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Java Data Engineer Jobs in Fremont, CA (NOW HIRING)

Socket.dev

Software Data Engineer

Cupertino, CA · On-site

$150 - $200/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 ...

Redolent, Inc.

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 ...

Jobtailor

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 ...

Comtech, LLC

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 ...

Simarn Solutions, LLC

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 ...

Simarn Solutions, LLC

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 ...

OpenAI

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 ...

Jobsbridge

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

Apple Inc.

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

PTR Global

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.

Hewlett Packard Enterprise

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 ...

Comtech, LLC

Data Engineer

San Jose, CA

$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 ...

Apple Inc.

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 ...

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All JobsJava Data Engineer JobsJava Data Engineer Jobs in Fremont, CA

Java Data Engineer information

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$29

$66

$93

How much do java data engineer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for java data engineer in Fremont, CA is $66.14, according to ZipRecruiter salary data. Most workers in this role earn between $54.47 and $74.71 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 are popular job titles related to Java Data Engineer jobs in Fremont, CA?

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

What job categories do people searching Java Data Engineer jobs in Fremont, CA look for?

The top searched job categories for Java Data Engineer jobs in Fremont, CA are:

What cities near Fremont, CA are hiring for Java Data Engineer jobs?

Cities near Fremont, CA with the most Java Data Engineer job openings:

Java Data Engineer jobs near you
Infographic showing various Java Data Engineer job openings in Fremont, CA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $137,579 per year, or $66.1 per hour.

Software Data Engineer

Cupertino, CA • On-site

Socket.dev
Network Security • 1 - 10 employees
Learn more about Socket.devexternal

$150 - $200/hr

Other

Posted 21 days ago

Key responsibilities

  • Design and build core platform capabilities that support analytics pipelines used across Apple.

  • Collaborate with engineers to develop scalable backend services, integrate big data technologies, and create developer tools and automation systems.

  • Help shape and improve data engineering infrastructure to enhance efficiency, productivity, and data quality at Apple scale.

Job description

Join Apple's Analytics Platforms & Experiences (APX) team as a Software Engineer and be part of a team that is redefining what modern data engineering looks like. APX is part of Apple Services Engineering — the engine that powers App Store, Apple TV+, Apple Music, Apple Podcasts, Apple Books, Fitness+, the iTunes Store, and more. We build the frameworks, tools, and platform solutions that unlock observability, deliver actionable insights, and enable data quality-driven orchestration at massive scale. Our work drives real, measurable gains in efficiency and productivity across some of Apple's most critical services. As a member of the Data Engineering Platform (DEP) team — the foundational layer of our platform — you will help build scalable backend services and developer tools that make it easier for teams across Apple to build and operate analytics pipelines efficiently. If you are passionate about data engineering, eager to grow, and excited about making a real impact at Apple scale — this is the role for you.

Description

As part of the Data Engineering Platform (DEP) team, you will help design and build the core platform capabilities that teams across Apple rely on every day. You will collaborate closely with experienced engineers, contribute to scalable backend services that integrate big data technologies with microservices, and help shape intuitive developer tools and automation systems that reduce friction and drive productivity. This is a great opportunity for an engineer who wants to grow fast, work on hard problems, and do the best work of their life at Apple.

Minimum Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or a related technical field3+ years of software engineering experience, with a solid foundation in building and shipping production-quality code
  • 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 streaming
  • Hands-on experience designing and building backend services and APIs
  • Working knowledge of distributed systems and big data technologies such as Spark, Kafka, or Hadoop
  • Exposure to AI-driven development practices with a genuine enthusiasm for leveraging AI tools to improve engineering productivity and code quality
  • A curious, self-driven mindset with a strong interest in how AI is shaping the future of software and data engineering
  • Strong problem-solving ability with a collaborative approach to working across teams
  • Clear and concise communicator who can translate technical concepts for diverse audiences
Preferred Qualifications
  • Hands-on experience with big data technologies such as Apache Spark, Kafka, Flink, or Airflow
  • Some exposure to microservices architecture and cloud platforms such as AWS, GCP, or Azure
  • Familiarity with data orchestration frameworks and pipeline management tools such such as Airflow or Prefect
  • Basic experience with containerization tools such as Docker and Kubernetes
  • Awareness of data quality, observability, and monitoring concepts in data pipelines
  • Some exposure to developer tooling, internal platforms, or automation scripting
  • Ability to ramp up quickly, take ownership of tasks, and contribute meaningfully in a collaborative team environment
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