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Data Engineer Jobs in Riverside, CA (NOW HIRING)

Commercial Bank of California

Data Engineer

Irvine, CA · On-site

$150K - $170K/yr

Data Engineer Location: Irvine, CA Job Type: Full-Time | Exempt | Hybrid Eligible Salary Range: $150,000 - $170,000 per year About Commercial Bank of California Commercial Bank of California (CBC) is ...

Tata Consultancy Services

Data Engineer

Irvine, CA · On-site

$121K - $145K/yr

Tata Consultancy Services is seeking a Data Engineer to provide project-based Platform Engineering delivery support. The role requires strong technical depth in areas such as Databricks, Airflow, and ...

EMCOR Mechanical Services, Inc.

Data Engineer

Irvine, CA

$115K - $145K/yr

The Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support analytics, reporting, and data-driven decision-making. This role is an ...

EMCOR Mechanical Services, Inc.

Data Engineer

Irvine, CA · On-site

$115K - $145K/yr

The Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support analytics, reporting, and data-driven decision-making. This role is an ...

Tata Consultancy Service Limited

Data Engineer

Irvine, CA · On-site

$120K - $150K/yr

Data Engineer We are seeking project based Platform Engineering delivery support with strong, hands on technical depth in the following areas: • Databricks advanced Spark, performance tuning ...

twenty80.io

Data Engineer III

Rancho Cucamonga, CA · Hybrid

$118K - $145K/yr

The Data Engineer will lead the development of data pipelines, transformation logic, and data architecture while ensuring solutions are secure, efficient, and aligned with organizational standards.

In-N-Out Burger

Data Engineer III

Irvine, CA · On-site

$134K - $161K/yr

Name: Data Engineer III Location: Irvine, CA Work Type: Full-time Department: Information Technology Description & Requirements Come join our family at In-N-Out Burger! We have an excellent ...

OSTechnical

Be Seen First

Hybrid Data Engineer

Irvine, CA · On-site

$130K - $160K/yr

The Data Engineer is responsible for designing, building, and maintaining data pipelines, data models, and data infrastructure that support analytics, reporting, and operational systems. This role ...

In-N-Out Burgers

Data Engineer III

Irvine, CA · On-site

$134K - $161K/yr

We have an excellent opportunity for a full-time Data Engineer III in the I.T. department in our Irvine, CA office. This role operates in a highly collaborative environment where Data Engineers work ...

Acra Lending

Data Engineer

Irvine, CA · On-site

$135K - $145K/yr

Summary We are looking for a talented Data Engineer who loves to be hands-on and has experience with Microsoft SQL Server, Snowflake, AWS RDS, and MySQL to join a team of Business Intelligence ...

ClifyX

Data Engineering _ Data Engineer - Lead

Irvine, CA · On-site

$121K - $145K/yr

ClifyX is seeking an experienced Data Engineering Tower /Pod Lead with a strong background in Asset Management to lead enterprise-scale data engineering initiatives. The ideal candidate will be ...

Bespoke Labs

Data Engineer

Pomona, CA · On-site

$116K - $139K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

In-N-Out Burger

Data Engineer III

Irvine, CA · On-site

$121K - $145K/yr

They are seeking a full-time Data Engineer III to work in a collaborative environment focused on data integration, development, and business intelligence to support reporting and analytics. The role ...

The Habit Burger Grill

Data Engineer

Irvine, CA · Hybrid

$34.47 - $38.46/hr

We are seeking a Data Engineer to become part of our dynamic data team. In this role, you will work in a hands-on technical role on a team focused on delivering the best experience to our internal ...

The Habit Burger Grill

Data Engineer

Irvine, CA · On-site

$34.47 - $38.46/hr

We are seeking a Data Engineer to become part of our dynamic data team. In this role, you will work in a hands-on technical role on a team focused on delivering the best experience to our internal ...

Yum

Data Engineer

Irvine, CA · On-site

$34.47 - $38.46/hr

We are seeking a Data Engineer to become part of our dynamic data team. In this role, you will work in a hands-on technical role on a team focused on delivering the best experience to our internal ...

