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Dbt Data Engineer Jobs (NOW HIRING)

Apex Informatics

Data Engineer

$117K - $140K/yr

Data Engineer/ Python/Pyspark/ SQL/ ETL/ DBT (Data Build Type)/ AWS Position Summary: The Senior Data Engineer leads complex data engineering projects, working on designing data architectures that ...

Apex Informatics

DATA ENGINEER

$117K - $140K/yr

Data Engineer/ Python/Pyspark/ SQL/ ETL/ DBT (Data Build Type)/ AWS Position Summary: The Senior Data Engineer leads complex data engineering projects, working on designing data architectures that ...

dbt Labs

Senior Data Engineer

$108K - $147K/yr

About Us dbt Labs is the pioneer of analytics engineering, helping data teams transform raw data into reliable, actionable insights. Since 2016, we've grown from an open source project into the ...

Purple Drive Technologies

GCP Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Overview: We are seeking a GCP Data Engineer with hands-on experience with Google Cloud Platform (GCP) services, particularly BigQuery, and be proficient in DBT (Data Build Tool) for data ...

ROLLER

Data Engineer

$117K - $140K/yr

They are seeking a highly technical Senior Data Engineer to architect and scale their data ... using DBT (Data Build Tool) to ensure high data quality and reliability. • Automate the ...

New

Intellisoft Technologies

data engineer

$117K - $140K/yr

... DBT for orchestration, transformation, and data movement. • Monitor data pipeline performance and ... engineering. • Knowledge of AWS cloud platforms. • Familiarity with data governance and ...

New

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 ...

CoSourcing Partners

GCP Data Engineer

Chicago, IL

$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 ...

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Dbt Data Engineer information

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$44.5K

$129.7K

$177.5K

How much do dbt data engineer jobs pay per year?

As of Jun 7, 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 are Dbt Data Engineers?

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 May 2026, with employment types broken down into 67% Full Time, 31% Part Time, and 2% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer (DBT Specialist)

ACS Consultancy Services

Albany, NY • Remote

$117K - $140K/yr

Other

Posted 13 days ago

Job description

Job Title: Data Engineer (DBT Specialist)

Location: Remote

We are currently seeking candidates who meet the following qualifications.

Key Responsibilities

  • Design and implement scalable data models and transformation pipelines using DBT (Data Build Tool).
  • Build and maintain ELT workflows using tools like Airflow, Fivetran, or custom Python scripts.
  • Work with data warehouses such as Snowflake, BigQuery, or Redshift to optimize storage and performance.
  • Ensure data quality, governance, and consistency through testing, version control, and documentation in DBT.
  • Collaborate with analysts and stakeholders to understand data needs and deliver efficient, reusable models.
  • Monitor pipeline performance and troubleshoot issues across the data stack.
  • Implement and maintain CI/CD practices for analytics engineering.
  • Stay up-to-date with best practices in data modeling, pipeline architecture, and cloud data tools.
Requirements
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field.
  • Experience in data engineering or analytics engineering roles.
  • Strong hands-on experience with DBT in production environments.
  • Solid understanding of SQL and data warehousing principles.
  • Experience with modern data stacks (e.g., Snowflake, BigQuery, Redshift).
  • Experience with Python or another scripting language for ETL/ELT tasks.
  • Experience with orchestration tools like Airflow, Prefect, or Dagster.
  • Git proficiency for version control and collaboration.
  • Strong communication and collaboration skills.
  • Federal Experience is a plus.
  • Required Security clearance.
    If you meet these qualifications, please submit your application via link provided in Linkedin.
    Kindly do not call the general line to submit your application.