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Dbt Data Engineer Jobs in Riverside, CA (NOW HIRING)

Lead Data Engineer

Anaheim, CA · On-site

$140K - $180K/yr

Lead Data Engineer Pay Details: The annual base salary range for this position in California is ... Production experience with dbt, including project structure, robust test coverage, and development ...

Experience with modern data engineering tools and frameworks, such as Spark, dbt, Airflow, and Kafka. * Microsoft ecosystem experience is preferred. Number of Direct and Indirect Reports * Direct: 2 ...

Data Platform Engineer, Data Pipelines

Irvine, CA · On-site

$122K - $147K/yr

About the Job As a Data Platform Engineer, Data Pipelines , you will design and build the systems ... Experience with dbt or similar transformation frameworks. Field AI Onsite Work Philosophy: Field AI ...

Data Platform Engineer, Data Pipelines

Irvine, CA · On-site

$122K - $147K/yr

About the Job As a Data Platform Engineer, Data Pipelines , you will design and build the systems ... Experience with dbt or similar transformation frameworks. Field AI Onsite Work Philosophy: Field AI ...

About the Job As a Data Platform Engineer, Data Pipelines , you will design and build the systems ... Experience with dbt or similar transformation frameworks. Field AI Onsite Work Philosophy: Field AI ...

About the Job As a Data Platform Engineer, Data Pipelines, you will design and build the systems ... Experience with dbt or similar transformation frameworks. Field AI Onsite Work Philosophy Field AI ...

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Showing results 21-40

Dbt Data Engineer information

See Riverside, CA salary details

$46.4K

$135.3K

$185.2K

How much do dbt data engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for dbt data engineer in Riverside, CA is $135,329.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,500.00 and $143,400.00 per year, depending on experience, location, and employer.

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.

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 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.

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 Riverside, CA?

For Dbt Data Engineer jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Dbt Data Engineer jobs in Riverside, CA look for?

The top searched job categories for Dbt Data Engineer jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Dbt Data Engineer jobs?

Cities near Riverside, CA with the most Dbt Data Engineer job openings:

Infographic showing various Dbt Data Engineer job openings in Riverside, CA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, and 5% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $135,329 per year, or $65.1 per hour.

$140K - $180K/yr

Full-time

Re-posted 20 days ago


Job description

A great experience starts with you!
Join our team to help create and develop the future of live entertainment and sports in Orange County!
Once you've had a chance to explore our current open positions, apply to the ones you feel best suit you, as an applicant, you can always see your application status in your profile.
Mission: To enrich the lives in our community through shared experiences, welcoming spaces, and responsible actions.
Vision: We will be the social and entertainment center of Orange County - a place where the cultural kaleidoscope of the region converges and connects. Our vibrant, rich collection of experiences will celebrate the diversity of our community.
Values: Be Safe | Do the Right Thing | Be Generous | Include Everyone | Make it Easy | Be Bold
Job Title:
Lead Data Engineer
Pay Details:
The annual base salary range for this position in California is $140,000 to $180,000 per year. The starting pay for the successful candidate depends on various job-related factors, including but not limited to the candidate's geographic location, job-related knowledge, skills, experience, education/training, internal value, peer equity, external market demands, and organizational considerations.
The Lead Data Engineer is responsible for designing, building, and governing a reliable data warehouse architecture that unifies key business data across ticketing, loyalty, and F&B systems. This role owns critical data engineering standards, identity resolution, Azure environment governance, and production-grade pipeline development while partnering with business and technical stakeholders to deliver trusted data products that support analytics, operations, and decision-making.
Responsibilities
  • Design and build a governed data warehouse architecture that unifies ticketing, loyalty, and F&B data into a single trusted source of truth
  • Own identity resolution end-to-end, including defining the entity framework, setting coverage standards, and expanding capabilities as new source systems are onboarded
  • Govern the Azure data environment, including monitoring, alerting, cost controls, and consolidation into a single reliable warehouse
  • Serve as the internal technical counterpart to the implementation partner by auditing the existing platform, evaluating architectural decisions, and driving toward full internal ownership
  • Translate complex data architecture decisions for non-technical business partners and collaborate with analytics and operations teams to deliver data products that drive business decisions
  • Mentor engineers and help build a culture of technical rigor while remaining hands-on as a builder

Qualifications
  • 6-9 years of hands-on data engineering experience designing and building production-grade systems
  • Academic background in a quantitative or technical field such as physics, mathematics, computer science, engineering, or a related field
  • Production-grade pipeline development experience in Python and advanced SQL, with strong attention to performance, observability, and maintainability
  • Production experience with dbt, including project structure, robust test coverage, and development of reliable transformation layers that support downstream reporting and analytics
  • Production experience with Airflow or equivalent tools, such as Dagster or Prefect, including DAG design, dependency management, and failure handling at scale
  • Deep cloud data warehouse experience; Azure preferred, with strong AWS or GCP experience transferable
  • Experience building or enforcing medallion architecture in a production environment
  • Experience inheriting or auditing an externally managed platform, including reviewing unfamiliar codebases and independently evaluating architectural decisions
  • Experience owning engineering standards, including code review, pipeline governance, and documentation practices
  • AI-native mindset, with experience using AI-assisted tools as a productivity multiplier

Knowledge, Skills, and Experience
Education - Bachelor's Degree
Experience Required - 6+ Years
This position is on-site.
Company:
OC Sports & Entertainment, LLC
Our Commitment:
We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and team members without regard to race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, parental status, military service, medical condition or any protected category prohibited by local, state or federal laws. We are firm believers that diversity and inclusion among our team members are critical to our success, and we seek to recruit, develop, and retain the most talented people from a diverse candidate pool.
Thanks for your interest in becoming part of OCVIBE!