Yum Brands

Data Engineer

Irvine, CA · Hybrid

$34.47 - $38.46/hr

We are seeking a Data Engineer to become part of our dynamic data team. In this role, you will work in a hands-on technical role on a team focused on delivering the best experience to our internal ...

Planet DDS

Data Engineer IV

Irvine, CA

$118K - $170K/yr

Overview The Data Engineer IV will design and lead the build-out of Planet DDS's next-generation data and analytics platform - scalable, reliable, and AI-ready - enabling smarter decisions across ...

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Showing results 1-20

All JobsData Engineer JobsData Engineer Jobs in Riverside, CA

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 Jun 24, 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 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.

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.

Are data engineers highly paid?

Data engineers are generally well-paid due to their specialized skills in designing and maintaining data infrastructure, with salaries often higher than many other IT roles. Compensation varies based on experience, location, and industry, but strong technical skills in programming, databases, and cloud platforms typically lead to higher earnings.

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 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.

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 does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipeline tools. Entry-level data engineering positions may be available for candidates with relevant internships or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect some prior experience. Certifications or coursework in data management can also be beneficial for those starting out.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and leadership roles can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or large tech companies. Such compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires years of expertise and a strong track record in data architecture and engineering.
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
Infographic showing various Data Engineer job openings in Riverside, CA as of June 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 40% In-person, 20% Hybrid, and 40% Remote job distribution, with an average salary of $135,329 per year, or $65.1 per hour.
Data Engineer

Data Engineer

Commercial Bank of California

Irvine, CA • On-site

$150K - $170K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago

Job description

Data Engineer

Location: Irvine, CA
Job Type: Full-Time | Exempt | Hybrid Eligible
Salary Range: $150,000 – $170,000 per year

About Commercial Bank of California

Commercial Bank of California (CBC) is the largest Latino-owned bank in California and a certified Minority Depository Institution (MDI). Headquartered in Irvine and founded in 2003, CBC is one of the largest privately held banks in the state, with over $3.5 billion in assets as of December 2025.

We are a purpose-driven financial institution committed to building long-term relationships and delivering innovative, personalized banking solutions. Our leadership reflects the diverse communities we serve, and our mission is rooted in empowering entrepreneurs, business owners, and community leaders to thrive.

As a certified MDI, CBC is proud to play a vital role in advancing financial inclusion and economic opportunity. We believe in a higher vision for banking—one that prioritizes trust, collaboration, and community impact. Join us and be part of a team that’s redefining what it means to be a community-focused, relationship-driven bank that puts people over profits.

Job Summary

The Data Engineer will join our Enterprise Technology Services team to lead the design, development, and optimization of modern, scalable data platforms that power enterprise analytics and business intelligence. This role is ideal for a hands-on technical leader who thrives in building robust, governed data environments and enabling advanced, data-driven decision making.

With over 10 years of data engineering experience, this position serves as a senior individual contributor, owning end-to-end data architecture—from ingestion and transformation to modeling and governance. You will play a critical role in shaping data platforms that are reliable, scalable, and analytics-ready across cloud ecosystems.

This role places a strong emphasis on analytics engineering, ensuring that data is not only ingested and processed, but also thoughtfully modeled, curated, and governed to support high-quality business intelligence and advanced analytics.

You will work extensively with modern data technologies, including Microsoft Fabric, Azure Databricks, Unity Catalog, and lakehouse architectures, helping to build a trusted data foundation that enables consistent, actionable insights across the organization.

Essential Duties and Responsibilities

Data Platform & Architecture

  • Architect and maintain enterprise‑scale data platforms using Microsoft Fabric, Azure Data Lake, Azure Synapse, and Azure Databricks.
  • Design and implement lakehouse architectures and analytics‑optimized data layers to support BI, self‑service analytics, and advanced reporting.
  • Define platform standards for data ingestion, transformation, storage, and analytics consumption across the organization.

Data Engineering & Pipelines

  • Build, optimize, and operate reliable batch and streaming data pipelines using Databricks, Fabric Data Pipelines, and Azure‑native services.
  • Implement scalable ETL/ELT frameworks with strong data quality, validation, and observability.
  • Ensure pipelines are resilient, performant, and cost‑efficient in production environments.

