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Data Engineer Jobs in Riverside, CA (NOW HIRING)

ClifyX

BAU_L3-Data Engineer

Irvine, CA · On-site

$121K - $145K/yr

Job Summary : ClifyX is seeking an experienced Data Engineer with a strong background in Asset Management to lead enterprise-scale data engineering initiatives. The ideal candidate will be ...

Techoundsllc

Data Engineer - REMOTE

Corona, CA · Remote

$118K - $141K/yr

Job Overview We are seeking a skilled Data Engineer with 3-5 years of experience specializing in data analysis, writing queries, query optimization, reporting, and data solutions. The ideal candidate ...

Techoundsllc

Data Engineer - REMOTE

Corona, CA · Remote

$118K - $141K/yr

Job Overview We are seeking a skilled Data Engineer with 3-5 years of experience specializing in data analysis, writing queries, query optimization, reporting, and data solutions. The ideal candidate ...

JBA International

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 ...

Pwc

Data Engineer - Manager

Irvine, CA

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 ...

Reveel

Data Engineer (Remote)

Irvine, CA · Remote

$115K - $150K/yr

We are looking for a Data Engineer to help us expand and maintain our data infrastructure. We're seeking a junior to mid-level Data Engineer to join our small but mighty team. This role is all about ...

Pwc

Data Engineer - Senior Manager

Irvine, CA

$124K - $280K/yr

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 ...

Pwc

Data Engineer - Senior Associate

Irvine, CA

$77K - $202K/yr

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 ...

Wayvia

Data Engineer III

Irvine, CA · On-site +1

$160K - $180K/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 ...

Diverse Lynx

Data Engineer - Lead

Irvine, CA · On-site

$108K - $143K/yr

Diverse Lynx is seeking a Lead Data Engineer to oversee data engineering delivery. The role involves pipeline design and performance tuning, specifically using technologies like Databricks, Spark ...

ClifyX

BAU_L3 Support_Data Engineer

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 ...

CWILL

Data Engineer - Bilingual Mandarin required

Norco, CA · On-site

$123K - $147K/yr

S. Citizen required (we do nor sponsor) Job Title Data Engineer Focus Areas Data ingestion, data lakehouse, data warehouse, data platform, data service APIs, data quality & engineering agent ...

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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.

BAU_L3-Data Engineer

Tata Consultancy Service Limited

Irvine, CA • On-site

$110K - $150K/yr

Full-time

Posted 6 days ago

Job description

BAU/L3 - Data Engineer - L3 Support Engineer (Sr)
This role requires coordination between onshore, nearshore, and offshore teams
Required Skills
• Strong experience with Databricks, Apache Spark, and performance tuning.
• Expertise in Apache Airflow/Astronomer for workflow orchestration and DAG design.
• Deep understanding of Data Engineering, ETL/ELT, and large-scale data platforms.
• Experience with CI/CD, DevOps, Infrastructure as Code (IaC), and automation.
• Strong platform management, monitoring, and incident management experience.
• Excellent leadership and stakeholder management skills.
Preferred Domain Experience
• Asset Management
• Investment Management
• Capital Markets
• Portfolio & Market Data Platforms
Job Summary
We are seeking an experienced Data Eng Sr with a strong background in Asset Management to lead enterprise-scale data engineering initiatives. The ideal candidate will be responsible for end-to-end data delivery, platform stability, and managing multiple data engineering pods while ensuring alignment with business and investment management objectives.
Key Responsibilities
• Work with the Data Engineering Tower, in multiple teams and delivery pods.
• Own end-to-end data platform delivery, operational excellence, and SLA adherence.
• Drive scalable data pipeline development, data quality, and platform reliability.
• Manage cross-functional dependencies, stakeholder communication, and issue escalations.
• Ensure high availability, monitoring, alerting, and production support readiness.
• Collaborate with business, portfolio management, and technology leadership teams.
Define and implement best practices for platform governance, operational readiness, and performance optimization
Salary Range- $110,000-$150,000 a year

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