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Dbt Developer Jobs in California (NOW HIRING)

Staffingine LLC

DBT Architect

San Diego, CA · On-site

... Engineering Testing BI Review and approve design and deliverables Ensure adherence to timelines and quality standards Migration Modernization Lead ETL assessment and DBT transformation Drive ...

BirdEye Inc

Senior Financial Data Engineer

Palo Alto, CA · On-site

$124.80K - $169.50K/yr

Implement dbt best practices: modular design, ref() usage, incremental models, exposures, and a ... Serve as the data engineering liaison between Finance, Revenue Ops, and the broader Data ...

Eitacies Inc

Senior Data Engineer

Los Angeles, CA · Remote

$60/hr

Senior Data Engineer (Level II & Level III) Level II is Remote work Level III is Onsite at Los ... This role involves dbt development, data transformation, pipeline validation and Snowflake ...

AmaWaterways, LLC

Senior Data Engineer

Calabasas, CA · On-site

$145K - $160K/yr

... dbt Semantic Layer for governed metrics. * Keep VARIANT columns confined to Bronze. Gold and Reporting models are strictly typed. Cloud infrastructure and DevOps * Manage the AWS side of our ...

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See California salary details

$16

$52

$80

How much do dbt developer jobs pay per hour?

As of May 29, 2026, the average hourly pay for dbt developer in California is $52.15, according to ZipRecruiter salary data. Most workers in this role earn between $39.86 and $63.80 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a DBT Developer, and why are they important?

To thrive as a DBT Developer, you need strong SQL expertise, data modeling skills, and experience with ETL processes, typically supported by a background in computer science or data engineering. Familiarity with DBT (Data Build Tool), version control systems like Git, and cloud data warehouses such as Snowflake or BigQuery is essential. Attention to detail, problem-solving abilities, and effective communication help you deliver scalable data solutions and collaborate with cross-functional teams. These skills are crucial for building reliable data pipelines, ensuring data quality, and enabling data-driven decision-making within organizations.

How does a DBT Developer typically collaborate with data engineers and analysts on a project?

DBT Developers frequently work alongside data engineers to ensure that data pipelines provide clean, reliable data to downstream users. They collaborate with analysts to understand data requirements, define business logic, and implement transformations that support analytics and reporting. Regular communication is essential for aligning on naming conventions, documenting models, and troubleshooting issues. This collaboration often takes place through code reviews, shared documentation, and agile ceremonies such as sprint planning or stand-ups.

What is a Dbt Developer?

A Dbt Developer is a data professional who specializes in using dbt (data build tool) to transform raw data into clean, reliable datasets for analytics and business intelligence. They write modular SQL code to perform data transformations, manage data models, and ensure data quality within modern data warehouses. Dbt Developers collaborate closely with data engineers, analysts, and business users to create efficient, maintainable data workflows. Their work enables organizations to make informed decisions based on trustworthy and well-structured data.

What is the difference between Dbt Developer vs Data Engineer?

AspectDbt DeveloperData Engineer
Primary FocusBuilding and maintaining data transformation pipelines using dbtDesigning, developing, and managing data infrastructure and pipelines
Skills & CertificationsSQL, dbt, data modeling, analytics skillsSQL, Python, ETL tools, cloud platforms, data architecture
Work EnvironmentAnalytics teams, data warehouses, BI projectsData platforms, cloud environments, big data systems

While both roles involve working with data, a Dbt Developer specializes in transforming data using dbt within analytics and BI projects, whereas a Data Engineer focuses on building and maintaining the broader data infrastructure and pipelines across various systems.

What are popular job titles related to Dbt Developer jobs in California? For Dbt Developer jobs in California, the most frequently searched job titles are:
What job categories do people searching Dbt Developer jobs in California look for? The top searched job categories for Dbt Developer jobs in California are:
What cities in California are hiring for Dbt Developer jobs? Cities in California with the most Dbt Developer job openings:
Dbt Developer jobs near you
Infographic showing various Dbt Developer job openings in California as of May 2026, with employment types broken down into 97% Full Time, 2% Part Time, and 1% Contract. Highlights an 17% Physical, 11% Hybrid, and 72% Remote job distribution, with an average salary of $108,466 per year, or $52.1 per hour.
DBT Architect

DBT Architect

Staffingine LLC

San Diego, CA • On-site

Contractor

Posted 14 days ago

Job description

Job Title: DBT Architect
Job Location: San Diego, CA
Job Type: Contract

Job Description;

Architecture Strategy
Define end-to-end data architecture for Snap Logic to DBT migration
Establish DBT modeling standards staging intermediate marts
Design scalable and cost optimized solutions on BigQuery
Define migration roadmap and rollout plan
Client Stakeholder Management
Act as primary onshore contact for stakeholders
Translate business requirements into technical solutions
Lead workshops and design discussions
Provide status updates risks and mitigation plans
Delivery Oversight
Manage offshore teams DBT Engineering Testing BI
Review and approve design and deliverables
Ensure adherence to timelines and quality standards
Migration Modernization
Lead ETL assessment and DBT transformation
Drive automation using Vega framework
Ensure data validation and reconciliation
Implement CICD and DevOps practices
Governance Best Practices
Define data quality and governance standards
Establish naming conventions and coding standards
Ensure compliance with security policies

Required Skills
12 years in Data Engineering Architecture
Strong DBT Core Cloud expertise
Advanced SQL and data modeling
Experience in largescale migration programs
Strong BigQuery expertise
Onshore offshore delivery experience
Excellent communication and leadership skills

Good to Have
SnapLogic experience
Vega or similar automation tools
Data governance tools
BI tools Tableau Looker Power BI
Python scripting

Skills

Mandatory Skills : DBT, GitHub, Migration Planning, Stakeholder Management
Good to Have Skills : GCP BigQuery