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Data Engineer Jobs in California (NOW HIRING)

Data Engineer

Irvine, CA · On-site

$120K - $150K/yr

Data Engineer We are seeking project based Platform Engineering delivery support with strong, hands on technical depth in the following areas: • Databricks advanced Spark, performance tuning ...

Data Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...

Data Engineer

Rancho Cordova, CA · On-site

$122K - $146K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring ...

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring ...

Data Engineer

San Diego, CA · On-site

$61K - $141K/yr

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 than ever ...

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...

Data Engineer The Cloud services group is looking for world class engineers to join our technology innovation group focused on the rapid development of cloud based end-to-end mobile applications and ...

Data Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

Open Position - Data Engineer Horizon Surgical Systems Inc. Horizon Surgical Systems Inc. is revolutionizing the world of surgical ophthalmology by developing a novel, AI driven, and imaging-guided ...

Data Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

Open Position - Data Engineer Horizon Surgical Systems Inc. Horizon Surgical Systems Inc. is revolutionizing the world of surgical ophthalmology by developing a novel, AI driven, and imaging-guided ...

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring ...

Data Engineer

Palo Alto, CA · On-site

$134K - $161K/yr

Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...

Data Engineer

Sunnyvale, CA · On-site

$136K - $163K/yr

AI ML Data Engineer Location : Sunnyvale, CA (3 days work from office) Minimum 6 to 12 years of experience as data engineer in AI ML. * Snowflake and Python/Scala/Java * SQL, No SQL database, Hadoop ...

Data Engineer

Pasadena, CA · On-site

$124K - $150K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring ...

Data Engineer

Fremont, CA · On-site

$125K - $151K/yr

Info Way Solutions is seeking a Data Engineer. The role involves working on data engineering tasks, but specific responsibilities are not detailed in the provided description. Company : Founded and ...

Data Engineer

Sunnyvale, CA · On-site

$136K - $163K/yr

Data Engineer ( python, pyspark, scala, airflow) Location:Sunnyvale CA ( Hybrid ) Duration: 6 to 12+ Months Rate: DOE Bachelor or master's degree in computer science, Software Engineering, or a ...

Job Title Data Engineer Client Confidential Location Los Angeles, CA (5 days - Onsite) Type of Hire Long Term Contract Rate $60/hr. on W2 * Serve as developer of key DTC analytical models like ...

Data Engineer

Glendale, CA · On-site

$121K - $145K/yr

Data Engineer Job Location: Glendale, CA Job Type: Full-Time ● Contribute to maintaining, updating, and expanding existing Core Data platform data pipelines ● Build tools and services to support ...

Data Engineer

Fremont, CA · On-site

$125K - $151K/yr

Job Summary : Info Way Solutions is seeking a Data Engineer. The role involves working onsite in Fremont, CA, focusing on data engineering tasks and responsibilities. Company : Founded and ...

Data Engineer

Sunnyvale, CA · 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

Glendale, CA · On-site

$121K - $145K/yr

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 ...

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 Aug 12, 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 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.

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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. 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 and proficiency with tools like SQL, Python, and cloud platforms.
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, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $128,018 per year, or $61.5 per hour.

$120K - $150K/yr

Full-time

Re-posted 11 hours ago


Job description

Data Engineer
We are seeking project based Platform Engineering delivery support with strong, hands on technical depth in the following areas:
• Databricks advanced Spark, performance tuning, platform administration
• Airflow / Astronomer DAG design, enterprise orchestration, reliability
• Data Engineering pipeline design, data quality, scalability
• DevOps CI/CD, infrastructure as code, automation
• Platform Management stability, monitoring, and operational readiness
We expect contributors who can own technical delivery for defined scope and outcomes. Profiles may be onshore, nearshore, or offshore, but must be senior, deeply technical engineers capable of engaging with a highly technical engineering team.
Salary Range- $120,000-$150,000 a year