1

Dbt Data Engineer Jobs in Texas (NOW HIRING)

dbt Engineer

Meridian, TX · On-site

$118K - $177K/yr

We're seeking out a dbt Engineer as an expert in data transformation and analytics engineering, responsible for leading the design, implementation, and optimization of our data pipelines using dbt ...

Data Engineer

Lewisville, TX · On-site

$75K - $93K/yr

Write clean, optimized SQL and utilize DBT to transform raw data into production-ready models ... Experience: 1-3 years in data engineering, analytics engineering, or a data-heavy technical role.

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

Dallas, TX · On-site

$105K - $120K/yr

Role Summary We are seeking a highly skilled Data Engineer with strong expertise in Snowflake, dbt, Fivetran, SQL, Python, and AWS to support enterprise data modernization initiatives. The ideal ...

Data Engineer

Dallas, TX · On-site

$105K - $120K/yr

Roles & Responsibilities We are seeking a highly skilled Data Engineer with strong expertise in Snowflake, dbt, SQL, Python, and AWS to support enterprise data modernization initiatives. The ideal ...

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

We are seeking an experienced Data Engineer to architect, build, and maintain our next-generation ... Data Transformation (dbt) : Own the dbt project structure. specific responsibilities include:

Data Engineer

Austin, TX

$113K - $136K/yr

We are seeking an experienced Data Engineer to architect, build, and maintain our next-generation ... Data Transformation (dbt) : Own the dbt project structure. specific responsibilities include:

Data Engineer

Plano, TX · On-site

$100K - $120K/yr

Data Engineer Must Have Technical/Functional Skills Snowflake, DBT Roles & Responsibilities • Design and build data pipelines and models using Snowflake and dbt • Lead a team, provide technical ...

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 ...

Data Engineer

Arlington, TX · On-site

$103K - $123K/yr

Develop, test, and optimize dbt models for Snowflake and Azurebased lakehouse workloads * Engineer ingestion, transformation, and orchestration workflows across Azure Data Lake Storage * Implement ...

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 ...

Data Engineer

Dallas, TX

$113K - $136K/yr

Design, build, and maintain reporting pipelines using dbt and Snowflake , transforming raw claims and operational data into clean, modeled datasets ready for analysis * Develop and publish ...

next page

Showing results 1-20

Dbt Data Engineer information

Is dbt in demand?

Yes, dbt Data Engineers are in demand as organizations increasingly adopt modern data transformation tools to improve data workflows. Skills in SQL, data modeling, and familiarity with cloud platforms enhance job prospects in this field.

What engineer makes $500,000 a year?

Highly experienced data engineers, including those working with advanced big data tools like Apache Spark and cloud platforms, can earn salaries approaching or exceeding $500,000 annually, especially in senior or specialized roles at large tech companies. Achieving this level typically requires extensive expertise, certifications, and a strong track record in data architecture and engineering.

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.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing need for managing large-scale data pipelines, cloud platforms, and data integration tools. Skills in SQL, Python, and cloud services like AWS or Azure enhance job prospects in this field.

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.

Do data engineers use dbt?

Data engineers often use dbt (data build tool) to transform and model data within data warehouses. It is a popular tool for managing data pipelines, enabling version control, testing, and documentation, which are key responsibilities of data engineers.

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 job categories do people searching Dbt Data Engineer jobs in Texas look for? The top searched job categories for Dbt Data Engineer jobs in Texas are:
What cities in Texas are hiring for Dbt Data Engineer jobs? Cities in Texas with the most Dbt Data Engineer job openings:
Infographic showing various Dbt Data Engineer job openings in Texas as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

$118K - $177K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago


Blue Cross of Idaho rating

6.0

Company rating: 6.0 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

277th of 299 rated insurance


Job description

We're seeking out a dbt Engineer as an expert in data transformation and analytics engineering, responsible for leading the design, implementation, and optimization of our data pipelines using dbt (Data Build Tool) Cloud in a Snowflake environment. This role requires deep knowledge of dbt guidelines, ecosystem tooling, and continuous integration and delivery pipelines to deliver high-quality, trusted data models for analytics, reporting, and downstream applications. You will be instrumental in building a modern data platform that is scalable, reliable, and well-documented.


