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

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 ...

Data Engineer, People Innovation Labs

San Francisco, CA · On-site

$134K - $162K/yr

They are seeking a Data Engineer to build data-intensive systems that will power People Innovation ... Java. • Experience with data warehousing technologies such as Databricks and Snowflake, and ...

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 ...

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 ...

Strong programming skills in Python, Scala, or Java * Hands-on experience with data modeling, ETL processes, and real-time data processing * Knowledge of data governance, security, and compliance ...

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 ...

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 ...

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 ...

Data Engineer

San Francisco, CA · On-site

$132K - $206K/yr

Python or Java * 5+ years dimensional and relational data modeling experience * Experience with SQL and database management Preferred * 5+ years in data warehouse engineering (OLAP) Snowflake ...

Data Engineer

San Francisco, CA · Hybrid

$132K - $206K/yr

Python or Java * 5+ years dimensional and relational data modeling experience * Experience with SQL and database management Preferred * 5+ years in data warehouse engineering (OLAP) Snowflake ...

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 ...

Showing results 41-60

Java Data Engineer information

See Fremont, CA salary details

$29

$66

$93

How much do java data engineer jobs pay per hour?

As of Aug 11, 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 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 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:

Staff Data Engineer

Samsung Electronics America

Mountain View, CA • On-site

Full-time

Re-posted 28 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 leading innovator in advertising technology, seeking a talented Staff Data Engineer to enhance their platform’s performance advertising capabilities. This role involves collaborating with cross-functional teams to design, implement, and optimize attribution models, ensuring accurate measurement of marketing campaign effectiveness.
Responsibilities:
• Develop and implement advanced data solutions supporting billing, reporting and any other systems within the team’s scope.
• Collaborate with data scientists, product managers, and other engineers to refine and improve data processes.
• Design and maintain scalable and optimized data pipelines for efficient collection, processing, and storage of data.
• Work closely with stakeholders to understand and translate business requirements into technical solutions.
• Conduct A/B testing and performance analysis to validate and iterate on data processes.
• Stay updated on industry trends and emerging technologies related to data engineer and ad tech.
Qualifications:
Required:
• Bachelor’s or master’s in computer science, Data Science, or a related field.
• Requires at least 8 years of related experience and a bachelor’s degree; or 6 years and a master's degree; or a PhD with 3 years
• Proven experience in delivering data engineering solutions in ad tech industry.
• Strong programming skills in Python, Java, and Scala.
• Experience in working with Kubernetes and stream data processing frameworks (Flink, Apache Ignite)
• Proficient in working with big data technologies and databases (e.g., Hadoop, Spark, SQL, and MapReduce).
• Hands-on experience with orchestration tools like Airflow or similar
• Solid understanding of statistical concepts and experience with relevant tools.
• Excellent problem-solving and communication skills.
Preferred:
• Experience with RESTful API.
• Experience with Golang
• Familiarity with real-time data processing and streaming technologies.
• Knowledge of end-to-end digital advertising ecosystems and industry standards.
• Knowledge of Snowflake and related technologies
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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