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Cloud Data Engineer Jobs in California (NOW HIRING)

Hewlett Packard Enterprise

Cloud Data Engineer

San Jose, CA · On-site

$134K - $161K/yr

The Cloud Data Engineer will ensure the reliability, performance, and security of applications while collaborating with data scientists to design, build, and maintain data pipelines and services.

Hewlett Packard Enterprise

Cloud Data Engineer

San Jose, CA

$134K - $161K/yr

Cloud Data Engineer This role has been designed as ''Onsite' with an expectation that you will primarily work from an HPE office. Who We Are: Hewlett Packard Enterprise is the global edge-to-cloud ...

Redwood Credit Union

Cloud Data Engineer

Napa, CA

$115K - $151K/yr

Redwood Credit Union is looking for a Cloud Data Engineer, responsibilities include designing, implementing, and managing data solutions on Microsoft Azure and other cloud platforms. Oversee the ...

Redwood Credit Union

Cloud Data Engineer

Santa Rosa, CA

$115K - $151K/yr

Redwood Credit Union is looking for a Cloud Data Engineer, responsibilities include designing, implementing, and managing data solutions on Microsoft Azure and other cloud platforms. Oversee the ...

Redwood Credit Union

Cloud Data Engineer

Napa, CA

$115K - $151K/yr

Redwood Credit Union is looking for a Cloud Data Engineer, responsibilities include designing, implementing, and managing data solutions on Microsoft Azure and other cloud platforms. Oversee the ...

Redwood Credit Union

Cloud Data Engineer

Santa Rosa, CA · On-site

$115K - $151K/yr

Redwood Credit Union is looking for a Cloud Data Engineer, responsibilities include designing, implementing, and managing data solutions on Microsoft Azure and other cloud platforms. Oversee the ...

Redwood Credit Union

Cloud Data Engineer

Santa Rosa, CA · On-site

$115K - $151K/yr

Redwood Credit Union is looking for a Cloud Data Engineer, responsibilities include designing, implementing, and managing data solutions on Microsoft Azure and other cloud platforms. Oversee the ...

AaraTechnologies Inc

DATA ENGINEER

San Francisco, CA · On-site

$134K - $162K/yr

Data Engineer Healthcare (1 2 Years Experience) Company: AaraTech Inc About the Role AaraTech Inc ... Exposure to AWS or cloud data platforms * Strong analytical and problem-solving skills Why Join ...

Cloud BC Labs

AWS Data Engineer

Alameda, CA · On-site

$129K - $155K/yr

Proven experience in leading data engineering projects and mentoring junior Cloud BC Labs Inc is a digital transformation organization aimed at creating seamless solutions for clients to effectively ...

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Cloud Data Engineer information

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How much do cloud data engineer jobs pay per hour?

As of Aug 3, 2026, the average hourly pay for cloud data engineer in California is $62.06, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $70.67 per hour, depending on experience, location, and employer.

What are some common challenges a Cloud Data Engineer faces when migrating data to the cloud?

Cloud Data Engineers often encounter challenges such as ensuring data security and compliance during migration, optimizing data pipelines for cloud performance, and managing data integrity across distributed systems. They must work closely with cross-functional teams to minimize downtime and avoid data loss, and frequently address issues related to data format compatibility and legacy system integration. Staying up-to-date with evolving cloud technologies and best practices is also essential for successful data migration projects.

What is the difference between Cloud Data Engineer vs Data Analyst?

AspectCloud Data EngineerData Analyst
Required CredentialsCloud certifications (e.g., AWS, Azure), SQL, programming skillsData analysis certifications, SQL, Excel, visualization tools
Work EnvironmentCloud platforms, big data tools, data pipelinesData visualization, reporting, business insights
Employer & Industry UsageTech companies, finance, healthcare, cloud service providersMarketing, finance, retail, business intelligence

While Cloud Data Engineers focus on building and maintaining cloud-based data infrastructure, Data Analysts interpret data to provide business insights. Both roles require SQL skills, but Cloud Data Engineers emphasize cloud platforms and data pipeline development, whereas Data Analysts focus on data visualization and reporting.

