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Data Engineers Jobs in California (NOW HIRING)

AWS Data Engineers

San Jose, CA · On-site

$134K - $161K/yr

Overview: AWS Data Engineers Location- San Jose /Costa Mesa CA Experience- 3-6 Years * 4-6 years of work experience - hands on and good coding skills, preferably with Java, Scala or Python * Data ...

Data Engineer

Glendale, CA · On-site

$121K - $145K/yr

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 Engineer, Palo Alto

Palo Alto, CA · On-site

$110K - $180K/yr

Our Data Engineers work cross functionally with other departments to meet business needs. They utilize their skills at all stages of the analytics pipeline to create results that drive business ...

Data Ops Engineer

San Diego, CA · On-site

$121K - $146K/yr

You'll partner closely with data engineers, platform engineers, and analytics teams to deliver trustworthy, low-latency data that supports operational decisions. This position is on-site in San Diego ...

Data Engineer

Sunnyvale, CA · On-site

$134K - $161K/yr

... software engineers. • Own and improve data quality, validation, and governance processes. • Monitor data pipelines and proactively address performance and reliability issues. • Mentor and ...

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

We are seeking experienced Data Engineers with strong expertise in Google Cloud Platform (Google Cloud Platform) to design, develop, and maintain scalable data pipelines and modern cloud-based data ...

Data Engineer

Glendale, CA · On-site

$121K - $145K/yr

... data engineers and cross-functional teams ● Tech stack includes Airflow, Spark, Databricks, Delta Lake, Kubernetes and AWS ● Collaborate with product managers, architects, and other engineers to ...

You will develop a team of data engineers, translate business priorities into technical plans, and ensure the delivery of reliable, scalable, and well-governed data solutions. * The ideal candidate ...

Lead and manage data engineers to build data solutions for our business intelligence needs * Lead a cross-functional team in building a state-of-the-art data analytics platform * Collaborate with ...

Data Engineering Manager

Pasadena, CA · On-site +1

$172K - $206K/yr

Lead and manage data engineers to build data solutions for our business intelligence needs * Lead a cross-functional team in building a state-of-the-art data analytics platform * Collaborate with ...

Data Reliability Engineer

San Diego, CA · On-site +1

$200K - $240K/yr

You'll partner closely with data engineers, platform engineers, and analytics teams to deliver trustworthy, low-latency data that supports operational decisions. This position is on-site in San Diego ...

You will develop a team of data engineers, translate business priorities into technical plans, and ensure the delivery of reliable, scalable, and well-governed data solutions. * The ideal candidate ...

Sr. AWS Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

... data engineers and enforce engineering excellence Required Skills & Experience • 8+ years in data engineering with 3+ years in a leadership/lead role • Strong hands-on experience with: AWS ...

Big Data Engineer

San Jose, CA · On-site

$65.25 - $86.50/hr

You will collaborate with Data Engineers, Data Scientists, and Software Engineers to build reliable data pipelines and support advanced analytics initiatives. Key Responsibilities * Design, build ...

Lead and mentor a team of data engineers, fostering a culture of collaboration and continuous learning Qualifications Required: * 8+ years of experience in data engineering, with a focus on Big Data ...

Manager - Data Engineering

Alhambra, CA · On-site +1

$140K - $160K/yr

Lead and mentor a team of data engineers, fostering a culture of continuous learning, innovation, and operational excellence. * Partner with cross-functional teams to design and implement scalable ...

Data Reliability Engineer

San Diego, CA · On-site

$200K - $240K/yr

You'll partner closely with data engineers, platform engineers, and analytics teams to deliver trustworthy, low-latency data that supports operational decisions. This position is on-site in San Diego ...

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Showing results 1-20

Data Engineers information

See California salary details

$43.9K

$128K

$175.2K

How much do data engineers jobs pay per year?

As of Jul 31, 2026, the average yearly pay for data engineers 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 high paying job?

