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Data Engineer Jobs in California (NOW HIRING)

Data Engineer

Cupertino, CA ยท Hybrid

$52 - $67/hr

This role combines traditional data engineering responsibilities with infrastructure-focused work to support deployment, monitoring, and automation of data services. Responsibilities: โ€ข Build and ...

Data Engineer

Palo Alto, CA ยท On-site

$134K - $161K/yr

Role Summary We are seeking an experienced Data Engineer Lead to join our onshore team and drive the design, development, and optimization of enterprise data solutions using Microsoft Azure and ...

Data Engineer

Irvine, CA ยท On-site

$122K - $147K/yr

Data Engineer Location: Irvine, CA Job Type: Full-Time Opportunity Job Summary We are seeking a highly skilled Data Engineer with strong platform engineering and data pipeline expertise to support ...

Data Engineer

Palo Alto, CA ยท On-site

$134K - $162K/yr

Data Engineer Lead Palo Alto, CA (Onsite) Role Summary We are seeking an experienced Data Engineer Lead to join our onshore team and drive the design, development, and optimization of enterprise data ...

Data Engineer

San Francisco, CA

$134K - $162K/yr

Data Engineer Candidate must be in SFO, CA Long term contract - JD Summary: 10+ years of experience in Data Engineering, Integrations, Data Modeling, Data Profiling, Data Quality, Orchestration Hands ...

Data Engineer

Palo Alto, CA ยท On-site

$134K - $162K/yr

Role Summary We are seeking an experienced Data Engineer Lead to join our onshore team and drive the design, development, and optimization of enterprise data solutions using Microsoft Azure and ...

Data Engineer

San Francisco, CA ยท On-site

$134K - $162K/yr

Data Engineer Location: San Francisco, CA Required Clearance : Secret Salary: Competitive We are looking for a skilled Data Engineer with a strong focus on AI and machine learning to join our dynamic ...

Data Engineer

Santa Clara, CA ยท On-site

$133K - $160K/yr

Data Engineer We are seeking a highly skilled Data Engineer to join our team, focusing on building, maintaining, and optimizing our data infrastructure. As a Data Engineer, you will develop data ...

Data Engineer

Tracy, CA ยท On-site

$123K - $148K/yr

Data Engineer Duties: Apply proven expertise and build high-performance, scalable data warehouse application Securely source external data from numerous global partners Intelligently design data ...

Data Engineer

Santa Clara, CA ยท On-site

$133K - $160K/yr

Data Engineer Rootshell Enterprise Technologies Inc. is a recognized provider of professional IT Consulting services in the US. We are actively seeking a Data Engineer for one of our clients.

Data Engineer

Sunnyvale, CA ยท On-site

$134K - $161K/yr

Data Engineer(SQl, Python) Location: Sunnyvale, CA (onsite) Job Type: full time Must Have Technical/Functional Skills โ€ข 8+ years of professional experience in data engineering or backend data ...

Data Engineer

Los Angeles, CA ยท On-site

$123K - $148K/yr

Fincons US is seeking a Data Engineer to join our growing engineering team. We are looking for someone with strong Python and database experience who enjoys building scalable data pipelines, backend ...

Data Engineer

Irvine, CA ยท On-site

$150K - $170K/yr

Data Engineer Location: Irvine, CA Job Type: Full-Time | Exempt | Hybrid Eligible Salary Range: $150,000 - $170,000 per year About Commercial Bank of California Commercial Bank of California (CBC) is ...

Data Engineer

San Diego, CA ยท On-site

$122K - $130K/yr

The Data Engineer at Bumble Bee Seafoods is responsible for designing, building, and operating the enterprise data platform that powers analytics, reporting, and advanced data use cases across the ...

Data Engineer

San Diego, CA ยท On-site

$122K - $130K/yr

The Data Engineer at Bumble Bee Seafoods is responsible for designing, building, and operating the enterprise data platform that powers analytics, reporting, and advanced data use cases across the ...

Data Engineer

San Diego, CA ยท On-site

$122K - $130K/yr

The Data Engineer at Bumble Bee Seafoods is responsible for designing, building, and operating the enterprise data platform that powers analytics, reporting, and advanced data use cases across the ...

Data Engineer

Glendale, CA

$121K - $145K/yr

Senior Data Engineer ๐Ÿš€ ๐Ÿ“ Glendale, CA -- Onsite 4 Days/Week ๐Ÿ“Œ Local Candidates Only ๐Ÿ“Œ W2 Opportunity Only We're seeking an experienced Senior Data Engineer to help build and scale our ...

Data Engineer

Bay Point, CA ยท On-site

$125K - $151K/yr

Databricks Data Engineer Location: [Bay Area, CA] Duration : 12+ Months Need experience with Databricks Job Summary: We are seeking a skilled Data Engineer with hands-on Databricks experience to ...

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Showing results 1-20

Data Engineer information

See California salary details

$43.9K

$128K

$175.2K

How much do data engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for data engineer in California is $128,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $135,700.00 per year, depending on experience, location, and employer.

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 are the most commonly searched types of Data Engineer jobs in California? The most popular types of Data Engineer jobs in California are:
What job categories do people searching Data Engineer jobs in California look for? The top searched job categories for Data Engineer jobs in California are:
What cities in California are hiring for Data Engineer jobs? Cities in California with the most Data Engineer job openings:
What are popular job titles related to Data Engineer jobs in CA? For Data Engineer jobs in CA, the most frequently searched job titles are:
Infographic showing various Data Engineer job openings in California as of June 2026, with employment types broken down into 100% Full Time. Highlights an 58% In-person, 25% Hybrid, and 17% Remote job distribution, with an average salary of $128,018 per year, or $61.5 per hour.
Data Engineer

Data Engineer

OSI Engineering, Inc.

Cupertino, CA โ€ข Hybrid

$52 - $67/hr

Other

Posted 27 days ago


Job description

A globally leading consumer device company headquartered in Cupertino, CA is seeking aย Data Engineerย with strong data pipeline development skills and hands-on experience managing containerized workflows in Kubernetes and Docker. This role combines traditional data engineering responsibilities with infrastructure-focused work to support deployment, monitoring, and automation of data services.
Responsibilities:
โ€ขย ย  ย Build and maintain scalable ELT pipelines using SQL and Python
โ€ขย ย  ย Deploy, manage, and monitor containerized data workflows in Kubernetes and Docker
โ€ขย ย  ย Collaborate cross-functionally to deliver reliable and well-documented data solutions
โ€ขย ย  ย Implement automation and monitoring to improve system performance and reliability
โ€ขย ย  ย Support urgent reporting requests and ad-hoc data analysis needs
Key Requirements:
โ€ขย ย  ย 2โ€“5 years of experience in Data Engineering, Software Engineering, or Analytics
โ€ขย ย  ย Strong SQL and Python skills with comfort working in Bash/Shell
โ€ขย ย  ย Hands-on experience with Spark, Airflow, Snowflake, DBT, and AWS S3
โ€ขย ย  ย Strong Kubernetes and Docker experience, including deploying, managing, and troubleshooting workflows
โ€ขย ย  ย Familiarity with DevOps practices including CI/CD, monitoring, and automation (AWS preferred)
โ€ขย ย  ย Ability to bridge both data engineering and infrastructure responsibilities
โ€ขย ย  ย Solid understanding of data modeling, warehousing, and big data ecosystems
โ€ขย ย  ย MS or equivalent experience preferred
Type:ย Contract
Duration:ย 12 months with extension
Work Location:ย Cupertino, CA (hybrid)
Pay range:ย $52.00 - $67.00 ph (DOE)