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Java Data Engineer Jobs in California (NOW HIRING)

Amiseq Inc.

Backend Java Engineer

Sunnyvale, CA · On-site

$60 - $78/hr

Role: - Backend Java Developer Location: Sunnyvale CA (2 days WFO) Type: - 12 months Contract with ... Good data structures and algorithm skills General high-level requirements: * Java * Data structures ...

Jobsbridge

Junior Java Software Engineer

Fresno, CA · On-site

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers/architects, we have them all. Responsibilities: Brokerage platform development -- front and/or back-end, ...

Jobsbridge

Java Big Data Engineer

Cupertino, CA

$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 ...

Reveille Technologies

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 ... Snowflake and Python/Scala/Java * SQL, No SQL database, Hadoop, Spark * ETL Tools, Informatica

Maayee Information Technology Pvt Ltd

Data Engineer

Tracy, CA · On-site

$123K - $148K/yr

Data Engineer Duties: Apply proven expertise and build high-performance, scalable data warehouse ... Java, PHP, SQL, CLI Keywords: Education: BS/MS in Computer Science or a related technical field ...

Info Way Solutions

Role : Data Engineer

Fremont, CA · On-site

$125K - $151K/yr

... Java etc) and querying languages (SQL, HiveQL, Spark SQL etc) Qualifications : Required : • ... data engineering and data technologies • Experience with data modelling, data warehousing and ...

OpenAI

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

... Java • Experience with distributed processing technologies and frameworks, such as Hadoop, Flink and distributed storage systems (e.g., HDFS, S3) • Expertise with any of ETL schedulers such as ...

Glow Networks

Data Engineer

Mountain View, CA · On-site

$135K - $162K/yr

Strong proficiency in programming languages such as Python, Java, or Scala, and experience with SQL. * Demonstrated experience with big data tools and frameworks such as Apache Spark, Hadoop or ...

Viasat, Inc.

Data Engineer

Carlsbad, CA · On-site +1

$174K - $261K/yr

Our mission is to enable our community of data scientists, analysts, and developers to derive ... Java, Scala, Python, C or C++. * Familiarity with RDBMS technologies (PostgreSQL, MySQL, Oracle ...

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 ... java/scala/kotlin, Cassandra, , Python, Hadoop, HDFS, Spark, MapReduce framework Good Scala ...

Viasat, Inc.

Data Engineer

Carlsbad, CA · On-site

$174K - $261K/yr

Our mission is to enable our community of data scientists, analysts, and developers to derive ... Java, Scala, Python, C or C++. * Familiarity with RDBMS technologies (PostgreSQL, MySQL, Oracle ...

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Java Data Engineer information

What is a Java data engineer?

A Java Data Engineer is a technology professional who designs, develops, and maintains data processing systems using Java programming language. They work with large datasets, build data pipelines, and ensure the efficient movement, transformation, and storage of data. Java Data Engineers often collaborate with data scientists, analysts, and other engineers to support data-driven decision-making in organizations. Their expertise typically includes Java, SQL, big data technologies like Hadoop or Spark, and cloud platforms. They play a crucial role in enabling reliable and scalable data infrastructure for businesses.

What are the key skills and qualifications needed to thrive as a Java data engineer?

To thrive as a Java Data Engineer, you need strong programming skills in Java, a solid understanding of data structures, SQL, and experience with big data frameworks, often supported by a degree in computer science or a related field. Familiarity with data processing tools like Apache Spark, Hadoop, Kafka, and experience with cloud data platforms (e.g., AWS, GCP) or relevant certifications are typically required. Analytical thinking, problem-solving ability, and effective communication are crucial soft skills for collaborating with teams and interpreting data requirements. These capabilities are essential for building reliable, scalable data solutions that support business intelligence and analytics needs.

What are the most common challenges faced by Java data engineers when working with large-scale data pipelines?

Java Data Engineers often encounter challenges with optimizing the performance and scalability of data pipelines, especially as data volumes grow. They must ensure data integrity and consistency while managing distributed systems and integrating with various data sources. Debugging issues in real-time data processing and maintaining efficient, fault-tolerant code are also key hurdles. Collaborating closely with data scientists, database administrators, and DevOps teams is essential to overcome these challenges and deliver reliable data solutions.

What is the difference between Java Data Engineer vs Python Data Engineer?

AspectJava Data EngineerPython Data Engineer
Required CredentialsBachelor's in Computer Science, Java certificationsBachelor's in Computer Science, Python certifications
Work EnvironmentBig data platforms, Java-based toolsData analysis, scripting, Python-based tools
Employer & Industry UsageFinancial services, enterprise systemsTech startups, data science projects
Common Search & ComparisonYesYes

Java Data Engineers and Python Data Engineers often share similar roles in data processing and engineering. The main difference lies in the programming languages used: Java is common in large-scale enterprise environments, while Python is favored for data analysis and scripting. Both roles require strong programming skills, but their toolsets and typical applications differ based on industry needs.

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

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

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

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

What cities in California are hiring for Java Data Engineer jobs?

Cities in California with the most Java Data Engineer job openings:

Java Data Engineer jobs near you
Infographic showing various Java Data Engineer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Software Engineer (C++/Java) - Data Platform

Wise Skulls

Sunnyvale, CA • On-site

$136K - $163K/yr

Contractor

Posted 7 days ago

Job description

Title: Software Engineer (C++/Java) - Data Platform
Location: Sunnyvale, CA or Austin, TX (Hybrid)
Duration: 6 months (possibility of extension)
Implementation Partner: Infosys
End Client: To be disclosed
JD:
  • Proficiency in one or more object-oriented programming languages such as Python, Java, C++ and experience building distributed systems
  • Skilled in communication, problem solving, strategic thinking
  • Bachelors in a quantitative field, such as Computer Science, Applied Mathematics, or Statistics, or equivalent professional experience
  • Experience building data processing pipelines and large scale machine learning platforms with experience in big data technologies like Spark, SQL, Snowflake/Hadoop, etc
  • Experience operationalizing distributed applications
  • Experience building full stack applications for big data analysis, feature extraction and annotations
  • experience building high throughput scalable applications or building machine learning models

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