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Big Data Engineer Jobs in California (NOW HIRING)

Aivra Health LLC

Big Data Engineer

San Jose, CA · On-site

$65.25 - $86.50/hr

Big Data Engineer Location: San Jose, CA, USA (Hybrid/Remote) Job Type: Full-Time About the Role We are seeking a highly skilled Big Data Engineer to design, develop, and maintain scalable big data ...

Bright Vision Technologies

Big Data Engineer

Sunnyvale, CA · Remote

$90K - $110K/yr

Big Data Engineer - Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This ...

Lorven Technologies

Big Data Engineer

Costa Mesa, CA · On-site

$59.75 - $79/hr

Big Data Engineer Costa Mesa , CA or PHX or Bay Area Contract Job Responsibilities 10+ years of experience in analysis, coding, implementation and testing of Big Data Applications (API & Batch) on ...

Jobsbridge

Big Data Engineer

Los Angeles, CA · On-site

$60 - $79.50/hr

Company Description Intelliswift Software, Inc As a Big Data Engineer, you will be an integral member of our threat intelligence service, i.e. auto focus, team responsible for architecture, design ...

SP Software Solutions

Big Data Engineer

Mountain View, CA · On-site

$65.75 - $87/hr

... Big Data & Java etc. * Work with business partners directly to seek clarity on requirements ... Electrical Engineering, Information Systems or other technical discipline; advanced degree ...

SP Software Solutions

Big Data Engineer

Mountain View, CA

$65.75 - $87/hr

... Big Data & Java etc. * Work with business partners directly to seek clarity on requirements ... Expertise in Object Oriented Programming Language - Java / Python. Experience using CI/CD Process ...

Jobsbridge

Big Data Engineer

San Diego, CA

$59.25 - $78.25/hr

Company Description Jobsbridge Key Qualifications: 4+ years of experience in Big Data, Business Intelligence and Data Warehousing environment 1+ years of experience in Hadoop/HBase systems 2+ years ...

Cygnus Professionals, Inc.

Big Data Engineer

Palo Alto, CA · On-site

$65.50 - $86.75/hr

Role: Big Data Engineer w/Spark Location: Palo Alto, CA Duration: Potential Contract to Hire Mode of Interview: Skype After Phone !! Need Green Card OR US Citizen OR EAD GC Candidates Only

Jobsbridge

Java Big Data Engineer

Cupertino, CA · On-site

$68.75 - $91/hr

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers/architects, we have them all. Proficiency with Big Data processing technologies (Hadoop, Hive, Spark ...

Jobsbridge

Java Big Data Engineer

Cupertino, CA · On-site

$68.75 - $91/hr

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers/architects, we have them all. Proficiency with Big Data processing technologies (Hadoop, Hive, Spark ...

Jobsbridge

Big Data Developer

Glendale, CA

$56.25 - $72.75/hr

Skill Big Data Developer Java Hadoop DaaS Java Hadoop / Hive / MapReduce / Pig / Sqoop / Flume SQL XML JSO Location Glendale, CA Total Experience 3 yrs. Max Salary Not Mentioned Employment Type ...

Sonsoft Inc

Big Data

Sunnyvale, CA

$62.25 - $80.75/hr

Must have strong programming knowledge of Core Java or Scala - Objects & Classes, Data Types ... Must have experience working on Big Data Processing Frameworks and Tools - MapReduce, YARN, Hive ...

Cypress HCM

Data Engineer

Mountain View, CA

$70 - $95/hr

Looking for world class server software engineers with Big Data Infrastructure and Data warehousing experience to join our technology innovation group focused on the rapid development of AI driven ...

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Big Data Engineer information

See California salary details

$15

$62

$87

How much do big data engineer jobs pay per hour?

As of Aug 1, 2026, the average hourly pay for big data engineer in California is $62.16, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $70.00 per hour, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior Big Data Engineers with extensive experience, advanced skills in tools like Hadoop, Spark, and cloud platforms, and often certifications can earn $300,000 or more annually. Compensation varies by industry, location, and company size, with some roles in finance, technology, and consulting reaching this level for highly specialized professionals.

Can I make 200k as a data engineer?

Big Data Engineers with extensive experience, advanced skills in tools like Spark and Hadoop, and certifications can potentially earn salaries of $200,000 or more, especially in high-cost-of-living areas or senior roles. Salary levels depend on factors such as location, industry, company size, and individual expertise.

What does a Big Data Engineer do?

A Big Data Engineer designs, builds, and manages systems that process and store large volumes of data. They develop data pipelines, integrate data from various sources, and ensure that the infrastructure is scalable, reliable, and efficient. Their work enables organizations to analyze and derive insights from massive datasets, supporting decision-making and business intelligence. Big Data Engineers often work with technologies like Hadoop, Spark, and cloud platforms.

