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Data Engineer Gcp Data Engineer Jobs in Rancho Cucamonga, CA

Data Engineer

City Of Industry, CA

$115K - $138K/yr

We're looking for a hands-on Data Engineer who is comfortable owning data workflows end-to-end ... AWS, Azure, GCP, or DigitalOcean infrastructure experience. * Experience with container registries ...

Lead Data Engineer

Anaheim, CA · On-site

$140K - $180K/yr

Azure preferred, with strong AWS or GCP experience transferable * Experience building or enforcing medallion architecture in a production environment * Experience inheriting or auditing an externally ...

Lead Data Engineer

Anaheim, CA · On-site

$140K - $180K/yr

Azure preferred, with strong AWS or GCP experience transferable * Experience building or enforcing medallion architecture in a production environment * Experience inheriting or auditing an externally ...

Lead Data Engineer

Anaheim, CA · On-site

$140K - $180K/yr

Azure preferred, with strong AWS or GCP experience transferable * Experience building or enforcing medallion architecture in a production environment * Experience inheriting or auditing an externally ...

Lead Data Engineer

Anaheim, CA · On-site

$140K - $180K/yr

Azure preferred, with strong AWS or GCP experience transferable * Experience building or enforcing medallion architecture in a production environment * Experience inheriting or auditing an externally ...

Lead Data Engineer

Anaheim, CA · On-site

$140K - $180K/yr

Azure preferred, with strong AWS or GCP experience transferable * Experience building or enforcing medallion architecture in a production environment * Experience inheriting or auditing an externally ...

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 ... Familiarity with cloud platforms (AWS, Azure, or GCP). Preferred: * Experience with tools such as ...

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 ...

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 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 ...

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 ...

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 ...

Data Platform Engineer

La Mirada, CA · 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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Data Engineer Gcp Data Engineer information

See Rancho Cucamonga, CA salary details

$45.5K

$132.6K

$181.4K

How much do data engineer gcp data engineer jobs pay per year?

As of Aug 29, 2026, the average yearly pay for data engineer gcp 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 GCP data engineer?

A GCP Data Engineer is a data engineering professional who specializes in designing, building, and managing data processing systems on Google Cloud Platform (GCP). They work with cloud-based tools and services to collect, transform, and analyze large volumes of data, enabling organizations to gain insights and make data-driven decisions. GCP Data Engineers are proficient in technologies such as BigQuery, Dataflow, Pub/Sub, and Cloud Storage. Their role often involves ensuring data pipelines are reliable, scalable, and secure while optimizing performance and cost.

What are the key skills and qualifications needed to thrive as a GCP data engineer?

To thrive as a GCP Data Engineer, you need strong expertise in data modeling, ETL processes, and cloud architecture, typically backed by a degree in computer science or related field. Proficiency with Google Cloud Platform services (like BigQuery, Dataflow, and Pub/Sub), SQL, and tools such as Python or Java is essential, and certifications like Google Professional Data Engineer are highly valued. Strong problem-solving, communication, and teamwork skills help you collaborate effectively and translate business needs into technical solutions. These abilities ensure efficient, scalable data pipelines and reliable infrastructure, which are critical for driving data-driven decision-making.

What are some common challenges faced by data engineers working with GCP, and how can they be addressed?

Data Engineers working with Google Cloud Platform (GCP) often encounter challenges such as optimizing data pipeline performance, managing costs, and ensuring data security and compliance. Effective use of GCP's native monitoring and logging tools can help identify bottlenecks in ETL processes, while leveraging features like autoscaling in Dataflow or BigQuery partitioning improves efficiency. Regular collaboration with DevOps and security teams is crucial to maintain robust cloud architecture and compliance with data regulations. Staying updated with GCP releases and best practices will also help proactively address evolving challenges.

What is the difference between Data Engineer Gcp Data Engineer vs Data Engineer?

AspectData Engineer Gcp Data EngineerData Engineer
CertificationsGCP certifications (e.g., Professional Data Engineer)Varies; often includes cloud or database certifications
Work EnvironmentPrimarily cloud-based, focusing on Google Cloud Platform toolsCan be cloud, on-premises, or hybrid environments
Industry UsageCommon in organizations leveraging Google Cloud servicesWidespread across industries using various cloud providers
Skills FocusGCP tools, BigQuery, Dataflow, Pub/SubSQL, ETL, data modeling, general cloud skills

In summary, Data Engineer Gcp Data Engineer specializes in Google Cloud Platform tools and certifications, focusing on cloud-native data solutions. Data Engineer is a broader role that may work across multiple platforms and environments, with a wider range of tools and technologies.

What are popular job titles related to Data Engineer Gcp Data Engineer jobs in Rancho Cucamonga, CA?

For Data Engineer Gcp Data Engineer jobs in Rancho Cucamonga, CA, the most frequently searched job titles are:

What job categories do people searching Data Engineer Gcp Data Engineer jobs in Rancho Cucamonga, CA look for?

The top searched job categories for Data Engineer Gcp Data Engineer jobs in Rancho Cucamonga, CA are:

What cities near Rancho Cucamonga, CA are hiring for Data Engineer Gcp Data Engineer jobs?

Cities near Rancho Cucamonga, CA with the most Data Engineer Gcp Data Engineer job openings:

Infographic showing various Data Engineer Gcp Data Engineer job openings in Rancho Cucamonga, CA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $132,559 per year, or $63.7 per hour.

Data Engineer

City Of Industry, CA

$115K - $138K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 29 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.