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Data Engineer Jobs in Rialto, CA (NOW HIRING)

LERETA, LLC

Senior Data Engineer

Pomona, CA

$114K - $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 ...

Esri

Data Engineer II - Street Data

Redlands, CA · On-site

$80 - $133/hr

We are seeking a talented Data Engineer to join our team and play a key role in building world-wide street networks. You will be responsible for designing, developing, and maintaining ETL processes ...

Lereta

Senior Data Engineer

Pomona, CA · On-site

$114K - $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 ...

Esri

System Engineer- Enterprise Data Engineer

Redlands, CA · On-site

$107K - $133K/yr

You will be part of a talented cross-functional team of dynamic and passionate engineers to deliver ... Implement data security measures, access controls, and compliance standards across environments

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Showing results 21-40

All JobsData Engineer JobsData Engineer Jobs in Rialto, CA

Data Engineer information

See Rialto, CA salary details

$44.6K

$130.1K

$178K

How much do data engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for data engineer in Rialto, CA is $130,076.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,800.00 and $137,900.00 per year, depending on experience, location, and employer.

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.

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.

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 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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. 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 or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
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What cities near Rialto, CA are hiring for Data Engineer jobs?

Cities near Rialto, CA with the most Data Engineer job openings:

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Rialto, CA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $130,076 per year, or $62.5 per hour.

Lead Data Engineer-locals to Canada only

Innovative Information Technologies, Inc

Ontario, CA • On-site

$116K - $139K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Title: Lead Data Engineer

Location: Canada (Remote)

Required Qualifications

Experience:

  • 8+ years of experience in data engineering, software engineering, or enterprise

    data platform development.
  • 3+ years of technical leadership experience leading engineering teams or large-
  • scale data initiatives.
  • Proven experience designing and delivering enterprise data platforms, pipelines,
  • and data products.
  • Experience operating within agile software development environments.

Technical Skills

  • Advanced SQL and data modeling expertise.
  • Strong Python and PySpark development experience.
  • Deep understanding of ETL and ELT architecture patterns.
  • Experience implementing Master Data Management solutions.
  • Experience building RESTful APIs and data services.
  • Familiarity with GraphQL and modern integration approaches.
  • Understanding of microservices-based architectures.
  • Experience implementing event-driven and real-time data processing solutions.
  • Strong understanding of data quality frameworks, metadata management, and
  • data lineage concepts.

Apply