What are the key skills and qualifications needed to thrive as a Big Data Engineer, and why are they important?

To thrive as a Big Data Engineer, you need strong programming skills (often in Python, Java, or Scala), experience with data modeling, and a solid understanding of distributed computing and database systems, typically supported by a degree in computer science or a related field. Familiarity with big data tools and platforms like Hadoop, Spark, Kafka, and relevant cloud services, as well as certifications such as Cloudera or AWS Big Data, is also important. Analytical thinking, problem-solving ability, and effective communication are key soft skills that help bridge technical solutions with business needs. These skills are crucial for designing scalable data pipelines, ensuring efficient data processing, and delivering actionable insights that drive organizational success.

What do big data engineers do?

Big Data Engineers design, build, and maintain large-scale data processing systems and pipelines using tools like Hadoop, Spark, and Kafka. They ensure data is collected, stored, and processed efficiently to support analytics and business insights, often working with cloud platforms and scripting languages such as Python or Scala.

What are some common challenges Big Data Engineers face when working with large-scale data pipelines?

Big Data Engineers often encounter challenges related to optimizing data pipelines for scalability and reliability, especially as data volume and velocity increase. Issues like managing data consistency, handling schema changes, and ensuring low-latency data processing are frequent hurdles. Collaborating closely with data scientists and DevOps teams is crucial, as projects often require integrating diverse data sources and maintaining high data quality standards. Staying up-to-date with evolving big data technologies and best practices is essential to address these ongoing challenges effectively.

What engineers make $500,000?

Senior Big Data Engineers with extensive experience, advanced skills in tools like Hadoop and Spark, and often certifications can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Compensation typically includes base salary, bonuses, and stock options, reflecting their expertise and leadership roles in data infrastructure projects.
More about Big Data Engineer jobs
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What job categories do people searching Big Data Engineer jobs in California look for? The top searched job categories for Big Data Engineer jobs in California are:
What cities in California are hiring for Big Data Engineer jobs? Cities in California with the most Big Data Engineer job openings:
What are popular job titles related to Big Data Engineer jobs in CA? For Big Data Engineer jobs in CA, the most frequently searched job titles are:
Big Data Engineer jobs near you
Infographic showing various Big Data Engineer job openings in California as of July 2026, with employment types broken down into 2% As Needed, 69% Full Time, 25% Part Time, 1% Temporary, and 3% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $129,285 per year, or $62.2 per hour.

Big Data Engineer

Indotronix International Corporation

Costa Mesa, CA • On-site

$59.75 - $79/hr

Contractor

Re-posted 10 days ago

Job description

Big Data Engineer | Costa Mesa, California, United States Big Data Engineer (Mid-Level) - Remote | Experian | 12+ Month Contract About the Role Join Experian as a Big Data Engineer and drive the development, optimization, and support of scalable, high-performance data platforms in the AWS Cloud. Leverage your expertise to build robust data pipelines and API-driven microservices powering mission-critical systems. This is a fully remote, long-term contract offering you autonomy and technical growth on innovative projects. Responsibilities - Design, build, and maintain large-scale batch and real-time data pipelines using Spark, Hadoop, and AWS EMR - Develop, deploy, and optimize API-based microservices leveraging Java, Scala, and AWS API Gateway - Implement data ingestion, transformation, and automation workflows with PySpark, Snowflake, and Airflow - Tune and scale data processing systems for maximum performance and reliability - Collaborate cross-functionally to deliver high-quality, production-ready solutions in a cloud-first environment - Troubleshoot and resolve complex issues in Linux-based environments using shell scripting and Python - Ensure best practices in code versioning and CI/CD processes for continuous integration and delivery Required Skills and Experience - 7+ years designing, developing, and testing Big Data solutions (batch and APIs) - Deep hands-on AWS experience: EMR, EC2, ECS, S3, Step Functions, API Gateway, Airflow - Proficiency in Scala, PySpark, Java (REST APIs, SOAP web services) - Strong knowledge of Hadoop, HDFS, Spark, MapReduce, and Cassandra - Experience with performance tuning in Spark, Hadoop, and EMR environments - Solid Linux administration skills with shell scripting and Python automation - Proven track record building data pipelines and transformations in Snowflake using Spark Preferred Skills - Familiarity with DevOps tooling: GitHub, GitLab, Bitbucket, IntelliJ, PyCharm - Experience with CI/CD: Maven, Gradle, Jenkins, Artifactory, AWS CodeCommit, CloudFormation Benefits - Fully remote work environment - collaborate from anywhere in the U.S. - Work with cutting-edge AWS and Big Data tools - Opportunity to own challenging, high-impact projects - Long-term contract with potential for future engagement - Expand your expertise with a global leader in data-driven solutions How to Apply Ready to shape the future of data engineering at Experian? Submit your resume today to take the next step in your Big Data engineering career!
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About Indotronix

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US

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