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Dbt Data Engineer Jobs in California (NOW HIRING)

Anthropic

Data Engineer

San Francisco, CA · On-site

$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

Solomon Page

Lead Data Engineer

San Francisco, CA · On-site

$134K - $161K/yr

Build and optimize cloud-native data solutions using Dataproc, BigQuery, SQL, and dbt. * Design ... Build reusable frameworks, engineering standards, and technical documentation. * Support production ...

Sigma Computing

Data Engineer

San Francisco, CA · On-site

$140K - $180K/yr

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 ...

Red Bull

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 ...

Mercor

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 ...

Solomon Page

Data Engineer

Pleasanton, CA · On-site

$60 - $65/hr

Expert knowledge of Dataproc, BigQuery, SQL, and dbt. * Experience designing modern ETL/ELT ... data warehouse design. * Experience with Git, CI/CD pipelines, and engineering best practices.

OSI Digital

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 ...

Keystone

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

The Data Engineer will lead the design and implementation of scalable data workflows, architect ... Airflow, dbt, Spark, or equivalent). • Design data models and storage systems optimized for ...

Apple

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 ...

Judge Group, Inc.

Data Engineer III

Newport Beach, CA · On-site

$70 - $75/hr

Minimum 2-year hands on ETL development experience using DBT Minimum 5+ year hands on experience ... data engineering experience BS Degree: IT or Computer Science or Engineering By providing your ...

Expleo

DATA ENGINEER

Los Angeles, CA · On-site

$123K - $148K/yr

Développement & Data Engineering - Développer des solutions de collecte, stockage et distribution ... dbt, SQL, Snowflake - Développer des visualisations (Power BI, Streamlit) Documentation ...

New

OSI Digital

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 ...

Irvine Company

Data Engineer - Contract ($65 - $95)

Irvine, CA · On-site

$121K - $145K/yr

They are seeking a Data Engineer to develop dimensional models, ensure data quality, and maintain ... Responsibilities : • Design and develop dbt models following the medallion architecture (bronze ...

Expleo

DATA ENGINEER

Los Angeles, CA

$123K - $148K/yr

Developpement & Data Engineering - Developper des solutions de collecte, stockage et distribution ... avec dbt, SQL, Snowflake- Developper des visualisations (Power BI, Streamlit) Documentation ...

Relanto, Inc.

Snowflake Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Snowflake Data Engineer Location: SFO, CA // Dallas, TX (Hybrid) Duration: Long Term Key ... SQL, dbt, and Airflow •   Build and maintain REST APIs and microservices using Python ...

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Dbt Data Engineer information

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 California? For Dbt Data Engineer jobs in California, the most frequently searched job titles are:
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:
Dbt Data Engineer jobs near you
Infographic showing various Dbt Data Engineer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Engineer

Anthropic

San Francisco, CA • On-site

$134K - $162K/yr

Full-time

Re-posted 22 hours ago

Job description

About the Role

As a Data Engineer, you will be an early member of the Data Science & Analytics team building the foundation to scale analytics across our organization. You will collaborate with key stakeholders in Engineering, Product, GTM and other areas to build scalable solutions to transform data into key metrics reporting and insights. You will be responsible for ensuring teams have access to reliable, accurate metrics that can scale with our company's growth. You will also lead your own projects to enable self-serve insights to help teams make data-driven decisions. 

Responsibilities:
  • Understand the data needs of stakeholder teams in terms of key data models and reporting, and translate that into technical requirements
  • Define, build and manage key data pipelines in dbt that transform raw logs into canonical datasets
  • Establish high data integrity standards and SLAs to ensure timely, accurate delivery of data
  • Develop insightful and reliable dashboards to track performance of core metrics that will deliver insights to the whole company
  • Build foundational data products, dashboards and tools to enable self-serve analytics to scale across the company
  • Influence the future roadmap of Product and GTM teams from a data systems perspective
  • Become an expert in our organization's data models and the company's data architecture
You might be a good fit if you have:
  • 5+ years of experience as a Data Engineer or similar Data Science & Analytics roles, preferably partnering with GTM and Product leads to build and report on key company-wide metrics.
  • A passion for the company's mission of building helpful, honest, and harmless AI.
  • Expertise in building multi-step ETL jobs, building robust data models through tooling like dbt; proficiency with workflow management platforms like Airflow and version control management tools through GitHub.
  • Expertise in SQL and Python to transform data into accurate, clean data models.
  • Experience building data reporting and dashboarding in visualization tools like Hex to serve multiple cross-functional teams.
  • A bias for action and urgency, not letting perfect be the enemy of the effective.
  • A "full-stack mindset", not hesitating to do what it takes to solve a problem end-to-end, even if it requires going outside the original job description.
  • Experience building an Analytics Data Engineering (or similar) function at start-ups. 
  • A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress.

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