ZipRecruiter

Log In

1

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

Koch

Analytics Engineer

Houston, TX · On-site

... dbt (models, tests, documentation, macros, exposures) • Experience using Snowflake for data ... DevOps (Repos, Pipelines, Boards) and Agile SDLC practices • Experience designing reusable ...

Software Technology Inc

Data Architect

Houston, TX · On-site

$61 - $78.25/hr

Partner with Data Architecture, emerging technologies and data engineering teams to enable data ... Experience developing solutions in Snowflake and related technologies like IICS, Snowpipe, DBT, or ...

Academy, Ltd.

Director Data Products

Katy, TX · On-site

Bachelor's Degree in Computer Science, Computer Engineering, Information Systems, Business ... Strong knowledge of modern data platforms and tools, including dbt, Looker, BigQuery, and cloud ...

Deloitte

Forward Deployed Engineer- AWS

Houston, TX

Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation * Experience with MLOps/LLMOps ...

Deloitte

Senior Forward Deployed Engineer- AWS

Houston, TX · On-site

$99K - $137K/yr

... Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation Experience withMLOps ...

next page

Showing results 1-20

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
Analytics Engineer

Analytics Engineer

Koch

Houston, TX • On-site

Full-time

Posted 25 days ago

Job description

Job Summary:
Koch Engineered Solutions (KES) is currently looking for an Analytics Engineer to join their global Information Technology team. In this role, you will design and deliver high-quality semantic models and BI solutions that drive decision-making across KES, collaborating with various teams to transform raw data into trusted analytics assets.
Responsibilities:
• Partner with analysts and business stakeholders to understand data gaps, define metrics, and design robust, scalable analytics solutions
• Design and build dimensional models that are clean, performant, and easy to use
• Develop and optimize SQL transformations to convert data into business friendly and reusable dimensional model objects
• Create and maintain Power BI semantic models that enable clear and efficient self service analytics
• Develop enterprise Power BI reports and dashboards with a focus on usability, performance, and consistent business definitions
• Implement and follow professional development practices: Git based version control, branching/PR workflows, testing/validation, CI/CD, etc.
• Collaborate with data engineers, architects, and other analytics engineers to align on standards for naming, documentation, data quality, and model governance
• Support adoption by documenting models and metrics, enabling stakeholder training, and improving discoverability
• Troubleshoot data issues with data models and reports and continuously improve reliability and performance
Qualifications:
Required:
• 3+ years in analytics engineering, BI development, or a similar role with significant data modeling responsibilities
• Bachelor’s degree in a quantitative, analytical, or engineering field (e.g., Data Science, Computer Science, Information Systems, Engineering, Mathematics) or equivalent practical experience delivering analytics outcomes
• Strong SQL skills for data transformation
• Demonstrated experience building dimensional data models for BI applications
• Hands on experience with Power BI semantic model and report development
• Experience with Power Query (M) and understanding of when/how to use it effectively
• Experience using Git in a team environment (branches, PRs, code reviews)
• Strong communication skills and comfort working directly with stakeholders
Preferred:
• Deep knowledge of dimensional modeling best practices and optimization techniques
• Experience with dbt (models, tests, documentation, macros, exposures)
• Experience using Snowflake for data transformation, including developing SQL based pipelines and reusable model layers
• Experience with Microsoft Fabric for data engineering and BI development
• Familiarity with Azure DevOps (Repos, Pipelines, Boards) and Agile SDLC practices
• Experience designing reusable semantic standards for enterprise reporting
• Exposure to data quality and observability practices
• Experience enabling AI capable models through strong metadata, consistent definitions, curated semantic layers, and documentation
• Experience with Agentic development and workflows
Company:
Based in Wichita, Kansas, Koch is one of the largest private companies in America. Founded in 1940, the company is headquartered in Wichita, USA, with a team of 10001+ employees. The company is currently Late Stage.

Apply