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

Data Platform Engineer, Autonomy Analytics

Irvine, CA · On-site

$122K - $147K/yr

Design and build the data platform, frameworks, and developer tooling that power ingestion across ... Strong programming skills in Python and SQL (C++, Scala, or Java a plus). * Production experience ...

JAVA SOA Developer

Orange, CA · On-site

$54.50 - $70.50/hr

... SOA, BPM, Data Warehousing, SharePoint Consulting and IT Infrastructure. Our other offerings ... JAVA SOA Developer Location: Lake Forest, CA Duration: 6-12 Months Top Three Skills: SOA Java ...

Data Platform Engineer, Data Pipelines

Irvine, CA · On-site

$122K - $147K/yr

We go beyond typical data-driven(1) approaches or pure transformer-based architectures, and are ... Strong programming skills in Python and SQL (C++, Scala, or Java a plus). * Production experience ...

We go beyond typical data-driven(1) approaches or pure transformer-based architectures, and are ... Strong programming skills in Python and SQL (C++, Scala, or Java a plus). * Production experience ...

Data Platform Engineer, Data Pipelines

Irvine, CA · On-site

$122K - $147K/yr

We go beyond typical data-driven(1) approaches or pure transformer-based architectures, and are ... Strong programming skills in Python and SQL (C++, Scala, or Java a plus). * Production experience ...

Data Platform Engineer, Data Pipelines

Irvine, CA · On-site

$122K - $147K/yr

The Data Platform team builds the systems that capture every autonomy intervention, anomaly, and ... Strong programming skills in Python and SQL (C++, Scala, or Java a plus). * Production experience ...

Senior Java Software Engineer - Developer

Seal Beach, CA · On-site

$59.25 - $75.75/hr

Senior Java Software Engineer - Developer Company: The Boeing Company The Boeing Company is looking ... data science, or computer science and 9+ years of related work experience OR Bachelor's Degree and ...

Senior Java Developer

Downey, CA · On-site

$59.25 - $75.50/hr

... engineer, software developer, software quality assurance specialist, systems programmer, systems ... including data structures, data modeling, data warehousing and transaction processing ...

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Java Data Engineer information

See Irvine, CA salary details

$28

$64

$91

How much do java data engineer jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for java data engineer in Irvine, CA is $64.86, according to ZipRecruiter salary data. Most workers in this role earn between $53.41 and $73.27 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 cities near Irvine, CA are hiring for Java Data Engineer jobs?

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

Data Platform Engineer, Autonomy Analytics

Irvine, CA

FieldAI
201 - 500 employees

$122K - $147K/yr

Full-time

Re-posted yesterday


Job description

What You'll Get To Do
  • Design and build the data platform, frameworks, and developer tooling that power ingestion across Field AI.
  • Handle the realities of field data: intermittent connectivity, large sensor payloads (LiDAR, camera, IMU), edge-to-cloud synchronization, and backfill from offline deployments.
  • Develop reusable ingestion SDKs, APIs, and services that enable teams to onboard new robotics data sources with minimal custom code.
  • Build and maintain integrations across heterogeneous sources: robot/edge systems, fleet management and deployment tooling, simulation outputs, and cloud object storage.
  • Integrate the platform with downstream consumers: BI tools, ML training and evaluation pipelines, labeling systems, and issue tracking.
  • Develop connectors and APIs (REST/gRPC, webhooks, CDC) so internal teams can feed data in and consume curated datasets reliably.
  • Own integration reliability end to end: schema contracts, versioning, retries, backfills, and monitoring.
  • Optimize pipeline performance, scalability, and cost across growing fleet deployments.
What You Have
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
  • 3–5+ years of experience in data engineering or backend engineering focused on pipelines and infrastructure.
  • Strong programming skills in Python and SQL (C++, Scala, or Java a plus).
  • Production experience with streaming systems (Kafka, Kinesis, Pub/Sub) and orchestration tools such as Airflow or Dagster.
  • Experience with a modern warehouse or lakehouse (BigQuery, Snowflake, Databricks, Redshift) and cloud object storage at scale.
  • Experience building integrations across systems: third-party APIs, internal services, and CDC/ELT tooling (Fivetran, Airbyte, Debezium, or custom connectors).
  • Experience building for data quality: testing, monitoring, lineage, and incident response.
  • Strong problem-solving skills and ability to work in interdisciplinary teams.
The Extras That Set You Apart
  • Experience with robotics, autonomy, automotive, or other telemetry-heavy operational data (bag files, fleet logs, time-series sensor data).
  • Familiarity with robotics middleware and log formats such as ROS/ROS2, MCAP, or rosbag.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.