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Dbt Developer Jobs (NOW HIRING)

Staffingine LLC

Snowflake DBT Engineer

New York, NY · On-site

$125K - $150K/yr

Snowflake DBT Engineer Job Location: New York Job Type: Contract * Data Pipeline Development Design develop and maintain scalable data pipelines using Snowflake dbt Snaplogic and ETL tools * SQL ...

MFS

DBT Investment Lead Data Engineer

Boston, MA · Hybrid

$124K - $149K/yr

  • Medical

  • Dental

  • Retirement

... SDLC, DevOps and Cloud technologies required, in addition to exposure to multiple, diverse ... Industry certifications in Snowflake, dbt, cloud data engineering platforms, data warehousing ...

Symhas

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 ...

Equifax, Inc.

Senior Data Engineer

Saint Louis, MO · On-site

$103K - $140K/yr

  • Medical

  • Retirement

  • PTO

Experience with dbt * DevOps / CICD experience (Jenkins and GitHub) and IaC experience using Terraform for managing GCP infrastructure * GCP Professional Data Engineer or Professional Cloud Architect ...

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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.

Snowflake DBT Engineer

Staffingine LLC

New York, NY • On-site

$125K - $150K/yr

Contractor

Re-posted 14 days ago

Job description

Job Title: Snowflake DBT Engineer 
Job Location: New York 
Job Type: Contract 

Job Description:  

  • Data Pipeline Development Design develop and maintain scalable data pipelines using Snowflake dbt Snaplogic and ETL tools 

  • SQL Optimization Write and optimize complex SQL queries to ensure high performance and efficiency 

  • Data Integration Integrate data from various sources ensuring consistency accuracy and reliability 

  • Database Management Manage and maintain SQL Server and PostgreSQL databases 

  • ETL Processes Develop and manage ETL processes to support data warehousing and analytics 

  • Collaboration Work closely with data analysts data scientists and business stakeholders to understand data requirements and deliver solutions 

  • Documentation Maintain comprehensive documentation of data models data flows and ETL processes 

  • Troubleshooting Identify and resolve data related issues and discrepancies 

  • Python Scripting Utilize Python for data manipulation automation and integration tasks 

 Qualifications / Technical Skills 

  • Experience Minimum of 8 years of experience in data engineering 

  • Proficiency in Snowflake dbt Snaplogic SQL Server PostgreSQL and Azure Data Factory 

  • Strong SQL skills with the ability to write and optimize complex queries 

  • Knowledge of Python for data manipulation and automation 

  • Knowledge of data governance frameworks and best practices 

Soft Skills 

  • Excellent problem solving and analytical skills 

  • Strong communication and collaboration skills 

  • Positive attitude and ability to work well in a team environment 

  • Certifications Relevant certifications eg Snowflake Azure are a plus