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Java Data Engineer Jobs in California (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

Sunnyvale, CA · On-site

$136K - $163K/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

Foster City, CA · Hybrid

$133K - $160K/yr

As a Senior Consultant Data Engineer , you'll join our Value Added Services - Digital Marketing ... Expertise in Java, with experience in REST APIs, container-based technologies, and implementing ...

Lead Data Engineer

San Francisco, CA

$134K - $162K/yr

Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake * Share your passion for ...

Lead Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake * Share your passion for ...

SR. Data Engineer

San Diego, CA · On-site +1

$121K - $146K/yr

Senior Data Engineer Cupertino, CA or Austin, TX Onsite role Must have strong Python and SQL and ... Expertise in languages like Python, Java, or Scala and technologies like Airflow, Spark, Trino ...

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 ...

Azure Data Engineer

Santa Clara, CA · On-site

$133K - $160K/yr

Azure Data Engineer As a Data Engineer on the Data Science and Platform team, you will: * Develop ... Experience in Java * Experience building APIs and services using REST

Data Engineer

San Francisco, CA · On-site

$230K - $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 Engineer, Staff

San Diego, CA · On-site

$121K - $146K/yr

... Java, Python). • 3+ years of work experience with SQL or NoSQL Databases. • 3+ years of work ... Develop reusable data engineering frameworks, libraries, and templates for ingestion ...

Data Engineer with Java & Scala

San Jose, CA

$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 Science / Data Engineer

San Jose, CA

$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 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.

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 ... Hadoop, HBase, Elastic Search, etc. 2+ years experience with Java Passion for doing research on ...

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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 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, and why are they important?

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 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:
Infographic showing various Java Data Engineer job openings in California as of June 2026, with employment types broken down into 76% Full Time, and 24% Contract. Highlights an 84% In-person, and 16% Remote job distribution.
Data Engineer

Data Engineer

Redolent, Inc.

San Bruno, CA • On-site

$136K - $164K/yr

Full-time

Posted 6 hours ago


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

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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

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