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Java Data Engineer Jobs in San Jose, CA (NOW HIRING)

Comtech, LLC

Data Engineer

San Jose, CA · On-site

$134K - $161K/yr

Big Data experience * 8+ years exp in Java, Python and Scala * With Spark and Machine Learning ... Work closely with our engineering team to integrate and build algorithms * Process unstructured ...

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 ...

Mindsource Inc

Data Engineer (DataOps)

Cupertino, CA · On-site

$141K - $169K/yr

Data Engineer -- DataOps Location: Cupertino, CA (Hybrid) Duration: Long-term Type: Contract - W2 ... Expertise in Python (Java or Scala a plus) and technologies such as Airflow, Spark, Trino/Dremio ...

Apple

Senior Data Engineer

San Francisco, CA · On-site

$124K - $169K/yr

Java or Scala 5+ years experience with big data platforms Familiarity with ML/AI workflows and feature engineering to support analytics, reporting, and machine learning use cases Knowledge ...

Kaav Inc

Senior Data Engineer

San Francisco, CA · On-site

$124K - $169K/yr

Python, Java) * Strong understanding of SQL (e.g. Redshift, Snowflake, RDS) and NoSQL databases (e ... data engineering. * Strong problem-solving skills and a proactive approach to identifying and ...

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 ...

Hewlett Packard Enterprise

Cloud Data Engineer

San Jose, CA

$134K - $161K/yr

At least 4 years of work experience in relevant technologies Knowledge and Skills * 2+ years of programming experience in Python * 1+ years of programming experience in Java * Expertise in big data ...

Rhombus Power, Inc.

Data Engineer, Palo Alto

Palo Alto, CA · On-site

$110K - $180K/yr

Our Data Engineers work cross functionally with other departments to meet business needs. They ... Shell, PERL, Java, C/C++/C#, Scala, etc. * Experience with 1 or more of the following relational ...

Rhombus Power, Inc.

Data Engineer, Palo Alto

Palo Alto, CA · On-site

$110K - $180K/yr

Our Data Engineers work cross functionally with other departments to meet business needs. They ... Shell, PERL, Java, C/C++/C#, Scala, etc. * Experience with 1 or more of the following relational ...

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All JobsJava Data Engineer JobsJava Data Engineer Jobs in San Jose, CA

Java Data Engineer information

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How much do java data engineer jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for java data engineer in San Jose, CA is $70.82, according to ZipRecruiter salary data. Most workers in this role earn between $58.32 and $80.00 per hour, depending on experience, location, and employer.

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 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 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 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 popular job titles related to Java Data Engineer jobs in San Jose, CA? For Java Data Engineer jobs in San Jose, CA, the most frequently searched job titles are:
What job categories do people searching Java Data Engineer jobs in San Jose, CA look for? The top searched job categories for Java Data Engineer jobs in San Jose, CA are:
What cities near San Jose, CA are hiring for Java Data Engineer jobs? Cities near San Jose, CA with the most Java Data Engineer job openings:
Java Data Engineer jobs near you
Infographic showing various Java Data Engineer job openings in San Jose, CA as of August 2026, with employment types broken down into 38% Full Time, and 62% Contract. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $147,297 per year, or $70.8 per hour.

Sr. Data Engineer

Samsung Electronics America

Mountain View, CA • On-site

$136K - $163K/yr

Full-time

Re-posted 7 days ago

Samsung Electronics rating

6.7

Company rating: 6.7 out of 10

Based on 50 frontline employees who took The Breakroom Quiz

125th of 156 rated electronics manufacturers

Job description

Job Summary:
Samsung Electronics America is a global leader in technology, and they are seeking a Sr. Data Engineer to join their Samsung Ads team. The role involves contributing to foundational data systems that support performance advertising and working closely with cross-functional teams to deliver data solutions at scale.
Responsibilities:
• Contribute to scalable, high-performance data pipelines for ingestion, transformation, and analytics across large-scale advertising datasets
• Support development and optimization of data models for reporting, billing, and campaign delivery systems
• Participate in building and maintaining batch and real-time data processing workflows handling billions of events daily
• Help ensure data quality, completeness, and accuracy through automated validation frameworks and reconciliation checks
• Contribute to Snowflake optimization including query performance and cost-efficient data processing patterns
• Support workflow orchestration for multi-stage data pipelines
• Follow engineering standards for CI/CD pipelines, test coverage, and deployment quality gates
• Collaborate with cross-functional and cross-site teams to translate business requirements into technical solutions
• Participate in architecture and design reviews for data systems
• Learn and apply data engineering best practices and operational excellence
• Develop prototypes and contribute to proofs of concept
• Adopt AI-assisted development practices and GenAI tool adoption
Qualifications:
Required:
• Bachelor's or Master's degree in Computer Science, Data Science, Electrical Engineering, or a related field; or equivalent practical experience
• Programming experience in Python; GoLang and Java preferred; Scala nice to have
• Understanding of data technologies including Snowflake, Spark, and SQL
• Experience with or eagerness to learn streaming data systems such as Kafka, Flink, or Kinesis
• Familiarity with workflow orchestration tools (e.g., Airflow) or willingness to learn
• Understanding of data modeling and software engineering best practices
• Strong communication and collaboration skills with growth mindset
Preferred:
• Experience with cloud platforms, particularly Amazon Web Services (AWS)
• Background in digital advertising, programmatic systems, or ad measurement platforms
• Experience with containerization and orchestration (Kubernetes, Docker)
• Experience with data quality frameworks and automated validation pipelines
• Knowledge of statistical methods and data-driven performance analysis
• Experience with infrastructure-as-code and CI/CD automation
• Experience with large-scale reporting, data warehousing, or billing systems
Company:
Samsung Electronics America engages in high-tech electronics manufacturing and digital media. Founded in 1978, the company is headquartered in Ridgefield Park, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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