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Dbt Data Engineer Jobs (NOW HIRING)

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 ...

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 ...

Senior Data Engineer

Reston, VA · On-site

$70 - $75/hr

Senior Data Engineer: Remote Location: Remote Pay range: $70/hr. - $75/hr. On w2 Note: Temp to hire ... Apache Airflow * dbt (data build tool) * Build and implement automated testing solutions to ensure:

Data Engineer

Chesterfield, MO · On-site +1

$113K - $136K/yr

... dbt (data build tool) or equivalent transformation frameworks Exposure to dimensional modeling and data warehousing best practices What Success Looks Like In 90 days: Deploy first cloud pipeline to ...

Snowflake Data Engineer

Boston, MA · On-site

$124K - $149K/yr

We are seeking a Senior Snowflake Data Engineer with deep expertise in Snowflake, SQL, and modern ... Experience with dbt (data build tool) for transformation-as-code. * Workflow orchestration with ...

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Build, maintain, and document complex data transformation layers using DBT (Data Build Tool) to ... Pipeline Engineering: Develop scalable ETL/ELT workflows and robust data models to deliver real ...

Data Engineer

San Francisco, CA

$134K - $162K/yr

Build, maintain, and document complex data transformation layers using DBT (Data Build Tool) to ... Pipeline Engineering: Develop scalable ETL/ELT workflows and robust data models to deliver real ...

Data Engineer

Chesterfield, MO · On-site +1

$113K - $136K/yr

Job Type Full-time Description Data Engineer Chesterfield Office Hybrid or Remote Why You'll Want ... with dbt (data build tool) or equivalent transformation frameworks • Exposure to dimensional ...

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Build, maintain, and document complex data transformation layers using DBT (Data Build Tool) to ... Pipeline Engineering: Develop scalable ETL/ELT workflows and robust data models to deliver real ...

Data Engineer

Chesterfield, MO · On-site

$113K - $136K/yr

Data Engineer Chesterfield Office Hybrid or Remote Why You'll Want to Join! Join a leading Revenue ... with dbt (data build tool) or equivalent transformation frameworks • Exposure to dimensional ...

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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 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:
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

Kanak Elite Services Inc

Houston, TX • On-site

$109K - $131K/yr

Contractor

Posted 9 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.