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Senior Big Data Engineer Jobs in California (NOW HIRING)

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 ...

Jobsbridge

Senior Big Data Software Engineer

Cupertino, CA · On-site

$68.75 - $91/hr

... or Programmer role using Java with a focus on backend/database, and Big Data solutions * Demonstrated skill across Spring, Hibernate, Eclipse, Lucene, Solr, SOAP, REST, and social media APIs

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 · On-site

$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 · On-site

$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

Sr. Big Data Architect

Sunnyvale, CA · On-site

$79 - $105.75/hr

Company Description Intelliswift Software, Inc Experience with architecting Big Data solutions Experience with data management concepts and fundamentals - Relational Databases, MPP, Metadata ...

Jobsbridge

Sr. Big Data Architect

Palo Alto, CA · On-site

$79 - $105.75/hr

Provide visionary leadership for projects related to Big Data technologies and software development support for client research projects The individual may manage some of these projects and/or ...

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 ...

Info Way Solutions

Big Data Engineer || 2 clients

Fremont, CA · On-site

$61.25 - $81/hr

Info Way Solutions LLC is seeking a Big Data Engineer to assist with a major initiative to migrate data from HDFS Apache Iceberg to AWS S3. The role involves rewriting existing jobs in Pyspark and ...

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 ...

Pyramid Consulting, Inc

Big Data Senior Developer

Sunnyvale, CA · On-site

$61.75 - $80.25/hr

Pyramid Consulting, Inc is seeking a talented Big Data Senior Developer with experience in the Telecom Industry. The role involves designing, developing, and implementing web-based Java applications ...

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Senior Big Data Engineer information

See California salary details

$15

$62

$87

How much do senior big data engineer jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for senior 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 is a senior big data engineer?

Senior Big Data Engineers are advanced-level professionals who design, build, and maintain large-scale data processing systems. They work with technologies such as Hadoop, Spark, and NoSQL databases to handle massive amounts of data efficiently. Their responsibilities often include optimizing data pipelines, ensuring data quality, and collaborating with data scientists and analysts to support business needs. Senior Big Data Engineers also mentor junior team members and help drive architectural decisions related to data infrastructure.

What skills and qualifications are needed to be a senior big data engineer?

To thrive as a Senior Big Data Engineer, you need advanced expertise in data architecture, distributed computing, and programming languages such as Java, Scala, or Python, typically backed by a degree in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, Kafka, and cloud platforms, as well as relevant certifications (e.g., Cloudera, AWS), is highly valuable. Strong problem-solving, communication, and leadership skills set outstanding candidates apart, especially when collaborating with cross-functional teams. These competencies are critical for designing scalable data solutions, ensuring data quality, and driving impactful business insights.

How does a senior big data engineer collaborate with data scientists and business stakeholders?

As a Senior Big Data Engineer, you'll frequently work alongside data scientists to design and maintain data pipelines that ensure reliable and accessible data for modeling and analytics. Collaboration with business stakeholders is also essential, as you'll help translate business requirements into technical data solutions, ensuring that data architecture supports organizational goals. Regular meetings, code reviews, and cross-team project planning are common, making strong communication and a collaborative mindset vital for success in this role.

What is the difference between Senior Big Data Engineer vs Data Architect?

AspectSenior Big Data EngineerData Architect
CredentialsBachelor's/Master's in CS, Data Science, or related; experience with Hadoop, SparkBachelor's/Master's in CS, Data Science, or related; certifications like TOGAF, cloud architecture
Work EnvironmentDevelops, implements, and maintains data pipelines and systemsDesigns overall data infrastructure and architecture strategy
Employer & Industry UsageTech companies, finance, healthcare, retailLarge enterprises, consulting firms, cloud providers
Search & Comparison IntentUnderstanding technical roles, skills, and responsibilitiesFocus on data system design and strategic planning

While both roles work with data systems, a Senior Big Data Engineer primarily develops and maintains data pipelines and systems, whereas a Data Architect designs the overarching data infrastructure and strategy. The roles often collaborate but differ in scope and focus within data management.

What are the most commonly searched types of Big Data Engineer jobs in California?

The most popular types of Big Data Engineer jobs in California are:

What are popular job titles related to Senior Big Data Engineer jobs in California?

For Senior Big Data Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Senior Big Data Engineer jobs in California look for?

The top searched job categories for Senior Big Data Engineer jobs in California are:

What cities in California are hiring for Senior Big Data Engineer jobs?

Cities in California with the most Senior Big Data Engineer job openings:

Senior Big Data Engineer jobs near you
Infographic showing various Senior Big 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 $129,285 per year, or $62.2 per hour.

Senior Big Data Developer

360 IT Professionals

Santa Clara, CA

Full-time

Re-posted 6 days ago

Job description

Company Description

We are focused on imparting effective business staffing services through high-level cost effective solutions. We have a strong foundation built on the legacy and emerging technologies, including an excellent track record of on-time delivery. We are leaders in providing additional custom IT Services with a proficient approach towards development of emerging mobile-based applications and web based application development. We are emerging as one of the largest private talent sourcing and management firms in the US.

Our client-  one of the leading ICT for development - ICT4D - organization, providing low-cost solutions using ICT to tackle poverty and to overcome disadvantage, working closely with local communities seeks an accomplished IT Security Leader.

Job Description

Job role                                               Senior Big Data Developer

Job Location:                                      Deerfield, IL 60015

Project Duration:                               Long-term and Fulltime

VISA:                                                  H1B Transfer, Citizen, GC.

Salary:                              Base Salary + Relocation expenses + Benefits  

 

Description:

 

Primary Responsibilities:

  • Work on tasks assigned by Technical Architects related to a proof-of-concept in the area of big data.
  • Many activities will involve implementation of a series of use cases for a given technology stack which includes: HDInsight, Azure Event Hub (or Kafka), Azure Data Factory (or Talend), HBASE, Hive, Pig, Sqoop and Flume.
  • Recommend, design and code efficient and effective solutions for challenging problems for large work efforts of medium to high complexity.
  • Collaborate with architects and developers and present alternative approaches to complex problems.
  • Document techniques/approaches, process flow diagrams and data models as required.

Required Skills:

  • Overall 5+ years of experience with at least 2+ years with big data.
  • 3+ years with Java, J2EE & databases like Oracle and/or SQL Server
  • 2+ years of experience in developing systems/applications with: Hadoop ecosystem including Hadoop (Hortonworks or Cloudera), Map Reduce Pig, Hive, Sqoop and Flume.
  • 1+ years of experience with Spark, Spark Streaming or Storm and Kafka.
  • Experience with any ETL tool.
  • Experience with troubleshooting performance issues, SQL tuning etc.
  • Experience with shell scripting using Unix, PERL or Python
  • Experience with NoSQL database technologies such as Cassandra or HBASE

Candidates preferred with experience in following platforms and technologies:

  • Microsoft Azure
  • Azure HDInsight or Hortonworks
  • Azure Data Factory or Talend
  • Azure Event Hub or Apache Kafka
  • Cassandra and HBASE.
Additional Information

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

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