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Data Engineer Gcp Data Engineer Jobs in Rancho Cucamonga, CA

System Engineer- Enterprise Data Engineer

Redlands, CA · On-site

$107K - $133K/yr

Esri is a leading company in GIS technology, and they are seeking a Senior Enterprise Data Engineer to partner with customers on database design and implementation strategies. The role involves ...

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

Sr. Data Architect Specialist

Brea, CA · On-site

$69.25 - $92.75/hr

... Engineering to ensure governance is embedded in pipelines and systems. • Design how data flows ... GCP). • Strong understanding of data governance, metadata, and data quality principles. • ...

Showing results 21-40

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 10, 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 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 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 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 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.
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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, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $132,559 per year, or $63.7 per hour.

Sr. Data Engineer- Rancho Cucamonga, CA

latruck

Rancho Cucamonga, CA

$115K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago


Job description

Who We Are:

Crossroads Equipment Lease & Finance, LLC, is a wholly owned subsidiary of the Velocity Vehicle group, one of California’s largest commercial vehicle dealers. Established in 2006, and based in Rancho Cucamonga, California, Crossroads engages in the business of commercial medium and heavy-duty truck financing and leasing. We offer operating and finance leasing as well as direct financing to our commercial customers. Crossroads has experienced dynamic growth, expanding our portfolio and developing relationships with transportation companies that have locations outside the state of California, expanding our finance products to all states to service these customers.
What’s in it for You:

Crossroads is a fast paced and growing organization that is looking for candidates that are ready for a daily challenge and cannot wait to provide superior customer service both internally and externally. VVG offers fantastic Culture as well as competitive pay, 401K W/Match, Medical, Dental, & Vision benefits. 

What You’ll Do:

The Senior Data Engineer will drive the growth, productivity, and management of our organization by sourcing and delivering information critical for growth and operational efficiency. Using your technical acumen and business knowledge, you will identify cutting edge tools and best practices to design and develop data solutions that advance business goals across various teams including Sales, Credit, Finance, and Operations.

Job Duties:

  • Collaborate with various teams including Sales, Credit, Finance, and Operations to understand, prioritize, and deliver data and enhancement requests.
  • Work with management to determine data needs to create portfolio reporting for internal management and external funding partners.
  • Acquire data from primary and secondary sources and maintain data systems.
  • Drive the automation of reporting, analytics, and data collection processes.
  • Design, develop and implement databases and data collection systems, including data warehouse platform.
  • Create APIs to seamlessly integrate internal and external applications.
  • Act as a liaison between business end users and technology back end to bridge gaps in system functionality and reporting.
  • Collaborate with business users and vendors to define and manage system customizations.
  • Work with technology and business senior leadership to prioritize business and information needs.
  • Provide guidance and mentorship to other information technology team members.

Required Skills and Qualifications:

  • Minimum of 5 years of data engineering experience
  • Bachelor’s degree in Information Technology, Computer Science, or a related field, or equivalent practical experience
  • Demonstrated ability to define problems, collect data, and draw valid conclusions
  • Strong analytical skills to translate business needs into technical solutions
  • Experience auditing data inputs and outputs to ensure accuracy and validity
  • Ability to communicate effectively with both technical and non-technical stakeholders
  • Knowledge of enterprise applications and business processes
  • Commercial leasing and lending experience required
  • Expert-level proficiency with Microsoft SQL Server, SSRS, SSIS, and SSAS
  • Experience working with Azure Data Factory
  • Strong SQL query design, optimization, and performance tuning skills
  • Experience with relational databases and BI reporting tools
  • Experience with REST APIs and system integrations
  • Strong understanding of data design concepts and data management best practices
  • Experience automating data pipelines, reporting, and analytics processes
  • Strong experience with Python or similar programming languages.

Physical Requirements: 

  • Must be able to pass post-offer drug screening, physical examination and background check 

Compensation:

  • $115,000-$140,000 annual salary depending on skills and experience

Benefits Crossroads Offers:

  • Fantastic Culture
  • 401k + match
  • Health, Dental & Vision Insurance + HSA & FSA
  • Employer paid Life Insurance
  • Paid Vacation Days
  • Sick Leave
  • Company perks such as employee discounts, company events and training programs
  • Excellent Training and Career Advancement Opportunities

Crossroads Equipment Lease & Finance, LLC is an equal opportunity employer. Crossroads prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.