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Java Data Engineer Jobs in Portland, OR (NOW HIRING)

SQL Software Engineer

Gresham, OR · On-site

$90 - $120/hr

Mainz Brady Group, a leading IT staffing firm, is searching for a SQL Software Engineer to design ... data pipelines using T‑SQL and SSIS packages. In this role, you'll also assist with Java ...

Java/J2EE/AWS

Hillsboro, OR · On-site

$55.50 - $72/hr

At least 2 years of experience in Java,J2EE, Spring ... At least 2 years of Experience with RESTful API service development, data persistence layers * At ...

Java/J2EE/AWS

Hillsboro, OR · On-site

$55.50 - $72/hr

At least 2 years of experience in Java,J2EE, Spring ... At least 2 years of Experience with RESTful API service development, data persistence layers * At ...

Android Developer

Beaverton, OR

$58 - $76.25/hr

3+ years designing and implementing aOS applications in Java 5+ years programming in any of: C/C ... data structures TDD and BDD experience Solid working knowledge of the aOS runtime including ...

Android Developer

Beaverton, OR · On-site

$58 - $76.25/hr

Company Description 3+ years designing and implementing aOS applications in Java 5+ years ... data structures TDD and BDD experience Solid working knowledge of the aOS runtime including ...

Ability to read and understand code (Python, Java, SQL, or similar) to analyze data transformations, understand system logic, and assess technical feasibility * Strong programming skills in Python ...

... Java) Experience with working on projects in highly collaborative, multi-disciplinary development teams Solid foundation in data structures, algorithms, object-oriented programming, MVC architecture ...

Automation Tester

Vancouver, WA · On-site

$48.25 - $63.50/hr

Object oriented programming concepts Programming in C#,.NET, or Java Coding automation test scripts Data validation and manual testing Performing functional, system, regression and database tests ...

Showing results 41-60

Java Data Engineer information

See Portland, OR salary details

$28

$64

$90

How much do java data engineer jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for java data engineer in Portland, OR is $64.08, according to ZipRecruiter salary data. Most workers in this role earn between $52.79 and $72.40 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.

Senior Java (10+ Years) with AWS and Spring Boot

Ruri Software Technologies LLC

Washougal, WA • On-site

$65.50 - $83.50/hr

Full-time

Re-posted 4 days ago


Job description

The client is looking for a Full stack engineer, with 10+ years of experience on Java, Spring boot, Microservices and AWS experience. This will be 100% hands on development position.
  • 10+ years of experience of full-stack development using Java and J2EE
  • Experience with Spring Core, Spring Boot, Spring MVC, Spring Integration, Spring Security, and Spring Batch
  • Hands on experience with micro services development, distributed computing, data caching and event sourcing
  • Experience in testing automation using Selenium, Cucumber, and JUnit
  • Hands-On experience with Database development and tools with SQL, O/RM, Flyway, OLTP Database Tuning, etc.
  • Hands-on experience in Cloud (AWS, Azure, etc.) implementation, development and support
  • Knowledge of UNIX (Linux) environment and scripting (bash, shell and python)
  • Experience with implementing integration solutions with RESTful Web Services