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Java Data Engineer Jobs in Los Angeles, CA (NOW HIRING)

Yeah! Global

Data Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

Proficiency in programming languages such as Python, Java, or Scala. * Knowledge of cloud-based data solutions (e.g., AWS, Azure, Google Cloud Platform). * Strong problem-solving and analytical ...

Lorven Technologies

Big Data Engineer

Costa Mesa, CA · On-site

$59.75 - $79/hr

Big Data Engineer Costa Mesa , CA or PHX or Bay Area Contract Job Responsibilities 10+ years of ... java/scala/kotlin, Cassandra, , Python, Hadoop, HDFS, Spark, MapReduce framework Good Scala ...

Match Made Tech

Data Engineer- Hybrid

Irvine, CA · On-site +1

$80 - $95/hr

We are seeking a skilled Data Engineer to join our team, responsible for leveraging Python, Java, PostgreSQL, Snowflake and AWS to design, develop, and maintain data pipelines and systems that ...

Dlapiper

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 ...

The Walt Disney Company

Sr Data Engineer

Glendale, CA

$135K - $181K/yr

Working knowledge of Java sufficient to troubleshoot and maintain existing applications ... Data Engineering Employment Type: Full time Primary City, State, Region, Postal Code: Orlando, FL ...

Jobsbridge

Big Data Engineer

Los Angeles, CA

$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 ...

KBR

Data Engineer

Camarillo, CA

$116K - $140K/yr

... Java, Scala, etc.). * Data Experience: Experience in dealing with imperfections in data. Experience should demonstrate competency in key concepts from software engineering, computer programming ...

KBR, Inc.

Data Engineer

Camarillo, CA · On-site

$116K - $140K/yr

... Java, Scala, etc.). * Data Experience: Experience in dealing with imperfections in data. Experience should demonstrate competency in key concepts from software engineering, computer programming ...

Voxelcloud

Data Engineer Intern

Los Angeles, CA

$123K - $148K/yr

Reporting to Data Team Lead, the Data Engineer intern will participate in the acquisition and ... Python , Java, C++, Scala, etc * Working SQL knowledge and experience working with relational ...

Voxelcloud

Data Engineer Intern

Los Angeles, CA · On-site

$123K - $148K/yr

Reporting to Data Team Lead, the Data Engineer intern will participate in the acquisition and ... Python , Java, C++, Scala, etc * Working SQL knowledge and experience working with relational ...

Planet DDS

Data Engineer IV

Irvine, CA

$118K - $170K/yr

Expert-level proficiency in SQL and at least one programming language (Python, Scala, or Java). * Deep experience designing and building data pipelines using tools such as Apache Spark, Airflow, dbt ...

Glidewell Dental

Data Engineer II

Irvine, CA

$105K - $130K/yr

Collaborates with the business community to identify, analyze and document data engineer's needs ... Experience in an open source language such as Python, Java, PHP, or Ruby. * Minimum one (1) year of ...

Glidewell Dental

Data Engineer II

Irvine, CA · On-site

$105K - $130K/yr

Maintains documentation for data engineer processes and procedures. * Collaborates with team to ... Experience in an open source language such as Python, Java, PHP, or Ruby. * Minimum one (1) year of ...

KBR

Data Engineer with Security Clearance

Camarillo, CA · On-site

$116K - $140K/yr

... Java, Scala, etc.). * Data Experience: Experience in dealing with imperfections in data. Experience should demonstrate competency in key concepts from software engineering, computer programming ...

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All JobsJava Data Engineer JobsJava Data Engineer Jobs in Los Angeles, CA

Java Data Engineer information

See Los Angeles, CA salary details

$28

$65

$91

How much do java data engineer jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for java data engineer in Los Angeles, CA is $65.11, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $73.56 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, 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 are popular job titles related to Java Data Engineer jobs in Los Angeles, CA? For Java Data Engineer jobs in Los Angeles, CA, the most frequently searched job titles are:
What job categories do people searching Java Data Engineer jobs in Los Angeles, CA look for? The top searched job categories for Java Data Engineer jobs in Los Angeles, CA are:
What cities near Los Angeles, CA are hiring for Java Data Engineer jobs? Cities near Los Angeles, CA with the most Java Data Engineer job openings:
Java Data Engineer jobs near you
Infographic showing various Java Data Engineer job openings in Los Angeles, CA as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $135,423 per year, or $65.1 per hour.

Data Engineer

Yeah! Global

Los Angeles, CA • On-site

$123K - $148K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Note: This position does not offer any Visa sponsorship. We are only looking for applicants who are either local to Los Angeles, CA, or ready to relocate to the employers location.

Job Summary:
Our Client is looking for a skilled Data Engineer to join their team. The ideal candidate will be responsible for designing, implementing, and maintaining data pipelines that ensure efficient and reliable data flow across our systems. You will work closely with data scientists, analysts, and other stakeholders to support data-driven decision-making processes.

Key Responsibilities:

  • Design, develop, and maintain scalable and efficient data pipelines.
  • Integrate, clean, and organize raw data from various sources into structured formats.
  • Develop and maintain data warehouses and data lakes to support analytics and business intelligence needs.
  • Implement and manage ETL (Extract, Transform, Load) processes to ensure data quality and consistency.
  • Optimize database performance and query execution.
  • Collaborate with data scientists and analysts to understand data requirements and deliver solutions.
  • Ensure data security and compliance with relevant data protection regulations.
  • Monitor and troubleshoot data-related issues and provide timely resolutions.
  • Document data engineering processes, architectures, and workflows.

Qualifications:

  • Bachelors degree in Computer Science, Information Technology, or a related field.
  • Proven experience as a Data Engineer or in a similar role.
  • Strong proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL, Oracle).
  • Familiarity with big data technologies such as Hadoop, Spark, and Kafka.
  • Experience with data integration tools and platforms (e.g., Talend, Apache NiFi).
  • Proficiency in programming languages such as Python, Java, or Scala.
  • Knowledge of cloud-based data solutions (e.g., AWS, Azure, Google Cloud Platform).
  • Strong problem-solving and analytical skills.
  • Excellent communication and teamwork abilities.

Preferred Skills:

  • Experience with data warehousing solutions (e.g., Amazon Redshift, Google BigQuery).
  • Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
  • Knowledge of data governance and data privacy regulations.
  • Certification in data engineering or related fields.

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