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Data Build Tool Dbt Jobs (NOW HIRING)

Data Engineer

$117K - $140K/yr

Work with DBT (Data Build Tool) for transforming raw data into actionable insights. * Oversees development of data solutions that enable predictive and prescriptive analytics. * Ensures the technical ...

DATA ENGINEER

$117K - $140K/yr

Experience in Data Build Tool ( DBT ) or similar data transformation tools * Experience in Mulesoft API * Nice to have: Kafka, Tableau * Strong understanding of healthcare data systems and experience ...

Cloud Developer

Dallas, TX · On-site

$55.75 - $76.25/hr

Primary Skill Required for the Role Data Build Tool (DBT) Level Required for Primary Skill Intermediate (3-5 years experience) Additional Details for Role Matillion and DBT developer with Snowflake

... Data Build Tool (dbt). • Desired experience with Informatica. • Desired experience with JavaScript/TypeScript. • Desired experience with APIs. • Desired experience with Go. • Desired ...

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SQL Developer

Trenton, NJ · On-site

$50 - $65/hr

Strong SQL Developer with an understanding of Data Build Tool (DBT) Responsibilities: Data Transformation and Modeling: * Design and implement data transformations and models using data to create ...

Data Architect

Atlanta, GA · On-site

$61.25 - $78.75/hr

Proficiency in SQL, Python, and dbt (Data Build Tool) for data modeling and transformations. * Experience with metadata management tools (e.g., Collibra, Alation, Atlan) and data catalogs

SQL Developer

Trenton, NJ · On-site

$50 - $65/hr

Strong SQL Developer with an understanding of Data Build Tool (DBT) Responsibilities: Data Transformation and Modeling: * Design and implement data transformations and models using data to create ...

Data Engineer

Cincinnati, OH

$109K - $132K/yr

Key Skills * dvanced SQL * ETL/ELT pipeline development * dbt (data build tool) * Snowflake * Strong data investigation & troubleshooting skills * Excellent communication; able to work with internal ...

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Data Build Tool Dbt information

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

As of Jun 10, 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
Infographic showing various Data Build Tool Dbt job openings in the United States as of June 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $117,000 per year, or $56.2 per hour.
Data Engineer

$117K - $140K/yr

Contractor

Posted 13 days ago


Job description

Title: Senior Data Engineer
Location: Remote

Duration: 06 Months (C2H Role)
Main Skills: 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 align with business requirements. This role focuses on optimizing data workflows, managing data pipelines, and ensuring the smooth operation of data systems.
Minimum Qualifications:
• 8+ Years overall IT experience with minimum 5 years of work experience in below tech skills
• Tech Skills:
§ Strong experience in Python Scripting and PySpark for data processing
§ Proficiency in SQL, dealing with big data over Informatica ETL
§ Proven experience in Data quality and data optimization of data lake in Iceberg format, with strong understanding of architecture
§ Experience in AWS cloud platform and its data services (S3, Redshift, Lambda, EMR, Airflow, Postgres, SNS, Event bridge)
§ Expertise in BASH/Shell scripting
§ Experience in Data Build Tool (DBT) or similar data transformation tools
§ Experience in Mulesoft API
§ Nice to have: Kafka, Tableau
• Strong understanding of healthcare data systems and experience leading data engineering teams
• Experience in Agile environments.
• Excellent problem-solving skills and attention to detail.
• Effective communication and collaboration skills.
Responsibilities:
  • Leads development of data pipelines and architectures that handle large-scale data sets.
  • Designs, constructs, and tests data architecture aligned with business requirements.
  • Provides technical leadership for data projects, ensuring best practices and high-quality data solutions.
  • Collaborates with product, finance, and other business units to ensure data pipelines meet business requirements.
  • Work with DBT (Data Build Tool) for transforming raw data into actionable insights.
  • Oversees development of data solutions that enable predictive and prescriptive analytics.
  • Ensures the technical quality of solutions, managing data as it moves across environments.
  • Aligns data architecture to Healthfirst solution architecture.