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Data Engineer Jobs in Riverside, CA (NOW HIRING)

Wayvia

Data Engineer III

Irvine, CA · On-site +1

$130K - $160K/yr

The Data Engineer III will lead the development and maintenance of our data infrastructure and tools, ensuring data integrity and availability while driving the strategic direction of data ...

Ventura Foods

Senior Data Engineer

Irvine, CA

$130.87K - $171.77K/yr

Data Engineering & Pipeline Development - Design, build, and maintain scalable data pipelines and workflows in Snowflake, leveraging dbt for modular transformations and Fivetran for automated ...

Ventura Foods

Senior Data Engineer

Irvine, CA · On-site

$130.87K - $171.77K/yr

Data Engineering & Pipeline Development - Design, build, and maintain scalable data pipelines and workflows in Snowflake, leveraging dbt for modular transformations and Fivetran for automated ...

CGS Business Solutions

Senior Data Engineer

Irvine, CA

$112.40K - $152.70K/yr

The Senior Data Engineer will be part of a team designing and implementing our modern data platform to support enterprise-wide analytics, integration, and AI/ML initiatives. Together, the team will ...

Xponential Fitness

Principal Data Engineer

Irvine, CA · On-site +1

$165K - $195K/yr

The Principal Data Engineer will lead the design and evolution of Xponential Fitness's enterprise data architecture, enabling scalable, secure, and high-performing data infrastructure that powers ...

KPMG LLP

Snowflake Data Engineer

Irvine, CA · On-site +1

$122.90K - $147.60K/yr

Qualifications: • Bachelor's degree from an accredited college or university in computer science, information systems, or a related field • Proven experience as a Snowflake Data Engineer or in a ...

SAMYANG AMERICA INC

Sr. Data Engineer Specialist

Brea, CA · On-site

$80K - $95K/yr

The Data Engineer will be responsible for building and maintaining the data pipelines and infrastructure that power Samyang America's enterprise data platform. This role focuses on developing ...

LERETA, LLC

Senior Data Engineer

Pomona, CA

$114.28K - $140K/yr

The Senior Data Engineer leads the design, modernization, and operational support of the enterprise data platform. This role is responsible for architecting, optimizing, and supporting enterprise ...

Lereta

Senior Data Engineer

Pomona, CA · On-site

$114.28K - $140K/yr

The Senior Data Engineer leads the design, modernization, and operational support of the enterprise data platform. This role is responsible for architecting, optimizing, and supporting enterprise ...

LERETA, LLC

Senior Data Engineer

Pomona, CA · On-site

$106.40K - $144.60K/yr

LERETA, LLC is seeking a Senior Data Engineer to lead the design, modernization, and operational support of their enterprise data platform. This role involves architecting and optimizing data ...

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Data Engineer information

See Riverside, CA salary details

$46.4K

$135.3K

$185.2K

How much do data engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for 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 Does a Data Engineer Do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

How do Data Engineers typically collaborate with Data Scientists and Analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What are Data Engineers?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

More about Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Riverside, CA? The most popular types of Data Engineer jobs in Riverside, CA are:
What are popular job titles related to Data Engineer jobs in Riverside, CA? For Data Engineer jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Riverside, CA look for? The top searched job categories for Data Engineer jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Data Engineer jobs? Cities near Riverside, CA with the most Data Engineer job openings:
Data Engineer jobs near you

Data Engineer III

Wayvia

Irvine, CA • On-site, Remote

$130K - $160K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 23 days ago

Job description

Company Overview:
At Wayvia, we help the world's top brands stay ahead—using AI, data, and innovation to shape the future of commerce. Whether you're charting a new path or leveling up your journey, Wayvia is where your career can go further. We'd love to meet you.
We help global brands connect with their shoppers in ways that are relevant, respectful, and real. And we do the same for each other—with trust, transparency, and the human connection that makes great work possible.
At Wayvia, you'll find a team that's curious, collaborative, and always up for solving what's next. We move fast, think boldly, and support one another in building something that matters—for our clients, for shoppers, and for each other.

Job Brief:

The Data Engineer III will lead the development and maintenance of our data infrastructure and tools, ensuring data integrity and availability while driving the strategic direction of data initiatives.

Essential Functions & Responsibilities:

  • Lead the design, development, testing, deployment, maintenance, and improvement of advanced data engineering solutions and pipelines.
  • Prioritize, manage, and deliver multiple high-impact projects.
  • Establish data quality standards — automated tests, anomaly detection, and freshness SLAs
  • Write and maintain dbt models, tests, and documentation to ensure data quality and consistency
  • Identify infrastructure improvements to reduce cost, improve reliability, and eliminate single points of failure
  • Build and govern canonical dbt models in Snowflake using dimensional modeling principles, ensuring consistent metric definitions and entity relationships across Looker and the MCP server for both BI and AI consumers
  • Own dbt model governance — standardize modeling patterns, enforce testing and documentation requirements, and manage the project structure across domains
  • Define and maintain a consistent semantic layer — metric definitions, business logic, and entity relationships — ensuring alignment across BI tools, the MCP server, and AI consumers regardless of the tooling layer
  • Support Snowflake administration/Looker administration alongside other data platform team members

Minimum Qualifications:

  • BS degree in Computer Science or related field or equivalent practical experience.
  • 5+ years of data engineering experience, with a track record of designing, building, and maintaining ELT pipelines and dimensional data models in production environments
  • Expertise in processing and integrating large-scale data from multiple sources.
  • Advanced SQL query skills with complex joins and common-table expressions.
  • Strong hands-on Snowflake experience (prior admin experience a plus, but not required)
  • Proficiency with dbt — production-grade model development, testing, documentation, and project governance
  • Proficient coding skills in Python, Java, or similar languages.
  • Proficiency in Git-based version control and CI/CD pipelines for data infrastructure
  • Familiarity with workflow orchestration tools or Data Orchestration Platform — (Airflow/Perfect/Dagster, etc)
  • Strong sense of data ownership — you treat data as a product and hold a high bar for quality and reliability

Preferred Qualifications:

  • Experience with data observability and lineage tools
  • Knowledge of AI/ML
  • Experience building or contributing to a semantic layer or canonical data model, with emphasis on consistent metric and entity definitions across consumers
  • Experience with Looker development or administration
  • Background in e-commerce, retail analytics, or SaaS data platforms

Benefits:
Wayvia encourages a healthy work-life balance and commitment to employee wellbeing. We are consistently evaluating areas to support and foster a community of engaged employees. Wayvia is an international employer so some benefits offering will vary from country to country, however, below you can see employer sponsored contributions:

  • Flexible work-from-home arrangements
  • 401K Match
  • Flexible vacation
  • Medical/Dental/Vision
  • 16 weeks of paid parental leave (US)
  • Technical stipend
  • Professional development programs
  • Wellness programs

Location:
This is a remote position open to candidates based in the United States.

Compensation:
The salary for this role is $130,000-160,000. Please note that our salary ranges are based on current market data and the offered compensation may vary based on experience, skills, location, and other factors permitted by law.

Wayvia is an equal opportunity employer that is committed to inclusion and diversity.