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Dbt Data Engineer Jobs in Colorado (NOW HIRING)

2T Consulting

$99K - $135K/yr

... engineering solutions ... The ideal candidate will have strong expertise in Snowflake, dbt, Python, ETL/ELT, and data ...

2T Consulting

$112K - $153K/yr

... engineering solutions ... The ideal candidate will have strong expertise in Snowflake, dbt, Python, ETL/ELT, and data ...

New

Releady

Data Engineer, Principal

Denver, CO · On-site

$117.10 - $130.87/hr

OVERVIEW Releady is partnering with a leading healthcare technology company to hire a Data Engineer ... Hands‑on experience with SQL, Python, DBT Cloud, and DBT Core; expert‑level fluency in NoSQL ...

Releady

Data Engineer, Principal

Denver, CO · On-site +1

$170K - $190K/yr

OVERVIEW Releady is partnering with a leading healthcare technology company to hire a Data Engineer ... Hands-on experience with SQL, Python, DBT Cloud, and DBT Core; expert-level fluency in NoSQL and ...

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Dbt Data Engineer information

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.

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 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.

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 are popular job titles related to Dbt Data Engineer jobs in Colorado?

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

What job categories do people searching Dbt Data Engineer jobs in Colorado look for?

The top searched job categories for Dbt Data Engineer jobs in Colorado are:

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

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

Dbt Data Engineer jobs near you
Infographic showing various Dbt Data Engineer 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.

Senior Snowflake Data Engineer

2T Consulting

East Lake, CO

$107K - $145K/yr

Full-time

Posted 16 days ago

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.

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