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Java Data Engineer Jobs in California (NOW HIRING)

Data Engineer

Menlo Park, CA · On-site

$134K - $162K/yr

Responsibilities Leverage tools like SQL, Hadoop, R, PHP, Python, Oracle, Java, and Excel to drive ... data extraction from mySQL/oracle/hive leveraging an extremely large data set Focus on collecting ...

Data Engineer

Cupertino, CA · On-site

$141K - $169K/yr

Bachelor's in computer science, engineering, or related fieldsExperience with Python (or Scala/Java or related) for building production data pipelinesExperience building production data pipelines (ET ...

Data Engineer

Palo Alto, CA

$134K - $161K/yr

Preferred experience includes familiarity with additional programming languages such as Java, Scala, or Go; experience integrating data from multiple enterprise source systems into a central SQL ...

Data Engineer

San Diego, CA

$121K - $146K/yr

Preferred experience includes familiarity with additional programming languages such as Java, Scala, or Go; experience integrating data from multiple enterprise source systems into a central SQL ...

Data Engineer

Los Angeles, CA

$123K - $148K/yr

Preferred experience includes familiarity with additional programming languages such as Java, Scala, or Go; experience integrating data from multiple enterprise source systems into a central SQL ...

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Preferred experience includes familiarity with additional programming languages such as Java, Scala, or Go; experience integrating data from multiple enterprise source systems into a central SQL ...

Data Engineer

Cupertino, CA · On-site

$126K - $220K/yr

The Data Engineering team within the MGC organization plays a critical role in supporting data ... systems in Java/Python or similar languages Proficient in SQL Experience with data warehouse ...

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

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 ...

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 ...

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 ...

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 ...

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 · 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

$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 ...

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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 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 2% As Needed, 57% Full Time, 34% Part Time, and 7% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.

Data Engineer

Sumeru Solutions

Menlo Park, CA • On-site

$134K - $162K/yr

Contractor

Posted 12 days ago


Job description

Company Description

Sumeru has been in the IT Business for more than a decade. Clients across 22 countries turn to us for their Web Application Services, Information Security and Business Process Management needs. We are Microsoft Gold Certified partners and also an ISO 270001 certified company. 

Job Description

Responsibilities

Leverage tools like SQL, Hadoop, R, PHP, Python, Oracle, Java, and Excel to drive efficient analytics and reporting or performing data extraction from mySQL/oracle/hive leveraging an extremely large data set

Focus on collecting, parsing, managing, analyzing and visualizing large sets of data to turn information into insights using multiple platforms

Work with internal technical operations teams to define metrics, automate data collection, synthesize relevant data, build analytical models and forecasts

Create and manage failure and/or trend analysis

Create and/or assist in the development of tools or data dashboards that drive efficiency

Requirements

BA/BS degree

Strong in statistics fundamentals, set theory and relational algebra

Experience of 4+ years of programming (C++, JAVA, PHP, PERL, PYTHON etc.)

Proficiency in SQL is required

Demonstrated problem solving ability with experience providing practical business insights from large, complex data sets

Understanding Data warehousing concepts: ETL, OLAP vs. OLTP, Slowly Changing Dimensions, is a plus

Reporting / dashboarding with any BI tool (Microstrategy, Tableau, Business Objects etc.) is desired

Basic knowledge (college level or hands-on) of stats modeling: classification, logistic regression, decision trees, clustering, k-fold cross validation, etc. required

Provide strong interpersonal skills while acting under diverse roles

Liaison, consultant, leader, peer, owner, customer, etc.

Experience in technical operations or hardware that supports a large scale website beneficial

Able to work in an extremely high volume, high energy environment


Additional Information

All your information will be kept confidential according to EEO guidelines.