What are the key skills and qualifications needed to thrive as a Cloud Data Engineer, and why are they important?

To excel as a Cloud Data Engineer, you need strong expertise in data modeling, ETL processes, programming languages like Python or SQL, and a solid understanding of cloud platforms such as AWS, Azure, or Google Cloud, often supported by a relevant degree and cloud certifications. Familiarity with tools like Apache Spark, Hadoop, cloud storage systems, and data pipeline orchestration frameworks is typically required. Strong problem-solving skills, attention to detail, and effective communication help you deliver scalable solutions and collaborate with cross-functional teams. These competencies are essential for building robust, secure, and efficient data infrastructure that supports business intelligence and analytics.

What is a Cloud Data Engineer?

A Cloud Data Engineer is an IT professional who designs, builds, and manages scalable data infrastructure and pipelines in cloud environments. They work with cloud platforms like AWS, Google Cloud, or Azure to create systems that collect, process, store, and analyze large volumes of data. Their responsibilities include setting up data lakes and warehouses, ensuring data quality and security, and enabling data-driven applications. Cloud Data Engineers collaborate with data scientists, analysts, and other stakeholders to support business intelligence and analytics initiatives.
What are the most commonly searched types of Cloud Data Engineer jobs in California? The most popular types of Cloud Data Engineer jobs in California are:
What are popular job titles related to Cloud Data Engineer jobs in California? For Cloud Data Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Cloud Data Engineer jobs in California look for? The top searched job categories for Cloud Data Engineer jobs in California are:
What cities in California are hiring for Cloud Data Engineer jobs? Cities in California with the most Cloud Data Engineer job openings:
Cloud Data Engineer jobs near you
Infographic showing various Cloud Data Engineer job openings in California as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $129,089 per year, or $62.1 per hour.

Cloud Data Engineer

Hewlett Packard Enterprise

San Jose, CA • On-site

$134K - $161K/yr

Full-time

Re-posted 5 days ago

Hewlett Packard Enterprise rating

8.4

Company rating: 8.4 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

36th of 156 rated electronics manufacturers

Job description

Job Summary:
Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. The Cloud Data Engineer will ensure the reliability, performance, and security of applications while collaborating with data scientists to design, build, and maintain data pipelines and services.
Responsibilities:
• Application design and development in streaming or batch mode over Kafka and Spark
• Building RAG pipelines and Agents/Tools
• Evaluate and implement new technologies and tools to improve efficiency and reduce cost
• Analyze and validate telemetry data, learn error patterns and produce views that show network problem conditions and patterns
• Work with a team of data scientists, domain experts, architects and other engineers to increase the accuracy of AI outcomes in our device management product
• Build CI/CD pipelines
• Work with SMEs and data scientists to increase accuracy of actionable insights
Qualifications:
Required:
• Degree in Computer Science, Information Systems, or equivalent
• Master's with 2 years of data engineering experience
• At least 4 years of work experience in relevant technologies
• 2+ years of programming experience in Python
• 1+ years of programming experience in Java
• Expertise in big data technologies such as Apache Spark or Kafka with at least 1 year of relevant experience
• Experience with developing Generative-AI and Agentic AI based applications with at least 1 year of relevant experience
• Experience with managing and analyzing large data sets
• Experience with containerization and orchestration tools such as Kubernetes and Airflow with at least 1 year of relevant experience
• Experience developing applications in Cloud computing environments with at least 2 years of relevant experience
Preferred:
• Good understanding of WiFi Wireless Networking, Switching and Routing concepts
• Experience in one or more deployment tools such as Airflow or ArgoCD
Company:
Hewlett Packard Enterprise is an edge-to-cloud company that uses comprehensive solutions to accelerate business outcomes. Founded in 1939, the company is headquartered in Spring, USA, with a team of 10001+ employees. The company is currently Late Stage.

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