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Dbt Data Engineer Jobs in Colorado (NOW HIRING)

Sr. Data Engineer

Denver, CO ยท On-site

$117K - $141K/yr

Job Summary: We're looking for a Sr. Data Engineer with strong data platform experience to help ... AWS/GCP, dbt, AirflowAirbyte, Redshift/BigQuery. Octave's Company Values: The below values drive ...

New

Data Engineer I

Denver, CO ยท On-site

$85K - $115K/yr

Exposure/Experience building with Spark, Airflow, dbt, Kafka or similar technologies * Experience ... This is a hands-on entry-level data engineering role. The successful candidate should be ...

Snowflake Data Engineer

Broomfield, CO ยท On-site

$74.02 - $110.27/hr

Handsโ€‘on experience in Data Warehousing, ETL, SQL, Python, DBT, Snowflake, Cortex Code AI / Gen ... Experience in leading endโ€‘toโ€‘end design and delivery of scalable data engineering solutions ...

Snowflake Data Engineer

Broomfield, CO ยท On-site

$115K - $138K/yr

Required Skill and Experience โ€ข Hands-on experience in Data Warehousing, ETL, SQL, Python, DBT ... data engineering solutions using Snowflake, dbt, and Python, ensuring high-performance data ...

Principal Data Engineer

Denver, CO ยท On-site

$210K - $290K/yr

This role will be responsible for solving complex data engineering challenges, establishing ... Experience with Airflow, dbt, Kafka or similar technologies * Experience building out Lakehouse ...

Data Engineer, Senior

Denver, CO ยท On-site +1

$140K - $170K/yr

The Data Engineer, Senior is a hands-on technical leader who ensures production readiness and ... Hands-on experience with modern data stack tools such as dbt, Snowflake, Databricks, Airflow, or ...

Data Engineer, Senior

Denver, CO ยท On-site

$82.66 - $96.43/hr

The Data Engineer, Senior is a handsโ€‘on technical leader who ensures production readiness and ... Handsโ€‘on experience with modern data stack tools such as dbt, Snowflake, Databricks, Airflow, or ...

Senior Data Engineer

Denver, CO ยท On-site

$155K - $165K/yr

As a Senior Data Engineer, you'll be a key technical leader responsible for building and evolving ... Develop and optimize ELT workflows using modern tools such as Airbyte, Fivetran, dbt, and Python.

Senior Data Engineer

Denver, CO ยท Hybrid

$109K - $148K/yr

About the Role: As a Senior Data Engineer (DE) at Planet, you will own, architect and build ... Experience using modern data tooling (e.g. dbt) for pipeline inputs to customer-facing production ...

Senior Data Engineer

Denver, CO ยท On-site +1

$190K - $220K/yr

The Data Engineering team builds tools and systems that make Gusto's data consistent, user-friendly ... on dbt experience for reliable, testable, and maintainable data transformations. * Hands-on ...

Senior Data Engineer

Denver, CO ยท On-site

$109K - $148K/yr

About the Role: As a Senior Data Engineer (DE) at Planet, you will own, architect and build ... Experience using modern data tooling (e.g. dbt) for pipeline inputs to customer-facing production ...

Senior Data Engineer

Denver, CO ยท On-site

$109K - $148K/yr

About the Role: As a Senior Data Engineer (DE) at Planet, you will own, architect and build ... Experience using modern data tooling (e.g. dbt) for pipeline inputs to customer-facing production ...

Cloud Data Warehouse Engineer III

Denver, CO ยท On-site

$57.50 - $76.75/hr

We're looking for an experienced engineer with strong, hands-on dbt Core experience who enjoys building modern cloud data platforms and turning complex data into business value. Your work will ...

Cloud Data Warehouse Engineer III

Denver, CO ยท Remote

$57.50 - $76.75/hr

We're looking for an experienced engineer with strong, hands-on dbt Core experience who enjoys building modern cloud data platforms and turning complex data into business value. Your work will ...

Data Engineering Lead

Denver, CO ยท Hybrid

$118K - $141K/yr

THE ROLE We are searching for a new role - a Data Engineering Lead - to join our client's team in ... Take ownership of a Snowflake-based data warehouse incorporating dbt best practices. * Write and ...

Data Engineering Lead

Denver, CO ยท On-site

$117K - $141K/yr

THE ROLE We are searching for a new role - a Data Engineering Lead - to join our client's team in ... Take ownership of a Snowflake-based data warehouse incorporating dbt best practices. * Write and ...

