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Dbt Data Engineer Jobs (NOW HIRING)

Co-Sourcing Partners

GCP Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

GCP Data Engineer Duration: 6 months Contract to hire Location: Chicago is the preferred location ... Implement data transformation pipelines using BigQuery, dbt, and Python-based workflows. * Ensure ...

Stellar IT Group

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

Data Engineer ONSITE - Miami, FL 6+ Months Contract-to-Hire * Strong data experience is required ... dbt models, tests, and documentation to ensure data quality and lineage transparency. • Monitor ...

Kanak Elite Services Inc

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

DATA ENGINEER III CONTRACT LENGTH: 6 - 12 MONTH CONTRACT, LOOKING TO THEN CONVERT ONSITE 5 DAYS A ... Experience with dbt, Data Build Tool, or similar for transformation and testing. * Experience with ...

SmartIPlace

Data Engineer

Jersey City, NJ · On-site

$119K - $143K/yr

Data Engineer Must Have Qualifications: * Strong hands-on experience in Data Engineering and ... Experience with dbt (Data Build Tool) for data transformation, modeling, ELT pipeline development ...

Motion Recruitment

Senior Data Engineer

Boston, MA · On-site

$115K - $156K/yr

... dbt, and Apache Airflow, supporting analytics, marketing insights, and enterprise reporting ... data engineering or data warehouse environments · Strong understanding of data warehousing ...

Lennar

Lead Data Engineer

Miami, FL · Remote

$98K - $129K/yr

Managing multi-repository dbt projects and configuring dbt Cloud environments. * Creating, documenting, and optimizing advanced dbt models and custom macros. * AI-Assisted Engineering & Data Tools:

Lennar

Lead Data Engineer

Miami, FL · On-site +1

$98K - $129K/yr

Managing multi-repository dbt projects and configuring dbt Cloud environments. * Creating, documenting, and optimizing advanced dbt models and custom macros. * AI-Assisted Engineering & Data Tools:

KPMG LLP

Data Engineer Contractor - Talent Reserve

New York, NY · On-site +1

$125K - $150K/yr

Data Engineer We are seeking highly skilled Data Engineers Contractors for upcoming assignments. If ... Transform and model complex, large-scale datasets within Snowflake and Databricks using dbt to ...

Lennar Homes

Lead Data Engineer

Miami, FL · On-site

$98K - $129K/yr

Managing multi-repository dbt projects and configuring dbt Cloud environments. Creating, documenting, and optimizing advanced dbt models and custom macros. AI-Assisted Engineering & Data Tools: Daily ...

Lennar

Lead Data Engineer

Miami, FL · Remote

$98K - $129K/yr

Managing multi-repository dbt projects and configuring dbt Cloud environments. * Creating, documenting, and optimizing advanced dbt models and custom macros. * AI-Assisted Engineering & Data Tools:

FEDRUS GLOBAL LLC

Data Engineer III

Cincinnati, OH · On-site

$109K - $132K/yr

Must Have Skills Must Have: • Snowflake (4+ years) • Data Engineering • Business Intelligence • DBT (Data Build Tool) • DataStage • SQL • Data Modeling • ETL Development Nice to Have ...

LanceSoft, Inc.

Senior Data Engineer

$108K - $147K/yr

LanceSoft, Inc. is seeking a Senior Data Engineer to support their data engineering initiatives ... dbt (data build tool) • Build and implement automated testing solutions to ensure: End-to-end ...

Teamware Solutions

DATA Engineer

East Hartford, CT · On-site

$113K - $136K/yr

Mentor junior engineers and conduct code reviews to uphold engineering best practices * Partner ... Experience with dbt (data build tool) for transformation layer development * Exposure to cloud ...

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Showing results 21-40

All JobsDbt Data Engineer Jobs

Dbt Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do dbt data engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for dbt data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

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.

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 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.

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.

More about Dbt Data Engineer jobs
What cities are hiring for Dbt Data Engineer jobs? Cities with the most Dbt Data Engineer job openings:
What states have the most Dbt Data Engineer jobs? States with the most job openings for Dbt Data Engineer jobs include:
What job categories do people searching Dbt Data Engineer jobs look for? The top searched job categories for Dbt Data Engineer jobs are:
Dbt Data Engineer jobs near you
Infographic showing various Dbt Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer - Data & AI, Supply Chain (Remote)

Stage 4 Solutions Inc

San Francisco, CA • Remote

$35 - $40.50/hr

Contractor

Medical, Retirement

Posted 10 days ago

Job description

Data Engineer – Data & AI, Supply Chain (Remote)
 
We are seeking an experienced Data Engineer to join the Data & AI Supply Chain Organization. This role will focus on designing, developing, and supporting scalable cloud-based data products and data pipelines that power analytics and AI initiatives across Supply Chain domains including Sourcing, Transportation, and Warehouse Management (WMS).
The ideal candidate will have strong hands-on experience with Google Cloud Platform (GCP), including Dataproc, BigQuery, SQL, and dbt, along with expertise in building scalable ETL/ELT pipelines and modern data warehouse solutions.
 
This is a 40-hour per week, 18-month contract (possible extension), a remote role.
 
This is a W2 role as a Stage 4 Solutions employee. Health benefits and a 401K are offered.
 
Responsibilities:
●    Design, develop, and maintain scalable ETL/ELT pipelines on Google Cloud Platform (GCP).
●    Build and optimize data solutions using Dataproc, BigQuery, SQL, and dbt.
●    Develop and maintain scalable data models that support analytics, reporting, and AI initiatives.
●    Ingest, transform, validate, and publish data from multiple enterprise source systems.
●    Partner with Product Managers, Business Analysts, Data Architects, and Solution Architects to deliver business-driven data solutions.
●    Develop reusable data transformation components following engineering standards and best practices.
●    Optimize data processing performance, reliability, and cost efficiency.
●    Perform unit testing, data validation, troubleshooting, and production support to ensure high-quality data solutions.
●    Participate in Agile ceremonies including sprint planning, backlog refinement, and code reviews.
●    Create and maintain technical documentation including data flows, solution designs, and implementation details.
 
Requirements:
●    Bachelor's degree in Computer Science, Engineering, Information Systems, or related field (or equivalent experience).
●    4+ years of Data Engineering experience.
●    Hands-on experience building cloud-native data solutions on Google Cloud Platform (GCP).
●    Strong experience with:
○    Dataproc
○    BigQuery
○    SQL
○    dbt (Data Build Tool)
●    Experience designing and building scalable ETL/ELT pipelines.
●    Strong knowledge of dimensional data modeling and analytical data warehouse concepts.
●    Experience working with Git-based version control and CI/CD practices.
●    Strong analytical, troubleshooting, and problem-solving skills.
●    Excellent communication and collaboration skills.
 
Preferred Qualifications:
•    Experience with Apache Airflow.
•    Experience with Apache Kafka or other event streaming platforms.
•    Experience with PySpark.
•    Python programming experience for data engineering and automation.
•    Knowledge of data quality, metadata management, and data governance principles.
 
Please submit your resume to our network at https://www.stage4solutions.com/careers/ and apply to the Data Engineer – Data & AI, Supply Chain (Remote) role.
 
Please feel free to forward this opportunity to others who may be interested.
 
Stage 4 Solutions is an equal-opportunity employer. We celebrate diversity and are committed to providing employees with an inclusive environment that is free of discrimination and harassment. All employment decisions are based on job requirements and candidate qualifications, without regard to race, color, religion/belief, national origin, gender identity, age, disability, marital status, genetic information, or other legally protected characteristics.
 
Compensation: $35/hr. - $40.50/hr.
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