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Dbt Developer Jobs (NOW HIRING)

Modivcare, Inc.

Cloud Engineer III

Denver, CO · On-site

$57.50 - $76.75/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Modivcare, Inc.

Cloud Data Warehouse Engineer III

Denver, CO · Remote

$57.50 - $76.75/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

IntegriChain

AI Data Engineer

Philadelphia, PA · On-site +1

$115K - $138K/yr

  • Medical

  • Retirement

  • PTO

Optimize Snowflake SQL and dbt workloads for performance, scalability, cost, and maintainability. * Work with orchestration and DevOps/SRE teams to support CI/CD, environment promotion, pipeline ...

IntegriChain

AI Data Engineer

Philadelphia, PA · On-site

$115K - $138K/yr

  • Medical

  • Retirement

  • PTO

Optimize Snowflake SQL and dbt workloads for performance, scalability, cost, and maintainability. * Work with orchestration and DevOps/SRE teams to support CI/CD, environment promotion, pipeline ...

IntegriChain

AI Data Engineer

Philadelphia, PA

$115K - $138K/yr

  • Medical

  • Retirement

  • PTO

Optimize Snowflake SQL and dbt workloads for performance, scalability, cost, and maintainability. * Work with orchestration and DevOps/SRE teams to support CI/CD, environment promotion, pipeline ...

BirdEye Inc

Senior Financial Data Engineer

Palo Alto, CA · On-site

$124K - $169K/yr

Implement dbt best practices: modular design, ref() usage, incremental models, exposures, and a ... Serve as the data engineering liaison between Finance, Revenue Ops, and the broader Data ...

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Dbt Developer information

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How much do dbt developer jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for dbt developer in the United States is $52.84, according to ZipRecruiter salary data. Most workers in this role earn between $40.38 and $64.66 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.
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Dbt Developer jobs near you
Infographic showing various Dbt Developer job openings in the United States as of August 2026, with employment types broken down into 80% Full Time, 3% Part Time, and 17% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $109,905 per year, or $52.8 per hour.

Cloud Engineer III

Modivcare, Inc.

Denver, CO • On-site

$57.50 - $76.75/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago

Modivcare rating

6.6

Company rating: 6.6 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

570th of 887 rated healthcare providers

Job description

Are you passionate about making a difference in people's lives? Do you enjoy working in a service-oriented industry? If so, this opportunity may be the right fit for you!
At Modivcare, our mission is to connect people to the care they need. Every report, dashboard, operational workflow, and AI initiative starts with trusted data. As a Cloud Engineer III, you'll build scalable data pipelines, cloud data warehouse solutions, and transformation frameworks that enable smarter decisions and improve healthcare outcomes for millions of members.
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 directly influence how business leaders, operations teams, and analytics partners make decisions every day. You'll help modernize our enterprise data platform by building trusted, scalable data products that improve reporting, enable self-service analytics, and support AI initiatives. This is an opportunity to solve complex technical challenges while making a measurable impact on the healthcare experience for the people we serve.
dbt Engineering & Data Transformation
  • Design, develop, and maintain dbt projects, models, macros, snapshots, tests, and reusable transformation frameworks.
  • Build and maintain enterprise data transformation pipelines using dbt Core and advanced SQL.
  • Develop reusable business logic and data models that support reporting, self-service analytics, operational applications, and AI initiatives.
  • Implement dbt best practices including modular design, testing, documentation, lineage tracking, and source control.
  • Optimize dbt models and transformation workloads for performance, scalability, and maintainability.
  • Support CI/CD deployment processes and automated testing for dbt projects.
  • Collaborate with business and technical teams to translate requirements into scalable and reusable transformation logic.

Data Modeling & Data Warehouse Development
  • Develop and maintain cloud data warehouse solutions using AWS services including Redshift, S3, Glue, Athena, Lambda, and Step Functions.
  • Design and maintain dimensional data models supporting reporting, self-service analytics, and operational data needs.
  • Build and maintain fact tables, dimensions, star schemas, snowflake schemas, and slowly changing dimensions (SCDs).
  • Develop curated data marts and trusted datasets for reporting, analytics, and downstream applications.
  • Partner with business and technical teams to translate requirements into scalable and reusable data models.
  • Optimize data structures and query performance for large-scale analytical workloads.
  • Follow established standards and best practices for data modeling, SQL development, and data warehouse design.

