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Data Engineer Jobs in California (NOW HIRING)

Biztec Global LLC

Data Engineer

Glendale, CA · On-site

$121K - $145K/yr

As a Data Engineer, you will help build and maintain data solutions that enable analytics, reporting, and business decision-making across the organization. Working alongside data engineers ...

Pediatric Associates

Data Engineer

San Pedro, CA · On-site

$116K - $140K/yr

The Data Engineer is responsible for implementing reliable, scalable data pipelines that support enterprise-wide data needs. This role requires expertise in data analysis, data modeling, and the ...

AaraTechnologies Inc

DATA ENGINEER

California City, CA · On-site

$140K - $168K/yr

Data Engineer Banking (2-3 Years Experience) Company: AaraTech Inc About the Role AaraTech Inc is seeking a Data Engineer Banking to support data pipelines and analytics platforms for financial ...

Pediatric Associates

Data Engineer

San Pedro, CA · On-site

$116K - $140K/yr

The Data Engineer is responsible for implementing reliable, scalable data pipelines that support enterprise-wide data needs. This role requires expertise in data analysis, data modeling, and the ...

Maayee Information Technology Pvt Ltd

Data Engineer

Tracy, CA · 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 ...

Fincons US

Data Engineer

Los Angeles, CA · 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 ...

OpenAI

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

The Data Engineer will lead the development of data pipelines and core tables, collaborating with various teams to ensure data integration and compliance while supporting product growth and safety ...

Red Bull

Data Engineer

Santa Monica, CA · On-site +1

$128K - $154K/yr

The Data Engineer will play a pivotal role in transforming raw data into reliable, analytics-ready products that people actually use to make decisions, building and maintaining the pipelines ...

New

Bumble Bee Seafoods

Data Engineer

San Diego, CA · 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 ...

Commercial Bank of California

Data Engineer

Irvine, CA · 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 ...

Nastech Global

Data Engineer

Sunnyvale, CA · On-site

$134K - $161K/yr

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

Kanak Elite Services Inc

Data Engineer

Bay Point, CA · 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 ...

BUMBLE BEE FOODS, LLC

Data Engineer

San Diego, CA · 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 ...

Booz Allen Hamilton

Data Engineer

San Diego, CA · On-site

$61K - $141K/yr

R0244165 Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artifi cia l intelligence means that there's more structured and unstructured data available today ...

BUMBLE BEE FOODS, LLC

Data Engineer

San Diego, CA

$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 ...

Booz Allen Hamilton

Data Engineer

San Diego, CA · On-site

$62K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever ...

Apple

Data Engineer

Cupertino, CA · On-site

$141K - $169K/yr

The Data Engineering team within the MGC organization plays a critical role in supporting data-driven analytics by providing data collection, warehousing, and analytics at big data scale. Our team ...

Booz Allen Hamilton, Inc.

Data Engineer

San Diego, CA · On-site +1

$61K - $141K/yr

Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ...

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All JobsData Engineer JobsData Engineer Jobs in California

Data Engineer information

See California salary details

$43.9K

$128K

$175.2K

How much do data engineer jobs pay per year?

As of Jul 22, 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.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

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 does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
More about Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in California? The most popular types of Data Engineer jobs in California are:
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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:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in California as of July 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 100% In-person job distribution, with an average salary of $128,018 per year, or $61.5 per hour.

Data Engineer

Biztec Global LLC

Glendale, CA • On-site

$121K - $145K/yr

Other

Posted 7 days ago

Job description

As a Data Engineer, you will help build and maintain data solutions that enable analytics, reporting, and business decision-making across the organization. Working alongside data engineers, architects, product managers, and data consumers, you will develop reliable data pipelines, support data modeling efforts, and contribute to a scalable and efficient data platform. This role offers an opportunity to grow your technical expertise while working with modern cloud data technologies in a collaborative environment.

Key Responsibilities:

  • Develop and maintain data platform pipelines and data integration processes.
  • - Support the implementation of conceptual, logical, and physical data models.
  • - Build and maintain data transformations using dbt and contribute to scalable, reliable data solutions.
  • - Collaborate with data engineers, data scientists, analysts, and cross-functional teams to deliver data products.
  • - Apply data engineering concepts and technologies, including AWS services (S3, Lambda, SNS, SQS), Iceberg, Snowflake, dbt, and Airflow.
  • - Participate in Agile/Scrum ceremonies and contribute to team planning and continuous improvement efforts.
  • - Work with product managers, architects, and engineers to support the Core Data Platform roadmap.
  • - Follow established standards and best practices for data pipelines, naming conventions, and platform development.
  • - Monitor and support the quality, reliability, and operational health of data platform datasets and pipelines.
  • - Contribute to documentation of data assets, processes, and platform standards.
  • - Partner with stakeholders to understand business requirements and support delivery of data solutions.
  • - Maintain documentation to support data quality, governance, and operational requirements.

Qualifications:

  • 7-13 years of experience developing and supporting data pipelines.
  • - Understanding of data modeling concepts, including dimensional modeling and data normalization principles.
  • - Proficiency in at least one programming language commonly used in data engineering.

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