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Dbt Data Engineer Jobs in Spring, TX (NOW HIRING)

Diverse Lynx

Senior ETL Data Engineer

Houston, TX · On-site

$101K - $137K/yr

AWS Glue & Lambda (8+ years overall ETL experience) DBT (Data Modelling) Snowflake (Data Warehouse ... engineering initiatives, ensuring high performance, data quality, and reliability Develop and ...

Kanak Elite Services Inc

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 ...

INSPYR Solutions

Data Engineer

The Woodlands, TX · On-site

$70 - $85/hr

Data Engineer Location: Spring, TX on site 3 days per week. Tues, Wed, Thurs onsite. Only ... Use Spark SQL, DBT, and Azure Synapse to transform raw data into structured, analytics-ready ...

INSPYR Solutions

Data Engineer

Spring, TX · On-site

$70 - $85/hr

Data Engineer Location: Spring, TX on site 3 days per week. Tues, Wed, Thurs onsite. Only ... Use Spark SQL, DBT, and Azure Synapse to transform raw data into structured, analytics-ready ...

Drunix Solution Inc

Snowflake Data Engineer

Houston, TX · On-site

$109K - $131K/yr

The Data Engineer will help create trusted, reusable data assets that support applications ... Build transformation logic using dbt , including modular models, testing, documentation, and ...

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Prudent Technologies and Consulting

Data Architect

Houston, TX · On-site

$61 - $78.25/hr

This role will support strategic data initiatives using Snowflake, AWS, Iceberg managed tables, Snowflake Catalog, Snowflake Horizon, Informatica, and dbt. The Data Engineer will help create trusted ...

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All JobsDbt Data Engineer JobsDbt Data Engineer Jobs in Spring, TX

Dbt Data Engineer information

See Spring, TX salary details

$39.6K

$115.4K

$158K

How much do dbt data engineer jobs pay per year?

As of Jun 24, 2026, the average yearly pay for dbt data engineer in Spring, TX is $115,433.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,900.00 and $122,400.00 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.

What are popular job titles related to Dbt Data Engineer jobs in Spring, TX? For Dbt Data Engineer jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Dbt Data Engineer jobs in Spring, TX look for? The top searched job categories for Dbt Data Engineer jobs in Spring, TX are:
What cities near Spring, TX are hiring for Dbt Data Engineer jobs? Cities near Spring, TX with the most Dbt Data Engineer job openings:
Dbt Data Engineer jobs near you

Snowflake DBT Data Engineer

Futran Tech Solutions Pvt. Ltd.

Houston, TX • On-site

$109K - $131K/yr

Full-time

Posted 20 days ago

Job description

Snowflake Data Modelling SQL and DBT Engineer
Location Spring TX Day 1 onsite
Detailed JD
Strong Technical Competencies
o Snowflake
o Curation of Snowflake SQL stored procedure Managing data
o JavaScript Java NET Python JS
o Data modelling
o Power B visualization techniques
o Airflow Scheduled Job Python Containers OpenShift
o API knowledge
o Security Aspects SSO
o Connectivity Azure and Onprem
Strong communication and interpersonal skills with strong English proficiency
Demonstrate critical thinking analytical skills and employ judgment to offer thoughtful concise input toward resolutions of problems
Be able to translate business processes into data requirements
Preferred Knowledge Skills andor Abilities
Strong Advantage
Comprehension of Trading application to data centric architecture and solutions o Working knowledge of Energy Trading Risk Management ETRM systems
Working knowledge of Agile Frameworks ie Scrum and Kanban
Ability to manage workload under time pressure and changing priorities
Knowledge of business application product lifecycle design implementation change management"

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