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Data Build Tool Dbt Jobs (NOW HIRING)

Kanak Elite Services Inc

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Experience with dbt, Data Build Tool, or similar for transformation and testing. * Experience with event streaming (Kafka/Kinesis/Flink) and API-based data integration. * Experience with data catalog ...

THE TILTED CIRCLE LLC

Senior Aprimo Developer

San Antonio, TX · On-site

$49.50 - $65.50/hr

Implement data transformation and modeling using dbt (data build tool). * Write and optimize python code for data extraction, transformation, and loading (etl) processes. * Troubleshoot technical ...

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CYNET SYSTEMS

Senior Aprimo Developer

Dallas, TX · On-site

$50/hr

Implement data transformation and modeling using dbt (data build tool). * Write and optimize Python code for data extraction, transformation, and loading (ETL) processes. * Troubleshoot technical ...

Co-Sourcing Partners

GCP Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Experience with dbt (Data Build Tool) or similar ELT frameworks. * Experience building batch and streaming data pipelines. Preferred Skills * Experience with Apache Beam or Spark. * Familiarity with ...

Incorporan Inc

Senior Aprimo Developer

Dallas, TX · On-site

$54.25 - $71.50/hr

... dbt (data build tool). 6. Write and optimize python code for data extraction, transformation, and loading (etl) processes. 7. Troubleshoot technical issues and provide timely resolutions. 8. Stay ...

UnitedHealth Group

Senior Data Engineer

Raleigh, NC · Hybrid

$91K - $163K/yr

Utilize the dbt (data build tool) framework to execute complex data transformations following Medallion Architecture (Bronze, Silver, and Gold layers) * Interpret, maintain, and enhance existing ...

LanceSoft, Inc.

Senior Data Engineer

$108K - $147K/yr

AWS Redshift, AWS DMS (Data Migration Service), AWS Glue, PySpark Deequ, Event Bridge, Data Lakes, Python-based data pipelines, Apache Airflow, dbt (data build tool) • Build and implement automated ...

UnitedHealth Group

Senior Data Engineer

Raleigh, NC · On-site

$91K - $163K/yr

Utilize the dbt (data build tool) framework to execute complex data transformations following Medallion Architecture (Bronze, Silver, and Gold layers) * Interpret, maintain, and enhance existing ...

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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 Jul 24, 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 July 2026, with employment types broken down into 83% Full Time, 14% Part Time, and 3% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $117,000 per year, or $56.2 per hour.

Data Engineer

Kanak Elite Services Inc

Houston, TX • On-site

$109K - $131K/yr

Contractor

Posted 27 days ago

Job description

Hello There,

Wish you a Happy Wednesday,

My name is Yashmita, and I am a Technical Recruiter at Kanak IT Services LLC. I am reaching out to you regarding the following job opportunity. If you are interested, kindly reply to this email yashmita@kanakits.com with your updated resume.  

TITLE: DATA ENGINEER III

CONTRACT LENGTH: 6 - 12 MONTH CONTRACT, LOOKING TO THEN CONVERT

ONSITE 5 DAYS A WEEK IN DOWNTOWN HOUSTON OFFICE. LOOKING FOR HOUSTON LOCAL TALENT. 

NEED SENIOR CANDIDATES 12+ – 15+ YEARS OF CANDIDATE

 Required Qualifications

  • 7–10+ years of experience in Data Engineering or closely related Software Engineering roles with a data focus.
  • Expert-level SQL development and data analysis skills, including advanced query optimization and debugging.
  • Strong Python engineering skills and familiarity with software design principles and patterns (e.g., SOLID), unit testing, refactoring, and version control.
  • Hands-on experience building ELT/ETL pipelines and orchestration with tools such as Astronomer/Airflow; proficiency with Git and CI/CD.
  • Deep understanding of core data engineering patterns: ingestion, transformation, modeling (dimensional/SCDs), and delivery.
  • Proven experience with database physical design including partitioning and effective partition key selection; exposure to clustering and micro-partitioning on MPP/cloud data platforms.
  • Experience implementing data quality frameworks, observability/monitoring, and robust operational SLAs.
  • Experience with Lakehouse table formats (Apache Iceberg/Delta/Hudi) and columnar storage (Parquet) on object storage (e.g., AWS S3).
  • Strong communication skills with the ability to present complex technical concepts to both technical and business stakeholders.

Preferred Qualifications

  • Experience optimizing Snowflake workloads (compute sizing, tasks/streams, clustering, micro-partitioning).
  • Experience with dbt, Data Build Tool, or similar for transformation and testing.
  • Experience with event streaming (Kafka/Kinesis/Flink) and API-based data integration.
  • Experience with data catalog, governance, and lineage platforms.
  • Domain experience in Oil & Gas midstream operations or industrial IoT/time-series data.