engineers and analysts.
  • Oversee development and performance tuning of databases and data warehouses, ensuring efficiency and reliability.
  • Collaborate closely with the Director – Servicing Analytics and cross-functional stakeholders to align data infrastructure with business goals.
  • Ensure data accuracy, integrity, and governance across the servicing technology domain.
  • Establish and enforce standards for data modeling, documentation, testing, and version control.
  • Guide the team in implementing best practices for ELT pipelines and cloud-based data solutions.
  • Support data integration and migration efforts between systems and platforms.
  • Monitor system performance and proactively implement improvements to enhance scalability and reduce latency.
  • Ensure programs to notify downstream users are in place and tested, proactively alerting end users of any issues or impacts.
Qualifications
  • Bachelor’s or Master’s degree in computer science, Data Engineering, Information Systems, or a related field. Years of experience can be considered a replacement for an advanced degree.
  • 5+ years of experience in data management or engineering roles, including team leadership.
  • Proven experience managing a distributed team, including offshore resources.
  • Hands‑on expertise with dbt and modern data transformation workflows.
  • Strong proficiency in SQL and experience with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift).
  • Deep understanding of data architecture, data modeling, and ETL pipelines. Preference for experience with dbt.
  • Familiarity with version control tools like Git and workflow orchestration tools.
  • Excellent organizational, communication, and people‑management skills.
  • Experience with cloud platforms (AWS, GCP, or Azure). Preference for Azure experience.
  • Familiarity with data governance, compliance standards, and security best practices.
  • Knowledge of data cataloging and metadata management tools.
Benefits
  • Competitive salary
  • Medical, Dental, Vision
  • Accidental Death
  • Long‑Term Disability, Short‑Term Disability
  • FSA, HSA
  • 401K
  • Basic Life, Voluntary Life
  • Paid Parental Leave
  • Performance‑based bonus based on position and department

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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