Data Engineering Lead

Denver, CO ยท Hybrid

$118K - $141K/yr

THE ROLE We are searching for a new role - a Data Engineering Lead - to join our client's team in ... Take ownership of a Snowflake-based data warehouse incorporating dbt best practices. * Write and ...

Showing results 21-40

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.

Sr. Data Engineer

Octave

Denver, CO โ€ข On-site

$117K - $141K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New


Job description

About the Company:

Octave is a modern behavioral health practice creating a new standard for care delivery that's both high-quality and accessible. With in-person and virtual clinics in multiple states, the company offers evidence-based individual, couples, and family therapy, while pioneering relationships with payers to make care more affordable through insurance. By raising the bar on how care is delivered and how providers are supported, we are building a sustainable system that values equity, affordability, and effectiveness.

Job Summary:

We're looking for a Sr. Data Engineer with strong data platform experience to help evolve our modern data stack and contribute to the foundation of our emerging AI and ML platform. This role sits at the intersection of data engineering, platform architecture and machine learning enablement and will bring high-quality, scalable, and ethical AI into real-world use. You will partner closely with data scientists, analysts, and product managers to ensure our platform supports reliable data pipelines, scalable analytics, in addition to defining new architecture, best practices, and patterns for fellow engineers to inherit. The ideal candidate is both a systems thinker and a hands-on builder who thrives in evolving environments and is passionate about creating reliable data infrastructure that enables peers and partner teams to move faster with data. You will have the opportunity to learn and contribute to a machine learning enablement and will bring high-quality, scalable, and ethical AI into real-world use.

Duties & Responsibilities: 
  • Design, build, and maintain scalable systems for ingestion, transformation, and storage of data, with a focus on testing and observability.
  • Implement frameworks, tooling, and automation to safely increase development velocity. 
  • Develop foundational end-to-end AI/ML workflows from (1) source ingestion and preparation, (2) training and tuning, (3) experimentation and productionisation, and (4) downstream systems integration (EHR modules, micro-services, dashboards).
  • Support iterative model development and production operations and observability (accuracy, drift, bias, fairness, reproducibility). 
  • Contribute to a culture of continuous improvement, knowledge-sharing and mentoring of peer engineers.
  • Leverage AI tools as a core part of daily work (drafting, research, iteration) to improve efficiency, quality, and decision-making.
Required Skills:
  • Proficiency in SQL and Python  with strong familiarity towards modern data engineering frameworks, infrastructure, and tooling
  • Proficiency with data ops best practices, monitoring, pipeline automation, and CI/CD
  • Experience with GCP or AWS data engineering tools, big data frameworks
  • Experience with data modeling and medallion architecture
  • A collaborative mindset, dependable execution, drive to reflect and improve, and humility to ask questions and learn.
  • Comfort using AI tools in day-to-day workflows, with a willingness to continuously rethink and improve how work gets done
  • Curiosity and openness to experimenting with new tools and approaches; prior experience with AI tools is a plus
  • Nice to have:
    • Experience with foundational end-to-end AI/ML workflows from (1) source ingestion and preparation, (2) training and tuning, (3) experimentation and productionization, and (4) downstream systems integration (EHR modules, micro-services, dashboards).
    • Some knowledge of modern compute and ML frameworks/libraries (i.e., Spark, TensorFlow, PyTorch, scikit-learn).
    • Some experience with building production APIs and services, inclusive of MCP servers that expose internal data/services to LLMs.
Education & Experience: 
  • Bachelor's degree (or equivalent) in Computer Science, Data Science, Statistics, Engineering or a related field.
  • 5+ years of experience in data engineering, platform engineering, or ML engineering.
  • Experience working with major cloud data platforms and tools:
  • Preferred experience: 
    • Healthcare, behavioral health, EHR systems, and/or regulated industries. 
    • Specific expertise with: AWS/GCP, dbt, AirflowAirbyte, Redshift/BigQuery.
Octave's Company Values:

The below values drive our day-to-day operations.

