1

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

Data Engineer

San Bruno, CA · On-site

$136K - $164K/yr

... programming, software development or related2. 3+ years of ... solid Java and 2+ years experience in design, implementation, and support of solutions big data ...

Data Engineer III

Fremont, CA · On-site

$150 - $200/hr

Proficiency in languages SAS, Python, Java, and MatLab * ETL (Extract, Transform, and Load ... Proficient in programming languages and data management tools to provide actionable insights and ...

Data Engineer with Java & Scala

San Jose, CA · On-site

$134K - $161K/yr

... Data Engineer San Jose, CA 3 +(with possibility of extension) Big Data experience 8+ years exp in Java, Python and Scala With Spark and Machine Learning (3+) Data mining, Data analysis Data mining ...

Data Engineer

Redwood City, CA

$140K - $168K/yr

Data engineer /Big Data Location: Redwood City, CA Only Visa Independent Consultants (W2) * 10 or ... Demonstrated ability to write quality code in Java * Knowledge of Hadoop technologies, especially ...

Data Engineer

Redwood City, CA · On-site

$140K - $168K/yr

Data engineer /Big Data Location: Redwood City, CA Only Visa Independent Consultants (W2) * 10 or ... Demonstrated ability to write quality code in Java * Knowledge of Hadoop technologies, especially ...

Data Engineer

San Francisco, CA · On-site

$235K - $385K/yr

Proficiency in at least one programming language commonly used within Data Engineering, such as Python, Scala, or Java. * Experience with distributed processing technologies and frameworks, such as ...

Data Science / Data Engineer

San Jose, CA · On-site

$134K - $161K/yr

... data based software applications requiring programming in Java, JavaScript, creating and ... Qualifications Hadoop SQL NoSQL TB/PB Java javascript Additional Information Multiple Openings

Data Engineer, Apple Ads

Cupertino, CA · On-site

$200 - $250/hr

The Apple Ads engineering organization operates large-scale data systems that process and transform ... Develop production-quality software primarily using Java, Scala, and/or Python. * Design scalable ...

New

Data Engineer II

Sunnyvale, CA · On-site

$55 - $60/hr

Proficiency in programming languages such as Python, Java, or Scala. * Experience with data processing frameworks like Apache Spark or Hadoop. * Strong knowledge of SQL and database systems.

Cloud Data Engineer

San Jose, CA · On-site

$134K - $161K/yr

The Cloud Data Engineer will ensure the reliability, performance, and security of applications ... Java • Expertise in big data technologies such as Apache Spark or Kafka with at least 1 year of ...

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 ...

Software Data Engineer

Cupertino, CA · On-site

$200 - $250/hr

Strong proficiency in at least one programming language such as Python, Java, Go, or Scala * Understanding of data engineering fundamentals including data pipelines, batch processing, and real-time ...

Data Engineer - DataOps

Cupertino, CA · Hybrid

$141K - $169K/yr

Data EngineerAbout the Role We are seeking a capable, detail-minded Data Engineer with a strong ... Advanced proficiency in Python (Java or Scala is a plus), paired with hands-on experience using ...

Showing results 41-60

Java Data Engineer information

See San Jose, CA salary details

$31

$70

$100

How much do java data engineer jobs pay per hour?

As of Sep 9, 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 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 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:

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.

Data Engineer

San Bruno, CA • On-site

Redolent, Inc.
IT Services • 51 - 200 employees

$136K - $164K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Description:
Designs, develops, and implements Hadoop eco-system based applications to support business requirements. Follows approved life cycle methodologies, creates design documents, and performs program coding and testing. Resolves technical issues through debugging, research, and investigation. Experience/Skills Required:1. Bachelor s degree in Computer Science, Information Technology, or related field and 5 years experience in computer programming, software development or related2. 3+ years of solid Java and 2+ years experience in design, implementation, and support of solutions big data solution in Hadoop using Hive, Spark, Drill, Impala, HBase3. Hands on experience with Unix, Teradata and other relational databases. Experience with @Scale a plus.4. Strong communication and problem-solving skills

Redolent logo

About Redolent

Sourced by ZipRecruiter

Redolent, a dynamic and rapidly expanding company committed to excellence in software solutions, where success is fueled by a combination of technical expertise and efficient management practices. Our solutions create a measurable delta in our clients’ productivity and profitability, contributing to their growth and success.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

San Jose, CA, US

Year founded

2008

Social media