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Data Engineer Jobs in Rialto, CA (NOW HIRING)

Brighton

Data Engineer

City Of Industry, CA

$90K - $120K/yr

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 ...

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 ...

Esri

Data Engineer II - Street Data

Redlands, CA · On-site

$115K - $138K/yr

Overview 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 ...

Conch Technologies Inc

Senior Data Engineer

Anaheim, CA · On-site

$111K - $150K/yr

Senior Data Engineer Location: Anaheim, CA (Hybrid - 2 to 3 days onsite per week) Duration:6+ Months Note : W2 role No C2CJob Summary We are seeking an experienced Senior Data Engineer to join our ...

Samyang America, Inc.

Sr. Data Engineer Specialist

Brea, CA · On-site

$118K - $141K/yr

The Data Engineer will build and maintain data pipelines and infrastructure to support the enterprise data platform, focusing on developing efficient workflows for analytics and AI applications.

Lobel Financial Corporation

Be Seen First

Sr. Data Engineer, Mircosoft Fabric

Anaheim, CA · On-site

$110K - $170K/yr

Job Summary We are seeking a Senior Data Engineer with hands-on Microsoft Fabric experience to design, build, migrate, and support enterprise data platforms. This role develops scalable ETL and ELT ...

New

Anaheimducks

Lead Data Engineer

Anaheim, CA · On-site

$140K - $180K/yr

Lead Data Engineer Pay Details: The annual base salary range for this position in California is $140,000 to $180,000 per year. The starting pay for the successful candidate depends on various job ...

OCVIBE

Lead Data Engineer

Anaheim, CA · On-site

$140K - $180K/yr

Lead Data Engineer Pay Details: The annual base salary range for this position in California is $140,000 to $180,000 per year. The starting pay for the successful candidate depends on various job ...

OC Sports and Entertainment

Lead Data Engineer

Anaheim, CA · On-site

$140K - $180K/yr

Lead Data Engineer Pay Details: The annual base salary range for this position in California is $140,000 to $180,000 per year. The starting pay for the successful candidate depends on various job ...

OCVIBE

Lead Data Engineer

Anaheim, CA · On-site

$140K - $180K/yr

Lead Data Engineer Pay Details: The annual base salary range for this position in California is $140,000 to $180,000 per year. The starting pay for the successful candidate depends on various job ...

OC Sports and Entertainment

Lead Data Engineer

Anaheim, CA · On-site

$140K - $180K/yr

Lead Data Engineer Pay Details: The annual base salary range for this position in California is $140,000 to $180,000 per year. The starting pay for the successful candidate depends on various job ...

SAMYANG AMERICA INC

Sr. Data Engineer Specialist

Brea, CA · On-site

$80K - $95K/yr

The Data Engineer will be responsible for building and maintaining the data pipelines and infrastructure that power Samyang America's enterprise data platform. This role focuses on developing ...

Esri

Data Engineer II - Street Data

Redlands, CA · On-site

$79K - $133K/yr

Overview 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 ...

Socket.dev

Data Engineer II - Street Data

Redlands, CA · On-site

$80 - $133/hr

Overview 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 ...

New

Esri

Data Engineer II - Street Data

Redlands, CA · On-site

$79K - $133K/yr

Overview 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 ...

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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.
More about Data Engineer jobs

What job categories do people searching Data Engineer jobs in Rialto, CA look for?

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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.

Data Engineer

Brighton

City Of Industry, CA

$90K - $120K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 20 days ago

Job description

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 the kind of clear, personalized, and authentic communication our customers expect, by building the systems that help us understand and model customer behavior across channels.


You will bring technical depth across SaaS ETL, data warehouses, SQL, Python, and Excel/Google Sheets, and you will use those skills to connect data across our business, surface meaningful patterns, and support decision-making at every level. Your attention to detail matters here, as does your ability to work collaboratively with stakeholders who have different goals and levels of technical fluency.


You are joining a small, forward-thinking team that is actively redefining what data looks like at a modern retail brand. There is real ownership available here, and real impact.


This role reports to the Head of Data Analytics.


Responsibilities

  • Build, test, and deploy ETL/ELT patterns in an efficient, organized manner

  • Own data acquisition, transformation, modeling, and lineage

  • Manage data pipelines using DAG tools, SaaS ELT, and custom scripts

  • Partner with tech, marketing, and field teams to build scalable solutions that improve data accuracy, immediacy, and availability

  • Go beyond data engineering when needed: support the team with advertising performance, website analytics, customer segmentation, ROI modeling, LTV analysis, cross-channel analysis, media mix, and survey design

  • Communicate findings clearly to both technical and non-technical stakeholders


About you

  • You understand that the end goal of data is better customer engagement

  • You have a relentless but practical drive to make data accurate, immediate, and available

  • You dig into root problems before proposing solutions, and follow through once you do

  • You can hold multiple priorities and deadlines without dropping the ball

You should have

  • 4-5 years in a data-focused or technical role

  • Strong SQL skills (any variant)

  • Proficiency in Python, JavaScript, PHP, or .NET

  • Experience building and maintaining data pipelines

  • Expert-level Excel (pivot tables, vlookups, etc.)

  • Clear communicator with both technical and non-technical audiences

  • Self-starter who can manage priorities and workload with minimal supervision

  • Familiarity with BI/dashboarding tools a plus (Looker, Sigma, Tableau, Metabase, etc.)

  • Naturally curious and motivated to answer questions with data

We offer

  • Competitive salary and incentives

  • Inclusive benefits package including 401(k), medical, dental, and vision

  • Generous paid time off

  • Professional development and growth opportunities

  • Collaborative and innovative work environment


About Brighton


In 1972, our founders Jerry and Terri Kohl set out with a simple but bold idea: create beautifully crafted accessories that feel personal, meaningful, and made to last. They believed that artistry matters and that customers should be treated like lifelong friends. That belief still fuels us today.


At Brighton's headquarters, you'll find a community of passionate creators, problem-solvers, and innovators. Our buying team imagines what's next, our account specialists and shipping experts keep our nationwide network moving with precision, and our in-house artisans bring each design to life with extraordinary skill. We even have dedicated teams who restore and refresh beloved pieces so they can continue their journey with the people who cherish them.

Joining us means stepping into a place where heritage craftsmanship meets forward-thinking design. We're a company grounded in heart, yet always reaching for what's possible. Here, you're not just part of a brand, you're part of building the future of retail, one thoughtfully crafted handbag, necklace, and charm at a time.