  • We're human beings first. We operate with empathy and kindness – with our clients, with our collaborators, and with ourselves.
  • People deserve better than status quo. We're willing to tackle the intractable problems, no matter how big, because someone should. We ask big questions, we craft big solutions, and we challenge ourselves and others to make it happen.
  • No bystanders. No stars. No tourists. Each person has been selected to be here, and with that comes a responsibility to bring your expertise, share your ideas, and help make this company better.
  • Partnership paves the path ahead. We don't operate in a silo, internally or externally. To transform the system, we believe in working with others to create something bigger, better, and stronger.
  • Quality is crucial at scale. Quality is core to our business, and we refuse to sacrifice it as we grow.
  • Progress is a process. In the pursuit of progress, we iterate, reflect, learn, adjust – and always leave things better than we found them.
  • There are people behind every data point. We recognize that numbers tell only one part of the story, and we also do the work to understand impacts at the individual level.
Physical Requirements:
  • Prolonged periods sitting at a desk and working on a computer. 
  • Must be able to frequently communicate with others through virtual meeting applications such as Zoom and Google Meet. 
  • Must be able to observe and communicate information on company provided laptop. 
  • Move up to 10 pounds on occasion. 
  • Must be eligible to work in the United States without sponsorship now or in the future.
Compensation, Equity & Incentives:

Base Salary Range Octave is committed to pay equity and transparency. Our salary ranges are determined by role, level, and location/ zone. Final pay within the posted range will be decided based on a combination of job-related factors, including education, training, experience, and market demands.

  • Geo 1 (All other states & D.C.): $142,600 - $153,100
  • Geo 2 (CO, HI, MD, RI): $156,900 - $168,400
  • Geo 3 (AK, CA, CT, MA, NJ, NY, WA): $164,000 - $176,000

Variable Compensation & Equity

  • Performance Bonus: This role is not currently eligible for bonus incentives.
  • Equity Awards: This role is eligible to participate in Octave's equity program via Stock Options, subject to the terms of the applicable Equity Incentive Plan.
  • Remote Work Stipend: New full-time employees receive a $300 equipment reimbursement to support a home office setup.
  • Internet & Phone Reimbursement: Full-time employees are eligible for a monthly reimbursement of up to $75 for internet and cell phone related expenses.

Octave is committed to pay equity and transparency. Octave will not discharge or in any other manner coerce, intimidate, threaten, discriminate or retaliate against employees or applicants because they have: (i)  inquired about, discussed, compared, or disclosed their own wages, benefits, or other compensation, or the wages, benefits, or other compensation of another employee or applicant; (ii) asked Octave to provide a reason for the employee's wages or lack of opportunity for advancement; or (iii) aided or encouraged others in exercising their rights to discuss wages, compensation, or benefits, or to seek pay equity.

However, except as otherwise provided by law, employees who have access to the compensation information of other employees or applicants as part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) in compliance with the company's legal duty to furnish information under applicable law .

Comprehensive Benefits:

At Octave, we believe in supporting the "human being first". Here's a snapshot of the benefits available to eligible employees:

  • Health & Wellness: Choose what works best for you with one High Deductible Health Plan (HDHP) and two PPO medical plan options, plus comprehensive Dental and Vision coverage.
  • Medical Support: Enjoy access to a company-sponsored membership with One Medical for convenient, modern care.
  • Retirement: Plan for your future with a 401(k) that offers both traditional and Roth options. 
  • Paid Time Off: Time to recharge matters. Take advantage of a generous time off policy, up to 15 paid company holidays, and accrued sick time.
  • Financial Protection: We've got you covered with company-paid Life, AD&D, and Disability insurance, plus optional extras like Pet, Legal, and Worksite plans (Critical Illness, Hospital Indemnity, and Accident).
  • Parental Leave (Bonding Time): Growing your family? Full-time employees can take paid bonding leave after 6 months, whether it's a new baby, adoption, or foster placement. Time off increases with tenure.
  • Growth: Keep learning and leveling up with professional development reimbursement for role-related growth opportunities.
How We Use Technology in Hiring:

As part of our hiring process, we may use technology tools, including AI-supported systems, to assist with reviewing applications or documenting interviews. These tools are designed to support our team, not replace human judgment, and final hiring decisions are always made by our team.

This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.

Application Instructions:

Please complete the following application. Please note that the U.S. Equal Opportunity Employment Information questions below are used for the purposes of EEOC reporting and are optional to complete. Octave is unable to change these questions and we acknowledge that many of the U.S. Equal Opportunity Employment Information questions are not inclusive or affirming of all aspects of cultural identity. Octave is committed to an inclusive workplace environment, and this information will not inform how we approach hiring or employment.