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Dbt Developer Jobs in Colorado (NOW HIRING)

Litera

Senior Data Engineer

Denver, CO · On-site

$140K - $180K/yr

Develop and own a Snowflake-based data warehouse using dbt best practices (models, tests ... Apply strong software engineering practices to data work, including version control, testing, and ...

Infosys

Snowflake Data Engineer

Broomfield, CO · On-site

$115K - $138K/yr

Required : • Hands-on experience in Data Warehousing, ETL, SQL, Python, DBT, Snowflake, Cortex ... data engineering solutions using Snowflake, dbt, and Python, ensuring high-performance data ...

Fivetran

Customer Support Engineer

Denver, CO · On-site

... 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 ...

Cornerstone Capital Bank

Data Manager

Englewood, CO · On-site

$130/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 ...

Releady

Data Engineer, Principal

Denver, CO · On-site +1

$170K - $190K/yr

Champion and apply DevOps and DataOps best practices, including CI/CD, automated testing ... Hands-on experience with SQL, Python, DBT Cloud, and DBT Core; expert-level fluency in NoSQL and ...

Fivetran

Product Manager - Integrations

Denver, CO · Hybrid

Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable ...

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All JobsDbt Developer JobsDbt Developer Jobs in Colorado

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:
Dbt Developer jobs near you
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.
Data Integration & Pipeline Lead

Data Integration & Pipeline Lead

BankUnited

Centennial, CO • On-site, Remote

Full-time

Posted 20 days ago

Job description

SUMMARY: We are seeking an Informatica Technical Lead to provide hands on technical leadership across our enterprise data integration platform. This role is responsible for the design, build, stability, and technical evolution of Informatica-based data pipelines while partnering closely with architecture, platform leadership, and delivery managers. This is a technical leadership role-not a people management role. The Technical Lead sets the technical bar, ensures production stability, mentors engineers, and coordinates execution across teams, while delivery ownership and people management remain with the Informatica Manager. The role supports a hybrid environment that includes Informatica (PowerCenter / IDMC) and possibly a gradual evolution toward modern cloud and analytics platforms (Snowflake, dbt).
ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties and special projects may be assigned.
  • Technical Ownership & Delivery:
  • Leads the end-to-end technical design and implementation of Informatica ETL/ELT pipelines, including sourcing, transformations, orchestration, error handling, restartability, and downstream dependencies.
  • Establishes and enforces technical standards and reusable patterns for mappings, workflows, parameterization, performance tuning, and monitoring.
  • Partners with data architects to translate target-state architecture into executable Informatica designs, including hybrid and dual run patterns.
  • Reviews and guides implementation work to ensure design integrity, scalability, and operational resilience.
  • Production Stability & Support:
  • Serves as the primary technical escalation point for complex production incidents, leading deep root cause analysis and permanent remediation.
  • Identifies systemic failure patterns and drive architectural or design changes to reduce recurring incidents.
  • Ensures pipelines meet defined SLAs, reliability, and audit expectations, especially for regulatory and risk sensitive data flows.
  • Collaborates with support and scheduling teams to ensure smooth promotion, execution, and recovery of Informatica jobs.
  • Estimation, Planning & Coordination:
  • Breaks down requirements into technically meaningful components and helps shape realistic estimates based on data volume, transformation complexity, dependencies, and risk.
  • Coordinates closely with the Informatica Manager to surface technical risks early, enabling proactive re planning rather than late delivery issues.
  • Participates in project planning, design reviews, and readiness checkpoints to ensure technical feasibility and delivery confidence.
  • Communicates technical concepts clearly to delivery managers and non-technical stakeholders without over or under simplifying.
  • Mentorship & Technical Quality:
  • Mentor data engineers on best practices, debugging techniques, performance optimization, and operational thinking.
  • Raises overall team capability through design reviews, knowledge sharing, and consistent technical guidance.
  • Help reduce key person risk through documentation, standardization, and shared ownership of critical pipelines.
  • Modernization & Platform Evolution (as applicable):
  • Identifies candidates suitable for refactoring or migration to modern data platforms.
  • Supports incremental modernization efforts by defining safe migration approaches that minimize business disruption.
  • Contributes technically to initiatives involving Snowflake, dbt, AWS, or cloud-native tools, where applicable.
  • Adheres to and complies with applicable, federal and state laws, regulations and guidance, including those related to anti-money laundering (i.e. Bank Secrecy Act, US PATRIOT Act, etc.).
  • Adheres to Bank policies and procedures and completes required training.
  • Identifies and reports suspicious activity.

EDUCATION
Bachelor's Degree preferred Master's Degree is a plus
EXPERIENCE
  • 7+ years of experience in data engineering or data integration, with deep hands on experience using Informatica PowerCenter and/or IDMCrequired
  • Proven experience supporting business critical, regulated datasets in production environmentsrequired
  • Exposure to modern analytics and cloud platforms such as Snowflake, dbt, and AWSpreferred
  • Experience working in banking or financial services environmentspreferred

CERTIFICATES, LICENSES, REGISTRATIONS
  • AWS or other cloud provider certifications is a plus

KNOWLEDGE, SKILLS AND ABILITIES
  • Strong understanding of ETL/ELT design principles, performance tuning, metadata, lineage, and data quality controls, required.
  • Solid SQL skills and experience with scripting languages used in data processing, required.
  • Ability to diagnose and resolve complex data pipeline failures under operational pressure, required.
  • Clear communicator with the ability to collaborate across technical and non-technical teams, required.
  • Familiarity with hybrid architecture and phased modernization approaches, preferred.
  • Deep understanding of data integration principles, pipeline orchestration, data quality, and lifecycle management.
  • Strong understanding of data architecture principles and modern data engineering practices.
  • Strong leadership, communication, and stakeholder management skills.
  • Strong analytical and problem-solving skills with the ability to interpret complex data sets.
  • Excellent sense of urgency, ownership and accountability
  • Excellent verbal and written communication skills, with the ability to present technical concepts to non-technical stakeholders.
  • Ability to drive change and innovation within an organization.
  • Ability to lead cross-functional teams and work in a fast-paced environment.
  • Strong organizational skills and attention to detail.
  • Knowledge of data governance and data privacy regulations.
  • Familiarity with Agile or hybrid project management methodologies.

ADDITIONAL INFORMATION
  • Candidates residing in locations within BankUnited's footprint may be given preference.

Apply