Required Qualifications

Location: this position has preference to based in hybrid work location (onsite at Meridian Idaho campus and WFH). There may be opportunity for fully remote within a mutually acceptable location.

Education: Bachelor's degree in quantitative or related technical field, or equivalent practical experience (two years' relevant work experience is equivalent to one-year college).

Experience: 2-4/+ in data engineering or analytics engineering, preferably in healthcare. Experience should also span:

  • 2-3+ years of extensive experience with dbt, including advanced concepts like Jinja macros, packages, and custom tests. Hands-on experience with dbt Cloud, including project setup, environment management, and job orchestration.

  • Proven experience working with a cloud data warehouse, preferably Snowflake.

  • Expertise in writing and optimizing complex SQL queries.

  • Strong understanding of data modeling principles (e.g., Kimball, Data Vault).

  • Experience with Python scripting for data-related tasks and automation.

  • Familiarity with version control (Git) and CI/CD practices.

  • Excellent communication, problem-solving, and collaboration skills.

Preferred Qualifications

  • Leveraging AI-powered assistants is highly desired. (e.g., Claude Code, dbt Copilot, Cursor) to automate routine tasks, including generating documentation, authoring data quality tests, and scaffolding dbt models.

  • Implementing AI-enhanced workflows is highly desired. (To streamline development, using intelligent code suggestions and state-aware orchestration to reduce manual refactoring and increase developer velocity, etc)

  • dbt Certification (e.g., dbt Analytics Engineering Certification)

Key Responsibilities

dbt Development and Best Practices

  • Build, develop, and maintain a robust dbt project using dbt Cloud, ensuring alignment with a layered approach (e.g., staging, intermediate, marts).

Data Pipeline Implementation

  • Build and maintain optimized ELT/ETL pipelines within Snowflake using dbt, focusing on efficient SQL transformations, materializations (tables, views, incremental models), and performance tuning.

Automation and CI/CD

  • Implement and manage CI/CD pipelines for dbt using dbt Cloud's native features or integrations with tools like GitHub Actions, ensuring that code changes are automatically tested and deployed.

Testing and Data Quality

  • Develop and implement a comprehensive testing strategy using dbt's built-in and custom tests to ensure data quality, accuracy, and integrity.

  • Leverage external integrations and dbt packages for advanced testing, data observability (e.g., Metaplane), and data quality monitoring.

Data Lineage and Governance

  • Apply dbt's data lineage features to create a transparent, end-to-end view of data flow from source to final models, visualizing dependencies via the Directed Acyclic Graph (DAG).

  • Enrich models with metadata and documentation using schema.yml to improve data discovery and governance.

Collaboration and Mentorship

  • Collaborate with data analysts, data scientists, and business partners to translate business requirements into technical dbt models.

  • Provide technical leadership, participate in code reviews, and mentor other team members on dbt methodologies and engineering standard processes.

Performance Optimization

  • Actively monitor and optimize dbt project performance in Snowflake, including managing costs, optimizing query execution, and selecting the most appropriate materialization strategy.

Advanced Features and Ecosystem

  • Stay current with new dbt features (e.g., Semantic Layer, column-level lineage) and leverage other tools in the modern data stack to enhance dbt capabilities.

As of the date of this posting, a good faith estimate of the current pay range is $96,183 to $144,275 (Engineer II); $118,506 to $177,758 (Engineer III). The position is eligible for an annual incentive bonus (variable depending on company and employee performance).The pay range for this position takes into account a wide range of factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, relevant experience, skills, seniority, performance, travel requirements, internal equity, business or organizational needs, and alignment with market data. At Blue Cross of Idaho, it is not typical for an individual to be hired at or near the top range for the position. Compensation decisions are dependent on factors and circumstances at the time of offer.

We offer a robust package of benefits including paid time off, paid holidays, community service and self-care days, medical/dental/vision/pharmacy insurance, 401(k) matching and non-contributory plan, life insurance, short and long term disability, education reimbursement, employee assistance plan (EAP), adoption assistance program and paid family leave program.

We will adhere to all relevant state and local laws concerning employee leave benefits, in line with our plans and policies.

Reasonable accommodations

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed above are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.


What Blue Cross of Idaho employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom