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

NextEra Energy

Sr Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Experience with DBT, Prefect (or similar orchestration tools like Airflow) data replication ... Bachelor's - Engineering NextEra Energy offers a wide range of benefits to support our employees ...

NextEra Energy

Sr Data Engineer

Houston, TX

$109K - $131K/yr

Experience with DBT, Prefect (or similar orchestration tools like Airflow) data replication ... Bachelor's - Engineering NextEra Energy offers a wide range of benefits to support our employees ...

Whitewatercw

Senior Data Engineer - Software

Houston, TX · On-site

$100 - $130/hr

Senior Data Engineer - Software Note: Position is not eligible for visa sponsorship. At WhiteWater ... as DBT. * Develop and manage APIs to support system and data integrations. * Administer and ...

Sumeru Solutions

Snowflake DBT Developer

Houston, TX · On-site

$80/hr

RH ID 683543 DBT Snowflake developer Location Houston TX Day 1 onsite Pay Rate $80/hr Client ExxonMobil Global Services Company The "must have" are snowflake, Data modelling, SQL with dbt as a plus.

YO AI Labs

Snowflake Data Architect

Houston, TX · On-site

$130 - $180/hr

Experience with dbt for data transformations, testing, documentation, and analytics engineering workflows. * Understanding of Apache Iceberg or open table formats, including managed tables, schema ...

YO AI Labs

Snowflake Data Architect

Houston, TX · On-site

$61 - $78.25/hr

Experience with dbt for data transformations, testing, documentation, and analytics engineering workflows. * Understanding of Apache Iceberg or open table formats, including managed tables, schema ...

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Showing results 21-40

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 Aug 15, 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 is a dbt data engineer?

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

Analyst, Lead Data Engineering

Enterprise Products Partners L.P.

Houston, TX

Full-time

Re-posted 19 days ago

Enterprise Products rating

9.2

Company rating: 9.2 out of 10

Based on 40 frontline employees who took The Breakroom Quiz

1st of 53 rated energy and utility

Job description

Tap into the professional possibilities of the largest publicly traded energy partnership that features one of the most diversified cash flow streams in the midstream segment of the energy industry. With dynamic career opportunities and a creative and supportive environment, our unique midstream energy organization offers the chance to share and be recognized for your ideas.  Join our team and increase your opportunities for success.

We are currently seeking an experienced Data Engineer to join the Big Dat and Advanced Analytics department. The Data Engineer will work closely with business domain experts to create an Enterprise Data Lakehouse to support data analytic use cases for the midstream oil and gas operations, engineering, and measurements business units.  Responsibilities include, but are not limited to:

  • Design and implement reliable data pipelines to integrate disparate data sources into a single Data Lakehouse.
  • Design and implement data quality pipelines to ensure data correctness and building trusted datasets.
  • Design and implement a Data Lakehouse solution which accurately reflects business operations.
  • Assist with data platform performance tuning and physical data model support including partitioning and compaction.
  • Provide guidance in data visualizations and reporting efforts to ensure solutions are aligned to business objectives.
  • Automate and optimize the data lifecycle, find insights from raw data, and applying DevOps principle to data pipelines.
  • Work with business leaders to deliver custom software solutions meeting data needs.
  • Build and support a data platform for data engineering teams to build, deploy and manage applications.

The successful candidate will meet the following qualifications:

  • 5 years of experience as a Data Engineer designing and maintaining data pipeline architectures.
  • 5 years of in-depth programming experience in Python and SQL.
  • 5 years in software development lifecycle experience with software engineering, development, testing, version control, refactoring, and deployment.
  • Experience with common Python Data Engineering packages including pandas, Numpy, Pyarrow, Pytest, Scikit-Learn, and Boto3.
  • Experience in implementing a Data Lakehouse using Apache Iceberg or Delta Lake.
  • Experience with data platform architecture responsible for high-level design, strategy and implementation of data infrastructure, including data modelling, designing scalable architectures and ensuring data governance, security and compliance.
  • Knowledgeable of modern data platform technologies including Apache Airflow, Kubernetes, and S3 Object Storage.
  • Experience with AWS, Snowflake, dbt and Airbyte is preferred.
  • Experience with infrastructure as code, building consistent and repeatable cloud infrastructure.
     

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