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Data Build Tool Dbt Jobs (NOW HIRING)

Syntricate Technologies

AWS Data Engineer

Malvern, PA · On-site

$112K - $134K/yr

Worked on DBT (Data Build Tool) to perform transformations on Snowflake data. * Worked on Extracting, Transforming and Loading data into Snowflake. * Created complex queries to pull data from ...

Futran Tech Solutions Pvt. Ltd.

Azure Data Engineer

$117K - $140K/yr

Implement and manage DBT (Data Build Tool) workflows to transform raw data into meaningful insights, ensuring data quality and consistency. Data Architecture and Modeling: * Collaborate with data ...

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How much do data build tool dbt jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for data build tool dbt in the United States is $56.25, according to ZipRecruiter salary data. Most workers in this role earn between $47.60 and $67.31 per hour, depending on experience, location, and employer.

What are the typical responsibilities of someone working with Data Build Tool (dbt) in a data engineering or analytics team?

Professionals working with dbt are generally responsible for designing, building, and maintaining transformation models that shape raw data into analytics-ready datasets. This includes writing modular SQL queries, documenting data lineage, and ensuring the quality and reliability of data outputs through testing and version control. You'll often collaborate closely with data engineers, analysts, and business stakeholders to ensure the data models support reporting and business intelligence needs. Regular tasks may also involve troubleshooting data issues, optimizing performance, and participating in code reviews to uphold best practices within the team. This role offers strong opportunities to learn modern data technologies and advance into senior analytics or engineering roles.

What is a Data Build Tool (dbt) job?

A Data Build Tool (dbt) job typically involves using dbt to transform and model data in a data warehouse. Professionals in this role write SQL-based transformations, create data models, manage version control, and optimize data workflows. They work closely with data engineers and analysts to ensure high-quality, reliable analytics data. The job often includes maintaining documentation, testing data transformations, and automating workflows to improve efficiency and scalability.

What are the key skills and qualifications needed to thrive in the Data Build Tool Dbt position, and why are they important?

To excel in a Data Build Tool (dbt) role, you need a solid understanding of SQL, data modeling, ETL processes, and experience working with modern data warehouses. Familiarity with dbt Cloud or dbt Core, version control systems like Git, and potentially a dbt Certification are highly beneficial. Strong problem-solving skills, attention to detail, and effective cross-team communication set outstanding candidates apart. These competencies ensure robust data pipelines, clear documentation, and seamless collaboration that are crucial to delivering reliable analytics solutions.

More about Data Build Tool Dbt jobs
What job categories do people searching Data Build Tool Dbt jobs look for? The top searched job categories for Data Build Tool Dbt jobs are:
Infographic showing various Data Build Tool Dbt job openings in the United States as of June 2026, with employment types broken down into 82% Full Time, 16% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $117,000 per year, or $56.2 per hour.
AWS Data Engineer

AWS Data Engineer

Syntricate Technologies

Malvern, PA • On-site

$112K - $134K/yr

Other

Posted 2 days ago

Job description

Job Title

We are looking for strong AWS Data Engineers who are passionate about Cloud technology.

Role Responsibilities

Your work will be to:

  • Design and Develop Data Pipelines: Create robust pipelines to ingest, process, and transform data, ensuring it is ready for analytics and reporting.
  • Implement ETL/ELT Processes: Develop Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) workflows to seamlessly move data from source systems to Data Warehouses, Data Lakes, and Lake Houses using Open Source and AWS tools.
  • Worked on DBT (Data Build Tool) to perform transformations on Snowflake data.
  • Worked on Extracting, Transforming and Loading data into Snowflake.
  • Created complex queries to pull data from multiple source tables and created testing scripts to verify the data quality accuracy in the target tables
  • Adopt DevOps Practices: Utilize DevOps methodologies and tools for continuous integration and deployment (CI/CD), infrastructure as code (IaC), and automation to streamline and enhance our data engineering processes.
  • Design Data Solutions: Leverage your analytical skills to design innovative data solutions that address complex business requirements and drive decision-making

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