Analytics Engineering & Data Modeling

  • Design and maintain analytics‑ready data models (star, snowflake, and dimensional models) to support Power BI and enterprise BI use cases.
  • Develop curated, trusted datasets and semantic layers that enable consistent metrics and reporting across the business.
  • Partner closely with analysts, BI developers, and business stakeholders to translate analytical requirements into scalable data solutions.

Governance, Security & Unity Catalog

  • Implement and manage Databricks Unity Catalog for centralized data governance, lineage, access control, and auditing.
  • Enforce best practices for data security, role‑based access, and data classification across platforms.
  • Ensure compliance with enterprise data governance and regulatory requirements.

DevOps, CI/CD & Reliability

  • Design and manage CI/CD pipelines for data engineering workloads using Azure DevOps.
  • Apply best practices for version control, automated testing, environment promotion, and deployment.
  • Monitor production data systems to ensure high availability and operational stability.
  • Experience in databricks asset bundles (DAB) is preferred

Cross‑Platform & Modern Analytics Experience

  • Work across modern analytics ecosystems, integrating Azure‑based platforms with other cloud data technologies as needed.
  • Leverage experience with Snowflake (architecture, data modeling, performance optimization) as a plus in hybrid or multi‑platform analytics environments.

Minimum Qualifications

  • 10+ years of experience in data engineering, analytics engineering, or data platform development.
  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field (Master’s preferred).
  • Deep hands‑on experience with:
    • Microsoft Fabric (Lakehouse, OneLake, Data Pipelines, Semantic Models)
    • Azure Databricks, including Unity Catalog
    • Data modeling for analytics and BI
    • Azure DevOps (CI/CD, Git, automated deployments)
    • Business Intelligence platforms, especially Power BI
  • Advanced proficiency in SQL and strong experience with Python / Spark‑based development.
  • Proven ability to deliver analytics‑ready, production‑grade data solutions.

Preferred Qualifications

  • Experience with Snowflake (data modeling, analytics workloads, performance tuning) a plus.
  • Background in financial services or regulated enterprise environments.
  • Experience supporting self‑service analytics and governed data democratization.
  • Snowflake experience considered a strong plus.
  • Familiarity with data quality, metadata management, and lineage tooling.
  • Microsoft certifications such as:
  • Azure Data Engineer Associate (DP‑203)
  • Microsoft Fabric Analytics Engineer (preferred)

Benefits & Perks

  • Competitive employer contribution to medical, dental and vision coverage
  • 401k plan with employer match
  • Flexible Spending Accounts (FSA) and Dependent Care Accounts
  • Employee Assistance Program (EAP)
  • Employer provided Calm subscription
  • Employer provided mental health benefits through Teladoc
  • Life, AD&D and disability insurance
  • Minimum 15 Days of Vacation, 11 Paid Federal Holidays, Paid Time off to Volunteer
  • Online discount program
  • Tuition Reimbursement Program

Join Our Team!

  • Submit your resume to Apply to Your Position Here

Equal Employment Opportunity & Accommodations

Commercial Bank of California is proud to be an Equal Employment Opportunity employer. We are committed to creating an inclusive environment for all employees and applicants. All qualified individuals will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, or any other legally protected characteristic.

We evaluate applicants fairly and equitably, including those with criminal histories, in accordance with applicable federal, state, and local laws.

Commercial Bank of California is also committed to providing reasonable accommodations to individuals with disabilities. If you require a reasonable accommodation during the application or interview process, please contact us at hrrecruiting@cbcal.com with the nature of your request and your contact information.

Recruitment Policy

Commercial Bank of California does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to CBC, either directly or indirectly, will be considered the property of Commercial Bank of California.

We will not pay a fee for any placement resulting from the receipt of an unsolicited resume. To submit candidates for consideration, recruiting agencies must have a valid, written, and fully executed agreement with Commercial Bank of California. Without such an agreement in place, no agency submissions will be accepted or compensated.

Applicants must be legally authorized to work in the United States at the time of hire. This position is not eligible for employment sponsorship.

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