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

Data Engineer

City Of Industry, CA ยท On-site

$90K - $120K/yr

We're looking for a hands-on Data Engineer who is comfortable owning data workflows end-to-end, from ingestion and transformation through deployment, orchestration, monitoring, and production support.

Data Engineer II - Street Data

Redlands, CA ยท 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 ...

Senior Data Engineer

Anaheim, CA ยท 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 ...

Sr. Data Engineer Specialist

Brea, CA ยท 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.

Lead Data Engineer

Anaheim, CA ยท 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 ยท 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 ยท 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 ยท 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 ยท 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 ยท 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 ...

Data Engineer II - Street Data

Redlands, CA ยท 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 ...

Senior Data Engineer

Pomona, CA ยท 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 ...

Senior Data Engineer

Pomona, CA ยท 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 ...

Data Platform Engineer

La Mirada, CA ยท On-site

$115K - $138K/yr

Position Summary The Data Platform Engineer is responsible for designing, supporting, and modernizing the company's enterprise data platforms across on-premises and cloud environments. This role ...

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Showing results 1-20

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 Aug 26, 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.

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.

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 August 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 100% In-person job distribution, with an average salary of $132,559 per year, or $63.7 per hour.

Data Engineer

City Of Industry, CA โ€ข On-site

$90K - $120K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 26 days ago


Job description

About this role


Brighton is a retail accessories brand doing genuinely innovative work in data and analytics. We're looking for a hands-on Data Engineer who is comfortable owning data workflows end-to-end, from ingestion and transformation through deployment, orchestration, monitoring, and production support. This is a small, hands-on data team, so the role extends beyond writing SQL and Python. You'll help maintain the development and runtime environments that our data pipelines depend on and will be expected to troubleshoot issues across the application, orchestration, container, and infrastructure layers.


This role reports to the Head of Data Analytics.


The kind of engineer who will do well at Brighton
You don't need to be a dedicated DevOps engineer, but you should be comfortable going below the data layer when something breaks. If a pipeline fails because of Python code, you'll investigate the code. If a container won't start, you'll investigate Docker. If an orchestration worker isn't behaving correctly, you'll inspect the worker and its logs. If credentials, networking, dependencies, or the runtime environment are the problem, you're comfortable digging into those areas as well. We're looking for someone who enjoys understanding how the entire data workflow operates and taking ownership of making it reliable.


Responsibilities

  • Build, deploy, and maintain production ETL/ELT pipelines using Python and SQL.

  • Develop and maintain data models in Snowflake using modern data engineering practices.

  • Own scheduled and event-driven workflows from source ingestion through downstream delivery.

  • Develop, deploy, and troubleshoot workflows running through Prefect or similar orchestration platforms such as Airflow or Dagster.

  • Build and support containerized data applications and pipelines using Docker.

  • Help maintain reproducible local and production development environments.

  • Monitor production pipelines and proactively identify failures, stale data, data-quality issues, and infrastructure problems.

  • Troubleshoot issues across Python applications, containers, orchestration workers, APIs, networking, credentials, and cloud infrastructure.

  • Implement logging, alerting, retries, validation, testing, and recovery/backfill strategies.

  • Use Git-based development workflows including branches, pull requests, code review, and controlled production deployments.

  • Help establish and improve engineering standards around CI/CD, environment management, testing, observability, documentation, and deployment.

  • Work directly with analysts and business stakeholders to understand requirements and translate business problems into reliable data solutions.


Technical experience we're looking for

  • Strong SQL and Python.

  • Production ETL/ELT pipeline development.

  • Hands-on experience with a workflow orchestration platform such as Prefect, Airflow, Dagster, Kestra, or similar.

  • Hands-on Docker/container experience, including building, running, debugging, and maintaining containerized applications.

  • Experience supporting production data pipelines and troubleshooting failures.

  • Git and collaborative software development workflows.

  • Experience with a cloud data warehouse such as Snowflake.

  • Understanding of data validation, monitoring, logging, retries, idempotency, and production recovery.

We'd love if you have

  • Experience administering or supporting orchestration workers/agents and their runtime environments.

  • CI/CD experience for data applications and pipelines.

  • AWS, Azure, GCP, or DigitalOcean infrastructure experience.

  • Experience with container registries, environment variables, secrets management, and application configuration.

  • Linux/server administration and troubleshooting experience.

  • Infrastructure-as-code experience such as Terraform.

  • dbt or similar transformation frameworks.

  • Experience managing development, test, and production environments.

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.