Data engineers typically earn high salaries due to their specialized skills in designing and maintaining data pipelines, working with tools like SQL, Python, and cloud platforms. Compensation varies by experience, location, and industry, but overall, it is considered a well-paying role in the tech field.

Is AI replacing data engineers?

AI is transforming the role of data engineers by automating routine tasks such as data cleaning and integration, but it does not replace the need for skilled professionals to design, build, and maintain data infrastructure. Data engineers are essential for managing complex data pipelines, ensuring data quality, and implementing scalable solutions using tools like SQL, Python, and cloud platforms. Their expertise remains critical in developing and overseeing AI systems and analytics workflows.

What does a data engineer actually do?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, store, and process 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 engineers make 500,000?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn salaries of $500,000 or more, especially in high-cost living areas or within large tech companies. Achieving this level often requires specialized certifications, leadership roles, and a strong track record of managing complex data infrastructure.

How do Data Engineers typically collaborate with Data Scientists and other team members on data-driven projects?

Data Engineers play a crucial role in enabling data-driven projects by designing, building, and maintaining the data infrastructure that Data Scientists and analysts rely on. They often work closely with Data Scientists to understand their data requirements, ensure data quality, and optimize data pipelines for efficient analysis. Collaboration involves frequent communication to align on data formats, data availability, and performance needs, as well as troubleshooting issues that may arise with data ingestion or transformation. This teamwork ensures that data is accessible, reliable, and actionable, which is essential for successful analytical and machine learning initiatives.

What is the difference between Data Engineers vs Data Analysts?

AspectData EngineersData Analysts
Required CredentialsBachelor's in Computer Science, Engineering, or related field; often certifications in cloud platforms or data engineering toolsBachelor's in Statistics, Mathematics, or related field; certifications in data analysis or visualization tools
Work EnvironmentBuild and maintain data pipelines, work with big data technologies, often in cloud environmentsAnalyze data, create reports and dashboards, work with business teams
Employer & Industry UsageTech companies, finance, healthcare, e-commerce; focus on data infrastructureMarketing, finance, retail, healthcare; focus on data insights for decision-making

Data Engineers focus on developing and maintaining data infrastructure, while Data Analysts interpret data to provide actionable insights. Both roles are essential but serve different functions within data teams.

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 strong skills in programming (especially Python, Java, or Scala), database management, data modeling, and typically a degree in computer science or a related field. Familiarity with big data tools like Hadoop, Spark, SQL/NoSQL databases, and cloud platforms (AWS, Azure, or GCP) as well as relevant certifications are common technical requirements. Excellent problem-solving, attention to detail, and effective communication are soft skills that help Data Engineers excel in collaborative and fast-paced environments. These skills are crucial for ensuring robust, scalable, and efficient data pipelines that support reliable analytics and business decision-making.

What are Data Engineers?

Data Engineers are professionals who design, build, and maintain systems that collect, store, and process large amounts of data. Their primary role is to ensure that data is accessible, reliable, and efficiently structured for analysis by data scientists and other stakeholders. They work with various tools and technologies to create pipelines that move and transform data from multiple sources, making it usable for business intelligence and analytics. Data Engineers also focus on optimizing data workflows to ensure scalability and performance.
What job categories do people searching Data Engineers jobs in California look for? The top searched job categories for Data Engineers jobs in California are:
What cities in California are hiring for Data Engineers jobs? Cities in California with the most Data Engineers job openings:
Infographic showing various Data Engineers job openings in California as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $128,018 per year, or $61.5 per hour.

$134K - $161K/yr

Full-time

Re-posted 27 days ago


Job description

Overview:
AWS Data Engineers
Location- San Jose /Costa Mesa CA
Experience- 3-6 Years
  • 4-6 years of work experience - hands on and good coding skills, preferably with Java, Scala or Python
  • Data Structures, Algorithm
  • Java/Scala, SQL, Python
  • Spark, Hive, Presto
  • Airflow (Preferred)
  • AWS ( S3, EMR), Databricks

Skills:
AWS,Data Engineering