1

Dbt Data Engineer Jobs in California (NOW HIRING)

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

The ideal candidate should have hands-on experience with BigQuery, Apache Airflow, SQL, DBT (Data Build Tool), and Google Cloud Platform services . Required Skills * 5+ years (Developer) / 6-10 years ...

Staff Data Engineer

Santa Clara, CA · On-site +1

$134K - $161K/yr

Transform: dbt * Data Warehouse: Snowflake * BI Visualization: Looker * Code versioning: Gitlab ... As a Staff Data Engineer, you will provide technical leadership in the design, development, and ...

Data Engineer

Glendale, CA · On-site

$121K - $145K/yr

... dbt and contribute to scalable, reliable data solutions. * - Collaborate with data engineers, data scientists, analysts, and cross-functional teams to deliver data products. * - Apply data ...

Data Engineer

Santa Monica, CA · On-site +1

$128K - $154K/yr

The ideal candidate will have hands-on experience with Snowflake, dbt, Dagster, and Python to develop, implement, and maintain robust data pipelines and analytical solutions. The engineer will ...

Data Engineer

Santa Monica, CA · On-site +1

$128K - $154K/yr

The ideal candidate will have hands-on experience with Snowflake, dbt, Dagster, and Python to develop, implement, and maintain robust data pipelines and analytical solutions. The engineer will ...

Data Engineer

Carlsbad, CA · On-site

$118K - $142K/yr

Title: Data Engineer Location: Carlsbad, CA / Tempe, AZ (Hybrid - 3 days onsite) Duration ... Develop and maintain ELT/ETL pipelines using Airbyte, DBT, Google Cloud Platform/BigQuery . * Build ...

Data Engineer

San Francisco, CA

$134K - $162K/yr

About the Role As a Data Engineer, you will be an early member of the Data Science & Analytics team ... Define, build and manage key data pipelines in dbt that transform raw logs into canonical datasets

Develop and optimize enterprise data solutions using Dataproc, BigQuery, SQL, and dbt. * Create ... Contribute to reusable engineering standards, frameworks, and documentation. * Mentor team members ...

New

Data Engineer, Data Platform About the Role We are building out our Data Platform team at Sigma ... Fivetran, dagster, dlt, terraform, dbt, Snowflake, Sigma, Hightouch, Metaplane) * Build ...

Develop and optimize enterprise data solutions using Dataproc, BigQuery, SQL, and dbt. * Create ... Skills * 8+ years of experience in data engineering with technical leadership on enterprise ...

New

Data Engineer

San Francisco, CA · On-site +1

$134K - $162K/yr

Join a dynamic Supply Chain Data & AI team as a Data Engineer focused on building scalable data ... Develop and optimize data solutions using Dataproc, BigQuery, SQL, and dbt. * Create and maintain ...

New

Data Engineer

Santa Monica, CA · On-site

$112K - $160K/yr

The ideal candidate will have hands-on experience with Snowflake, dbt, Dagster, and Python to develop, implement, and maintain robust data pipelines and analytical solutions. The engineer will ...

Data Engineer

San Francisco, CA · On-site

$130K - $500K/yr

Designing dbt models and transformations to standardize and unify many disparate tables into clean ... Partnering with engineers, data scientists, and business stakeholders to ensure data availability ...

DBT Developer

Irvine, CA · On-site

$20 - $65/hr

Title DBT Developer Location Irvine, CA 5 days onsite Employment Contractor- 6 months Experience 4+ ... With deep expertise across data engineering, business intelligence, cloud platforms, advanced ...

AI Data Engineer

Cupertino, CA · On-site

$141K - $169K/yr

... dbt, Fivetran, or similar tools with a focus on reliability and maintainability • Document pipeline designs, data contracts, and operational runbooks Minimum Qualifications Bachelor's degree in ...

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 California look for? The top searched job categories for Dbt Data Engineer jobs in California are:
What cities in California are hiring for Dbt Data Engineer jobs? Cities in California with the most Dbt Data Engineer job openings:
Infographic showing various Dbt Data Engineer job openings in California as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Data Engineer

DPP Tech, Inc.

San Francisco, CA • On-site

$134K - $162K/yr

Other

Posted 6 days ago


Job description

We are seeking experienced Data Engineers with strong expertise in Google Cloud Platform (Google Cloud Platform) to design, develop, and maintain scalable data pipelines and modern cloud-based data platforms. The ideal candidate should have hands-on experience with BigQuery, Apache Airflow, SQL, DBT (Data Build Tool), and Google Cloud Platform services.

< data-start=620 data-end=640>Required Skills
  • 5+ years (Developer) / 6–10 years (Lead) of Data Engineering experience.
  • Strong hands-on experience with Google Cloud Platform (Google Cloud Platform).
  • Expertise in BigQuery for data warehousing and analytics.
  • Experience developing and maintaining workflows using Apache Airflow.
  • Advanced SQL skills for complex queries and performance optimization.
  • Hands-on experience with DBT (Data Build Tool) for data transformation.
  • Experience building scalable ETL/ELT pipelines.
  • Knowledge of data modeling, data warehousing, and dimensional modeling.
  • Experience with Git and CI/CD practices.
  • Strong debugging, optimization, and performance tuning skills.
< data-start=1310 data-end=1331>Preferred Skills
  • Python for data engineering and automation.
  • Experience with Cloud Composer, Cloud Storage, Pub/Sub, or Dataflow.
  • Familiarity with Agile/Scrum methodologies.
  • Excellent communication and collaboration skills.
< data-start=1548 data-end=1569>Responsibilities
  • Design, develop, and optimize cloud-native data pipelines on Google Cloud Platform.
  • Build and maintain ELT workflows using DBT and Airflow.
  • Develop scalable data models in BigQuery.
  • Optimize SQL queries and improve data processing performance.
  • Collaborate with analytics, BI, and application teams to deliver high-quality data solutions.
  • Monitor, troubleshoot, and enhance production data pipelines.
  • Mentor junior engineers (Lead role).

Please share your updated resume at