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Data Engineer Jobs in Rancho Cucamonga, CA (NOW HIRING)

Data Engineer

Highland, CA

$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 ...

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 ...

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 ...

Data Engineer III

Rancho Cucamonga, CA · Hybrid

$118K - $145K/yr

The Data Engineer will lead the development of data pipelines, transformation logic, and data architecture while ensuring solutions are secure, efficient, and aligned with organizational standards.

Data Engineer

City Of Industry, CA · On-site

$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 ...

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 ...

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 ...

Data Engineer - Bilingual Mandarin required

Norco, CA · On-site

$123K - $147K/yr

As a US-side data engineer, you will participate in multi-source data ingestion, data lakehouse and warehouse development, data quality governance, data platform capability building, and AI Agent ...

Data Engineer - Bilingual Mandarin required

Norco, CA · On-site

$123K - $147K/yr

As a US-side data engineer, you will participate in multi-source data ingestion, data lakehouse and warehouse development, data quality governance, data platform capability building, and AI Agent ...

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 ...

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 ...

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 ...

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 ...

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 ...

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Data Engineer information

See Rancho Cucamonga, CA salary details

$45.5K

$132.6K

$181.4K

How much do data engineer jobs pay per year?

As of Jul 28, 2026, the average yearly pay for data engineer in Rancho Cucamonga, CA is $132,559.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,000.00 and $140,500.00 per year, depending on experience, location, and employer.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

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 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 pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
What are the most commonly searched types of Data Engineer jobs in Rancho Cucamonga, CA? The most popular types of Data Engineer jobs in Rancho Cucamonga, CA are:
What are popular job titles related to Data Engineer jobs in Rancho Cucamonga, CA? For Data Engineer jobs in Rancho Cucamonga, CA, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Rancho Cucamonga, CA look for? The top searched job categories for Data Engineer jobs in Rancho Cucamonga, CA are:
What cities near Rancho Cucamonga, CA are hiring for Data Engineer jobs? Cities near Rancho Cucamonga, CA with the most Data Engineer job openings:
Infographic showing various Data Engineer job openings in Rancho Cucamonga, CA as of July 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 100% In-person job distribution, with an average salary of $132,559 per year, or $63.7 per hour.

$113K - $136K/yr

Full-time

Posted 19 days ago


Job description

Under the direction of the Manager Data Science, the Data Engineer will develop large, complex data sets, analytics tools, and data processes to support the department's analytics and data science functions. 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 with the interpretation, evaluation and interrelationship of research data.

This position is onsite 5 days per week in Highland, CA. There are no hybrid or remote positions available.

ESSENTIAL DUTIES AND RESPONSIBILITIES

1. Assembles large, complex data sets that meet functional enterprise requirements for requestor departments and within department and team.
2. Creates data tools for analytics and data science team members to assist them in building and optimizing work products.
3. Identifies, designs, and implements internal process improvements aimed at automation of manual processes and optimization of data delivery.
4. Partners with IT Data Services team to ensure Data Science infrastructure is operating efficiently and to identify new opportunities for efficiencies.
5. Assists with the interpretation, evaluation, and interrelationship of research data, and generates integrated enterprise analysis and projections for incorporation into decision making.
6. Motivates and mentors' staff to ensure commitment to excellence and quality service to all entities within the organization.
7. Performs other duties as assigned to support the ecient operation of the department.

EDUCATION, EXPERIENCE AND QUALIFICATIONS

  • Bachelor's degree in data science, Data Analytics, Statistics, Data Management, Business, Economics, Finance, Accounting, Mathematics, or related field required.

  • Minimum two (2) years of Data Engineering or related experience required.

  • Related, relevant, and/or direct experience may be considered in lieu of minimum educational requirements indicated above.

KNOWLEDGE, SKILLS AND ABILITIES (KSA)

  • Demonstrated experience acting as a critical liaison between IT teams and cross-functional business stakeholders.

  • High proficiency in Microsoft 365 including Word, Excel, and PowerPoint is required.

  • High proficiency with SQL is required.

  • High proficiency in API utilization is required.

  • Fundamental Business Intelligence Tool experience is required.

  • Fundamental Relational Databases, ETL, and Enterprise Reporting/Analytical Tools experience is required.

  • Fundamental level of Cloud/Server experiences required.

  • Fundamental level of Scripting Python or R Experiences required.

  • Fundamental level of SAS experience required.

  • Communication, Problem Solving, Interpersonal, Customer Service, Analytical Mindset, Teamwork, Attention to details, and Time Management.

LICENSES, CERTIFICATIONS AND REGISTRATIONS

  • At the discretion of the San Manuel Tribal Gaming Commission, you may be required to obtain and maintain a gaming license.

  • Driving Responsibilities: Role requires regular commuting between locations. A valid driver's license and vehicle insurance with minimum liability limits is required. Role will not operate or drive Tribe-owned vehicles or patron vehicles.

PHYSICAL REQUIREMENTS/ WORKING CONDITIONS - ENVIRONMENT

The physical demands and working environment described here are representative of those that an employee encounters and must be met by an employee to successfully perform the essential functions of this job.

  • Primary work environment is in a climate-controlled office setting.

  • Work requires travel to attend meetings, trade shows, and conferences.

  • Incumbents may be required to work evening, weekend and holiday shifts.

  • Must be able to work in a fast-paced, high-demand environment.

  • Strength sufficient to exert up to 10 pounds of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects and/or move up to 40 pounds occasionally.

  • Sedentary work: involves sitting most of the time. Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine, and computer printer.

  • Physical activities that apply to the essential functions of the position are balancing, stooping, kneeling, crouching, reaching, pushing, pulling, lifting, grasping, talking, hearing, and repetitive motions.

  • Hearing sufficient to hear conversational levels in person, via videoconference and over the telephone.

  • Speech sufficient to make oneself heard and understood in person, in front of groups, in meetings, via videoconference and over the telephone.

  • Visual acuity that meets the requirements of the position: The worker is required to have close visual acuity to perform an activity such as preparing and analyzing data and figures; transcribing; viewing a computer terminal; expansive reading and visual inspection of employees, visitors or facility.

  • Mobility sufficient to safely move in an office environment, walk, stoop, bend and kneel, and enter, exit and operate a motor vehicle in the course of travel to promotional events, meetings, conferences, trade shows and San Manuel properties.

  • Endurance sufficient to sit, walk and stand for extended periods, and maintain efficiency throughout the entire work shift and during extended work hours.

  • The employee may be exposed to fumes or airborne particles including secondhand smoke.

Reasonable accommodation will be made in compliance with all applicable law.

As one of the largest private employers in the Inland Empire, San Manuel deeply cares about the future, growth and well-being of its employees. Join our team today!