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Data Engineer Jobs in California (NOW HIRING)

Data Engineer

Irvine, CA ยท On-site

$175K/yr

... Engineer. This is an opportunity for someone who loves building scalable data foundations, owning analytics strategy, and partnering directly with business leaders to turn complex data into ...

New

Data Engineer

Aliso Viejo, CA ยท On-site

$50 - $55/hr

Strong expertise in cloud-based data engineering. * Experience with ETL/ELT development. * Proficiency in big data technologies. * Experience working in healthcare environments. Responsibilities:

Data Engineer

Foster City, CA ยท On-site

$133K - $160K/yr

AV Safety Data Engineer (Contract) The Safety Strategy & Operations team is responsible for developing and implementing safety processes from comprehensive safety planning and risk management to ...

Data Engineer

San Francisco, CA ยท On-site

$120K - $133K/yr

Lead Data Engineer (GCP, Supply Chain & AI Data Platforms) Role Overview We are seeking an experienced and hands-on Lead Data Engineer to join our Enterprise Data & AI Organization. In this role, you ...

Data Engineer

Sunnyvale, CA ยท On-site

$136K - $163K/yr

Job Title: Data Engineer Location: Sunnyvale, CA. Direct Client: Req. Key Qualifications: * Data Engineer (TERMINUS) * 3+ years of hands-on Data Warehousing and Data Engineering experience.

Data Engineer

Foster City, CA ยท On-site

$133K - $160K/yr

AV Safety Data Engineer (Contract) The Safety Strategy & Operations team is responsible for developing and implementing safety processes from comprehensive safety planning and risk management to ...

Data Engineer

Fremont, CA ยท On-site

$125K - $151K/yr

Info Way Solutions is a company seeking a Data Engineer with significant experience. The role involves utilizing skills in SQL and Python within the banking or finance domain. Qualifications

Data Engineer

San Francisco, CA ยท On-site

$134K - $162K/yr

About the Role As a Data Engineer, you will be an early member of the Data Science & Analytics team building the foundation to scale analytics across our organization. You will collaborate with key ...

Data Engineer

Mountain View, CA ยท On-site

$135K - $162K/yr

Data Engineer Location: Mountain View, CA (Hybrid 3days onsite, 2 days remote) Responsibilities: * Design, develop, and maintain scalable and reliable data pipelines to support the growing data needs ...

Data Engineer

Santa Clara, CA ยท On-site

$134K - $161K/yr

Data Engineer - Key Requirements: Proven hands-on expertise in data engineering with Snowflake and Databricks, including building and optimizing large-scale data pipelines. Strong understanding of ...

Data Engineer, Data Platform About the Role We are building out our Data Platform team at Sigma, with a relentless focus on developing data models that fuel trusted insights across the company. As a ...

Data Engineer

Foster City, CA ยท On-site

$133K - $160K/yr

AV Safety Data Engineer (Contract) The Safety Strategy Operations team is responsible for developing and implementing safety processes from comprehensive safety planning and risk management to ...

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Data Engineer

Irvine, CA ยท On-site

$100K - $115K/yr

Data Engineer with a client at Irvine, CA Contract to hire. Position Summary The Engineer, Data Intelligence & Business Analytics designs, develops, and supports scalable data integration and ...

Data Engineer

Sunnyvale, CA ยท On-site

$150K - $450K/yr

The Role As a Data Engineer specializing in Natural Language Processing (NLP) and large-scale data processing, you will quickly and effectively gather, curate, and prepare high-quality datasets to ...

Data Engineer

San Francisco, CA ยท On-site

$134K - $162K/yr

Factory is bringing autonomy to software engineering, and they're hiring a Data Engineer to own the systems that power how we understand and operate the business. You'll architect and evolve the full ...

Data Engineer

San Francisco, CA ยท On-site

$134K - $162K/yr

Factory is bringing autonomy to software engineering, and they are seeking a Data Engineer to own the systems that power how they understand and operate the business. The role involves architecting ...

Showing results 41-60

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.

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 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

Harnham

Irvine, CA โ€ข On-site

$175K/yr

Other

Posted 3 days ago

New


Job description

Senior Analytics Engineer | Costa Mesa, CA (Onsite)


I'm partnering with an innovative company at the intersection of advanced technology, AI, and mission-critical operations to hire a Senior Analytics Engineer.


This is an opportunity for someone who loves building scalable data foundations, owning analytics strategy, and partnering directly with business leaders to turn complex data into actionable insights.

  • 5+ years in Analytics Engineering, Data Engineering, or Analytics-focused roles
  • Expert-level SQL and strong Python experience
  • Hands-on experience with dbt, Redshift, Looker/Tableau, or similar modern data stack tools
  • Proven ability to build scalable data models and analytics solutions
  • Comfortable partnering with senior stakeholders and driving business impact
  • Experience owning data pipelines, data modeling, and analytics infrastructure


What makes this role unique:

High visibility and ownership across the organization

Opportunity to shape analytics strategy and data architecture

Work on complex, large-scale data challenges

Fast-paced environment focused on innovation and impact

Strong compensation package with room for growth


Location: Costa Mesa, CA (100% onsite)

Compensation: Up to $175,000 base + bonus/equity

Must be local to Southern California (no relocation available)

U.S. Citizens or Green Card holders only


Given the specificity of the requirements, I'm especially interested in connecting with Analytics Engineers, Data Engineers, and Senior BI professionals who have strong data modeling expertise and enjoy operating as strategic partners to the business.


If this sounds like you, or you know someone who could be a fit, feel free to DM me directly for a confidential conversation.


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