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Dbt Developer Jobs in Colorado (NOW HIRING)

GCP DATA ENGINEER

Denver, CO · On-site

$117K - $141K/yr

... dbt DevOps / IaC Git, CI/CD pipelines, Terraform (preferred) Data Formats Avro, Parquet, JSON, CSV, ORC Methodologies Agile / Scrum, Data Mesh, Data Lakehouse ABOUT THE ENGAGEMENT This is a contract ...

Cloud Engineer III

Denver, CO · 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 Engineer III

Denver, CO · 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 ENGINEER

Boulder, CO · Remote

$130K/yr

Support DBT development and CI/CD practices * Tune BigQuery performance and manage access/security ... engineering * Strong SQL skills with BigQuery, Snowflake, or Redshift * Hands-on work with ...

DATA ENGINEER

Boulder, CO · Remote

$130K/yr

Support DBT development and CI/CD practices * Tune BigQuery performance and manage access/security ... engineering * Strong SQL skills with BigQuery, Snowflake, or Redshift * Hands-on work with ...

Senior R&D Software Engineer, Fivetran AI

Denver, CO · On-site

$126K - $166K/yr

... with no engineering or maintenance required. We're proud that more organizations continue to ... About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared ...

About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared ... As a Commercial Sales Engineer, you will work closely with our sales team to understand our ...

Data Analytics Engineer - Boulder, Colorado

Boulder, CO · On-site

$120K - $144K/yr

Responsibilities : • Build, maintain, and document DBT models in a Snowflake environment, keeping ... or prompt engineering work • Understanding of the limitations of LLMs when applied to data ...

About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared ... At Fivetran, our Customer Support Engineers (CSEs) take on exciting technical challenges while ...

... with no engineering or maintenance required. We're proud that more organizations continue to ... About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared ...

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Dbt Developer information

See Colorado salary details

$17

$55

$85

How much do dbt developer jobs pay per hour?

As of Jul 25, 2026, the average hourly pay for dbt developer in Colorado is $55.56, according to ZipRecruiter salary data. Most workers in this role earn between $42.45 and $67.98 per hour, depending on experience, location, and employer.

What is the difference between Dbt Developer vs Data Engineer?

AspectDbt DeveloperData Engineer
Primary FocusBuilding and maintaining data transformation pipelines using dbtDesigning, developing, and managing data infrastructure and pipelines
Skills & CertificationsSQL, dbt, data modeling, analytics skillsSQL, Python, ETL tools, cloud platforms, data architecture
Work EnvironmentAnalytics teams, data warehouses, BI projectsData platforms, cloud environments, big data systems

While both roles involve working with data, a Dbt Developer specializes in transforming data using dbt within analytics and BI projects, whereas a Data Engineer focuses on building and maintaining the broader data infrastructure and pipelines across various systems.

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 expertise, data modeling skills, and experience with ETL processes, typically supported by a background in computer science or data engineering. Familiarity with DBT (Data Build Tool), version control systems like Git, and cloud data warehouses such as Snowflake or BigQuery is essential. Attention to detail, problem-solving abilities, and effective communication help you deliver scalable data solutions and collaborate with cross-functional teams. These skills are crucial for building reliable data pipelines, ensuring data quality, and enabling data-driven decision-making within organizations.

What is a Dbt Developer?

A Dbt Developer is a data professional who specializes in using dbt (data build tool) to transform raw data into clean, reliable datasets for analytics and business intelligence. They write modular SQL code to perform data transformations, manage data models, and ensure data quality within modern data warehouses. Dbt Developers collaborate closely with data engineers, analysts, and business users to create efficient, maintainable data workflows. Their work enables organizations to make informed decisions based on trustworthy and well-structured data.

How does a DBT Developer typically collaborate with data engineers and analysts on a project?

DBT Developers frequently work alongside data engineers to ensure that data pipelines provide clean, reliable data to downstream users. They collaborate with analysts to understand data requirements, define business logic, and implement transformations that support analytics and reporting. Regular communication is essential for aligning on naming conventions, documenting models, and troubleshooting issues. This collaboration often takes place through code reviews, shared documentation, and agile ceremonies such as sprint planning or stand-ups.
What are popular job titles related to Dbt Developer jobs in Colorado? For Dbt Developer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Dbt Developer jobs in Colorado look for? The top searched job categories for Dbt Developer jobs in Colorado are:
What cities in Colorado are hiring for Dbt Developer jobs? Cities in Colorado with the most Dbt Developer job openings:
Infographic showing various Dbt Developer job openings in Colorado as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 19% Part Time, 5% Contract, and 1% Nights. Highlights an 78% Physical, 2% Hybrid, and 20% Remote job distribution, with an average salary of $115,567 per year, or $55.6 per hour.

