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Data Engineer Jobs in California (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Syntricate Technologies

Data engineer

San Francisco, CA · On-site

$134K - $162K/yr

Syntricate Technologies is seeking a Data Engineer for a contract position. The role involves working with SQL and Snowflake, as well as understanding data pipelines and documentation of data ...

Tilly's

Data Engineer

Irvine, CA · On-site

$122K - $147K/yr

Data Engineer Location: Irvine, CA (On-site) Department: Information Technology | Reports To: Lead Software Architect Schedule: Full-Time | Minimum 4 Days In-Office FLSA Status: Exempt Who We Are At ...

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 ...

Vagaro

Data Engineer

Pleasanton, CA · On-site

$135K - $150K/yr

As a Data Engineer at Vagaro, you will play a critical role in designing and maintaining scalable data architectures on the Microsoft Fabric platform. You will lead the design and optimization of ETL ...

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 ...

Booz Allen Hamilton

Data Engineer

San Diego, CA · On-site

$61K - $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 ...

Booz Allen Hamilton

Data Engineer

San Diego, CA · On-site

$61K - $141K/yr

R0247987 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 ...

Vagaro

Data Engineer

Pleasanton, CA · On-site

$135K - $150K/yr

As a Data Engineer at Vagaro, you will play a critical role in designing and maintaining scalable data architectures on the Microsoft Fabric platform. You will lead the design and optimization of ETL ...

Booz Allen Hamilton, Inc.

Data Engineer

San Diego, CA · On-site

$61K - $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 ...

Booz Allen Hamilton

Data Engineer

San Diego, CA · On-site

$61K - $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 ...

Booz Allen Hamilton, Inc.

Data Engineer

San Diego, CA · On-site

$61K - $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 ...

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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 Sep 2, 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 a data engineer?

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.

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.

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 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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
More about Data Engineer jobs

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The most popular types of Data Engineer jobs in California are:

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For Data Engineer jobs in California, the most frequently searched job titles are:

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The top searched job categories for Data Engineer jobs in California are:

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Cities in California with the most Data Engineer job openings:

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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 August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $128,018 per year, or $61.5 per hour.

DATA ENGINEER

AaraTechnologies Inc

California City, CA • On-site

$140K - $168K/yr

Other

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

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 systems. This role focuses on ingesting, transforming, and validating banking and transaction data. You will collaborate with analytics teams to support reporting and compliance needs. Ideal for early-career data professionals.

Key Responsibilities
  • Support ETL / ELT data pipelines
  • Write SQL queries and basic Python scripts
  • Assist with data ingestion and transformation
  • Perform data quality checks
  • Support data warehouse activities
  • Collaborate with BI teams
  • Maintain technical documentation
Required Qualifications
  • 2-3 years of experience in data engineering or analytics
  • Strong SQL skills
  • Basic Python knowledge
  • Understanding of ETL concepts
  • Exposure to cloud platforms
  • Analytical mindset
  • Good communication skills
Skills

SQL, Python Basics, Data Engineering Fundamentals, ETL / ELT Pipelines, Banking & Financial Data, Transaction Data Processing, Data Warehousing Concepts, AWS Basics, Data Quality, Data Validation, Compliance Awareness, Documentation, Collaboration with BI Teams

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