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Big Data Analytics Jobs in California (NOW HIRING)

This role is expected to provide architectural guidance to the analytics team as it builds and evolves a Big Data Platform, and as analytics solutions are instantiated on top of the platform. The ...

Predictive analytics experience is a PLUS Requirements: * Past work experience on h/w, s/w configs ... Oracle Big Data Appliance, Cloudera Hadoop * Expertise in Architecting, Administering, Developing ...

Apache Hadoop Cluster Apache Hive Big Data Analytics e-Commerce PayPal eBay Amazon Pig Hive Spark MapReduce Oozie Sqoop Impala Cassandra NoSQL*** o 7 - 10 years+ of Architect level experience with ...

This role is expected to provide architectural guidance to the analytics team as it builds and evolves a Big Data Platform, and as analytics solutions are instantiated on top of the platform. The ...

Design big data platform API; Provide guidance and mentor developers in the data analytics team; Skills: Required In-depth knowledge on the Hadoop stack (Map reduce, HDFS, Hive, Pig, Zookeeper)

This role is expected to provide architectural guidance to the analytics team as it builds and evolves a Big Data Platform, and as analytics solutions are instantiated on top of the platform. The ...

This role is expected to provide architectural guidance to the analytics team as it builds and evolves a Big Data Platform, and as analytics solutions are instantiated on top of the platform. The ...

Java Big Data Engineer

Cupertino, CA

$68.75 - $91/hr

... Big Data Analytics. Strong database fundamentals including SQL, performance and schema design. Strong programming skills in Java Strong experience designing and building REST style web services ...

Java Big Data Engineer

Cupertino, CA · On-site

$68.75 - $91/hr

... Big Data Analytics. Strong database fundamentals including SQL, performance and schema design. Strong programming skills in Java Strong experience designing and building REST style web services ...

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 ... Strong analytical, problem-solving, and communication skills. Preferred Skills * Apache Spark

Big Data

Sunnyvale, CA · On-site

$62.25 - $80.75/hr

Must have experience working on Big Data Processing Frameworks and Tools - MapReduce, YARN, Hive, Pig. * Strong understanding of RDBMS concepts and must have good knowledge of writing SQL and ...

Strong experience in Big Data, NoSQL Databases. * Strong Experience in Mongo DB, Storm, HDFS, Hive ... Analysis and understanding of upstream and downstream data needs for analytics. * Ability to work ...

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 ...

Strong experience in Big Data, NoSQL Databases. * Strong Experience in Mongo DB, Storm, HDFS, Hive ... Analysis and understanding of upstream and downstream data needs for analytics. * Ability to work ...

Strong experience in Big Data, NoSQL Databases. * Strong Experience in Mongo DB, Storm, HDFS, Hive ... Analysis and understanding of upstream and downstream data needs for analytics. * Ability to work ...

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers/architects, we have them all. 8+ years of experience. Design, develop and implement big data solutions on ...

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Big Data Analytics information

See California salary details

$56

$58

$59

How much do big data analytics jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for big data analytics in California is $58.46, according to ZipRecruiter salary data. Most workers in this role earn between $57.88 and $59.09 per hour, depending on experience, location, and employer.

What does a big data analytics professional do?

A Big Data Analytics professional typically spends their day collecting, cleaning, and organizing large datasets, designing and running data models, and interpreting trends to generate actionable insights for business stakeholders. They may collaborate closely with data engineers, data scientists, and business analysts to ensure data quality and relevance. Regular tasks also include creating data visualizations, preparing reports, and presenting findings to both technical and non-technical teams. Working in this field often involves keeping up-to-date with new technologies and methods to optimize and streamline analytics processes.

What are the key skills and qualifications needed for big data analytics?

To excel in Big Data Analytics, professionals need strong analytical abilities, proficiency in data modeling, statistics, and a solid foundation in computer science or mathematics, often supported by a relevant degree. Experience with tools like Hadoop, Spark, SQL, and familiarity with programming languages such as Python or R—as well as certifications in big data technologies—are highly valued. Critical thinking, effective communication, and problem-solving skills help in translating complex data into actionable business insights. These capabilities are crucial for handling large datasets, deriving meaningful conclusions, and supporting organizational decision-making.

What is a big data analytics?

A Big Data Analytics job involves analyzing large and complex datasets to extract meaningful insights, trends, and patterns that help businesses make data-driven decisions. Professionals in this field use tools like Hadoop, Spark, SQL, and machine learning algorithms to process and interpret data. Responsibilities may include data mining, predictive modeling, and creating visualizations to communicate findings effectively. These roles are in high demand across industries like finance, healthcare, e-commerce, and technology. Strong analytical skills, programming knowledge, and an understanding of data infrastructure are essential for success in this field.

Is big data analytics a good career?

Big Data Analytics is a growing field with high demand for professionals skilled in data analysis, programming, and tools like Hadoop and Spark. It offers competitive salaries, opportunities for advancement, and requires continuous learning to keep up with evolving technologies.
What are the most commonly searched types of Big Data Analytics jobs in California? The most popular types of Big Data Analytics jobs in California are:
What cities in California are hiring for Big Data Analytics jobs? Cities in California with the most Big Data Analytics job openings:
Infographic showing various Big Data Analytics job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,596 per year, or $58.5 per hour.

Data analytics Architect

Motocol

San Jose, CA

Full-time

Re-posted 27 days ago


Job description

Company Description

Motocol is recruiting for our client

Job Description

Our client is seeking a senior software architect with at least 8 years of experience in designing scalable, distributed systems to join the Data Analytics Team. This role is expected to provide architectural guidance to the analytics team as it builds and evolves a Big Data Platform, and as analytics solutions are instantiated on top of the platform. The architect is expected to be self-driven, take charge in identifying and fixing problems, and excel in a fast changing, growing environment.

Qualifications

Responsibilities:

Collaborate with business analysts and data scientists in eliciting and articulating solution requirements;


Design scalable data analytics platform and solutions;


Make architectural decisions for the data analytics platform and solutions;


Assess, benchmark and select data analytics technologies to be added to the big data platform;


Support development lead in determining architecturally significant requirements for data analytics solutions;


Design big data platform API;


Provide guidance and mentor developers in the data analytics team

Required Experience: 10+ years


Mandatory Skills:


In-depth knowledge on the Hadoop stack (Map reduce, HDFS, Hive, Pig, Zookeeper);

Experience with Business Intelligence frameworks and ETL tools;

Proficiency in the Java programming language;

Proficiency in the Unified Modeling Language;

Experience with RDBMS and SQL;

Experience architecting systems following the REST architectural style;

Experience with machine learning methods and libraries (e.g. Weka, Mahout, Sci-kit);

Practical experience with the Scala programming language (desirable);

Practical experience with the Play web framework (desirable);

High-level knowledge on the Spark eco-system;

B.Sc. degree in Computer Science, Engineering, Mathematics, Statistics or related field is required

Additional Information

All your information will be kept confidential according to EEO guidelines.

Location: San Jose, CA.

Salary Range: $ 115,000 - $ 145,000

H1B candidates, please apply

Type of Employment: Exempt

No travel required