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Data Engineer Jobs in Riverside, CA (NOW HIRING)

Data Engineer

Irvine, CA · On-site

$122.90K - $147.60K/yr

Data Engineer Location: Irvine, CA Job Type: Full-Time Opportunity Job Summary We are seeking a highly skilled Data Engineer with strong platform engineering and data pipeline expertise to support ...

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 ...

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 ...

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 ...

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 ...

Data Engineer

Irvine, CA

$122.90K - $147.60K/yr

We are looking for a Data Engineer (Data Analyst) to join Arctiq dedicated entirely to a high-priority internal data implementation. This is primarily a data engineering role, the successful ...

Data Engineer

Irvine, CA · On-site

$122.90K - $147.60K/yr

We are looking for a Data Engineer (Data Analyst) to join Arctiq dedicated entirely to a high-priority internal data implementation. This is primarily a data engineering role, the successful ...

Data Engineer

Irvine, CA · Remote

$117.20K - $140.70K/yr

We are looking for a Data Engineer (Data Analyst) to join Arctiq dedicated entirely to a high-priority internal data implementation. This is primarily a data engineering role, the successful ...

Sr Data Engineer

Irvine, CA

$122.90K - $147.60K/yr

Job Title Sr Data Engineer (Only W2) Location: : Irvine, CA / Chandler, AZ / Scottsdale, AZ / Plano, TX (Hybrid) Contract: 6 Months C2H role. Position Summary: Responsible for delivering senior level ...

Sr. Data Engineer

Irvine, CA · On-site

$125K - $150K/yr

We are adding an experienced Senior Data Engineer who will lead the design, development, and optimization of robust data pipelines and enterprise data solutions. The person in this role will mentor ...

We are adding an experienced Senior Data Engineer who will lead the design, development, and optimization of robust data pipelines and enterprise data solutions. The person in this role will mentor ...

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 ...

Overview The Data Engineer V will design and lead the build-out of Planet DDS's next-generation, AI-first data and analytics platform, where automation, intelligent pipelines, and machine-ready data ...

Data Engineer

Irvine, CA · On-site

$87K - $100K/yr

Preferred experience in DevOps or similar. * Analyzes data usage trends to forecast capacity needs and support scalability planning. * Serves as a key EDW resource, collaborating with development and ...

Preferred experience in DevOps or similar. * Analyzes data usage trends to forecast capacity needs and support scalability planning. * Serves as a key EDW resource, collaborating with development and ...

Data Engineer

Irvine, CA · On-site

$125K - $135K/yr

... Developer or Administrator, with hands-on experience developing relational and object-oriented databases. * 2+ years of hands-on experience working with Snowflake data warehouses and data lake ...

Data Engineer

Irvine, CA

$125K - $135K/yr

... Developer or Administrator, with hands-on experience developing relational and object-oriented databases. * 2+ years of hands-on experience working with Snowflake data warehouses and data lake ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

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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 30, 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.

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:

$122.90K - $147.60K/yr

Full-time

Posted 17 days ago


Job description

Overview:
Job Title: Data Engineer
Location: Irvine, CA
Job Type: Full-Time Opportunity
Job Summary
We are seeking a highly skilled Data Engineer with strong platform engineering and data pipeline expertise to support enterprise-scale delivery initiatives. The ideal candidate should have deep hands-on experience with Databricks, Airflow/Astronomer, DevOps automation, and scalable data engineering solutions.
This role requires senior-level engineers capable of owning technical delivery, driving platform reliability, and collaborating with highly technical engineering teams.
Required Skills
  • Strong hands-on expertise in:
    • Databricks
    • Apache Spark
    • Airflow / Astronomer
    • Data Engineering and pipeline orchestration
  • Experience with:
    • Spark performance tuning
    • Databricks platform administration
    • DAG design and enterprise orchestration
    • Data quality and scalable pipeline architecture
  • Strong DevOps knowledge including:
    • CI/CD pipelines
    • Infrastructure as Code (IaC)
    • Automation frameworks
  • Experience managing:
    • Platform stability
    • Monitoring and observability
    • Operational readiness and support
Key Responsibilities
  • Design, develop, and optimize scalable data pipelines and workflows
  • Build and maintain enterprise orchestration solutions using Airflow/Astronomer
  • Perform Spark optimization and Databricks platform tuning
  • Support platform engineering initiatives focused on scalability, reliability, and automation
  • Implement CI/CD and infrastructure automation for data platforms
  • Monitor platform health and ensure operational stability
  • Collaborate with cross-functional engineering teams to deliver technical solutions
  • Own technical delivery for assigned scope, timelines, and outcomes
Preferred Qualifications
  • Experience in cloud-based data engineering environments
  • Strong troubleshooting and performance optimization skills
  • Experience working in highly technical Agile engineering teams