Data Engineering & Pipeline Development
  • Design, build, and maintain batch and near real-time data pipelines supporting enterprise data integration requirements.
  • Develop ELT/ETL workflows using AWS services, dbt, SQL, and Python.
  • Integrate data from operational systems, APIs, SaaS applications, healthcare platforms, and third-party data providers.
  • Support ingestion and transformation of structured, semi-structured, and unstructured data.
  • Optimize data processing workflows for scalability, reliability, and cost efficiency.
  • Troubleshoot and resolve data pipeline and data warehouse performance issues.

Collaboration & Delivery
  • Partner with application teams, business stakeholders, BI developers, and analytics teams to understand data requirements.
  • Deliver trusted and well-documented datasets that support reporting and self-service analytics.
  • Participate in Agile development processes including sprint planning, estimation, code reviews, testing, and release management.
  • Work effectively with remote and offshore teams to deliver data platform initiatives.

We are interested in speaking with individuals with the following...
  • Bachelor's degree in Computer Science, Information Systems, Data Engineering, Software Engineering, or a related field; equivalent combination of education and experience will be considered.
  • Five (5) or more years of experience in data warehousing, cloud data engineering, or related data platform roles.
  • Experience designing and developing enterprise cloud data warehouse solutions.
  • Experience building enterprise ELT/ETL solutions and data integration pipelines.
  • Experience working with modern cloud data warehouse environments.
  • Experience supporting reporting, business intelligence, self-service analytics, and enterprise data platforms.
  • Experience working in healthcare or another regulated industry is preferred.
  • Strong hands-on experience with dbt Core, including development of models, macros, snapshots, tests, documentation, lineage, and reusable transformation frameworks.
  • Advanced knowledge of SQL, including complex joins, window functions, common table expressions (CTEs), analytical transformations, query tuning, and performance optimization.
  • Knowledge of dimensional data modeling techniques, including fact tables, dimensions, star schemas, snowflake schemas, and slowly changing dimensions (SCDs).
  • Proficiency with Amazon Redshift and modern cloud data warehouse technologies.
  • Knowledge of AWS cloud services, including Redshift, S3, Glue, Lambda, Athena, and Step Functions.
  • Proficiency in Python for data engineering, automation, and scripting.
  • Knowledge of Git, CI/CD, and modern software development best practices.
  • Ability to design, develop, and optimize batch, micro-batch, and near real-time data pipelines.
  • Ability to build curated data marts and trusted datasets that support reporting, self-service analytics, and downstream applications.
  • Strong analytical, problem-solving, communication, collaboration, and organizational skills.
  • Ability to work effectively in Agile environments and collaborate with remote and offshore teams.

Salary: $ 97,200.00 - 140,000
The physical demands described are representative of those that must be met by an employee to successfully perform the essential functions of the position. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions of the job.
Primarily seated work; extensive computer and telephone use; occasional standing, walking, reaching, bending, and lifting up to 10 lbs.
Modivcare's positions are posted and open for applications for a minimum of 5 days. Positions may be posted for a maximum of 45 days dependent on the type of role, the number of roles, and the number of applications received. We encourage our prospective candidates to submit their application(s) expediently so as not to miss out on our opportunities. We frequently post new opportunities and encourage prospective candidates to check back often for new postings.
We value our team members and realize the importance of benefits for you and your family.
Modivcare offers a comprehensive benefits package to include the following:
  • Medical, Dental, and Vision insurance
  • Employer Paid Basic Life Insurance and AD&D
  • Voluntary Life Insurance (Employee/Spouse/Child)
  • Health Care and Dependent Care Flexible Spending Accounts
  • Pre-Tax and Post --Tax Commuter and Parking Benefits
  • 401(k) Retirement Savings Plan with Company Match
  • Paid Time Off
  • Paid Parental Leave
  • Short-Term and Long-Term Disability
  • Tuition Reimbursement
  • Employee Discounts (retail, hotel, food, restaurants, car rental and much more!)

Modivcare is an Equal Opportunity Employer.
  • EEO is The Law - click here for more information
  • Equal Opportunity Employer Minorities/Women/Protected Veterans/Disabled
  • We consider all applicants for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, handicap or disability, or status as a Vietnam-era or special disabled veteran in accordance with federal law. If you need assistance, please reach out to us at hr.recruiting@modivcare.com

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