GCP DATA ENGINEER

Symhas

Denver, CO • On-site

$117K - $141K/yr

Other

Posted 14 days ago


Job description

GCP DATA ENGINEER

Contract • Denver, Colorado • On-site / Hybrid

Position Type

Contract (1099 / C2C)

Duration

6–12 Months (with extension potential)

Location

Denver, Colorado —5 days on-site

Start Date

Immediate / ASAP

Industry

Technology / Data Engineering

POSITION OVERVIEW

We are seeking an experienced GCP Data Engineer to join our team on a contract basis in Denver, Colorado. The ideal candidate will have deep expertise in Google Cloud Platform services, Java-based pipeline development, and enterprise ETL frameworks. You will design and implement scalable data pipelines, work with large distributed datasets, and collaborate with cross-functional teams to deliver high-quality data solutions.

KEY RESPONSIBILITIES

▸ Design, develop, and maintain robust ETL/ELT pipelines on Google Cloud Platform using Java and cloud-native services

▸ Build and optimize data workflows using GCP tools such as Dataflow (Apache Beam), Dataproc, BigQuery, Cloud Composer (Airflow), and Pub/Sub

▸ Develop Java-based data ingestion and transformation applications to move data across structured and unstructured sources

▸ Collaborate with data architects and analysts to translate business requirements into scalable technical data solutions

▸ Monitor, troubleshoot, and tune pipeline performance, data quality, and reliability in production environments

▸ Implement data governance and security best practices including IAM policies, encryption, and access controls

▸ Work with Cloud Storage, Cloud SQL, Spanner, and Bigtable to manage and persist data assets

▸ Participate in code reviews, technical design discussions, and agile ceremonies

▸ Write technical documentation for pipelines, schemas, and data flows

▸ Support data migration efforts and legacy system integration with modern cloud infrastructure

REQUIRED QUALIFICATIONS

Core GCP Skills

▸ 5+ years of experience in data engineering with at least 3 years on Google Cloud Platform

▸ Hands-on expertise with BigQuery (table design, partitioning, clustering, cost optimization)

▸ Proficiency with Cloud Dataflow (Apache Beam pipelines — batch and streaming)

▸ Experience with Cloud Composer / Apache Airflow for workflow orchestration

▸ Familiarity with Pub/Sub for real-time event streaming and messaging

▸ Working knowledge of Cloud Storage, Dataproc (Spark/Hadoop), and GCP networking basics

Java & ETL

▸ Strong proficiency in Java (8+) for building data pipelines and backend services

▸ Experience designing and building ETL/ELT pipelines at scale (batch and streaming)

▸ Knowledge of SQL and experience writing complex queries for BigQuery or similar warehouses

▸ Familiarity with data transformation patterns: slowly changing dimensions, CDC, data normalization

▸ Experience integrating APIs, JDBC/ODBC connectors, and file-based data sources

General

▸ Solid understanding of distributed systems, data warehousing concepts, and data lake architecture

▸ Proficiency with version control (Git) and CI/CD practices

▸ Excellent problem-solving skills and ability to work independently in a contract environment

▸ Strong communication skills for collaborating with remote and on-site stakeholders

PREFERRED / NICE-TO-HAVE

▸ Google Cloud Professional Data Engineer certification

▸ Experience with dbt (data build tool) for data transformation

▸ Familiarity with Terraform or Deployment Manager for infrastructure-as-code on GCP

▸ Experience with Kafka or other streaming platforms alongside Pub/Sub

▸ Knowledge of Python for scripting and data manipulation tasks

▸ Exposure to data quality frameworks (Great Expectations, Deequ)

▸ Experience with Looker, Data Studio, or other BI tools connected to BigQuery

TECHNICAL SKILLS SUMMARY

Category

Technologies & Tools

Cloud Platform

Google Cloud Platform (GCP)

GCP Services

BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Composer, Cloud Storage, Cloud SQL, Spanner, Bigtable

Programming

Java (primary), SQL, Python (preferred)

ETL / Pipeline

Apache Beam, Apache Spark, Apache Airflow, dbt

DevOps / IaC

Git, CI/CD pipelines, Terraform (preferred)

Data Formats

Avro, Parquet, JSON, CSV, ORC

Methodologies

Agile / Scrum, Data Mesh, Data Lakehouse

ABOUT THE ENGAGEMENT

This is a contract role embedded within an established data engineering team. You will have direct impact on mission-critical data pipelines that serve business intelligence, analytics, and operational systems. The team follows agile practices with two-week sprints, daily standups, and collaborative design sessions. The role is hybrid with approximately three days on-site in Denver, CO.