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Data Engineer Jobs in Riverside, CA (NOW HIRING)

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

Highland, CA · On-site

$113K - $136K/yr

The Data Engineer will partner with the Information Technology (IT) Data Services team to ensure the efficient operation of the organization's data science infrastructure and will assist management ...

Sr. Data Engineer

Highland, CA

$113K - $136K/yr

Provides advanced expertise in data engineering, data integration, and data architecture, and collaborates with Information Technology (IT) departments, including Data Services, Geographic ...

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 Burgers! We have an excellent ...

About this role Brighton is a retail accessories brand doing genuinely innovative work in data and analytics, and we are looking for a Data Engineer to grow with us. Your work will directly enable ...

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 ...

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 ...

Data Engineer

Pomona, CA

$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 ...

C. is seeking a Lead Data Engineer to oversee data engineering delivery. The role involves skills in pipeline design and performance tuning, with a focus on asset management domain experience.

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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Showing results 1-20

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 Aug 4, 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.

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 is a data engineer?

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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience and proficiency with tools like SQL, Python, and cloud platforms.
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:
Infographic showing various Data Engineer job openings in Riverside, CA as of July 2026, with employment types broken down into 87% Full Time, 3% Part Time, and 10% Contract. Highlights an 87% In-person, 10% Hybrid, and 3% Remote job distribution, with an average salary of $135,329 per year, or $65.1 per hour.

$120K - $150K/yr

Full-time

Re-posted 23 days ago


Job description

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, platform administration
• Airflow / Astronomer DAG design, enterprise orchestration, reliability
• Data Engineering pipeline design, data quality, scalability
• DevOps CI/CD, infrastructure as code, automation
• Platform Management stability, monitoring, and operational readiness
We expect contributors who can own technical delivery for defined scope and outcomes. Profiles may be onshore, nearshore, or offshore, but must be senior, deeply technical engineers capable of engaging with a highly technical engineering team.
Salary Range- $120,000-$150,000 a year