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

... programming languages such as Python and Java to enhance AI model deployment - Overseeing the creation and maintenance of data pipelines and infrastructure - Applying deep learning techniques and ...

... engineering and product development teams Requirements and skills Proven experience as a Data ... Java, or C++ is an asset Experience using business intelligence tools (e.g. Tableau) and data ...

Senior Software Engineer - Database

Vancouver, WA · On-site +1

$111K - $150K/yr

Description VAST Data is looking for a Senior Software Engineer to join our growing team! This is a ... Knowledge of Python or Java for integration or tooling * Bachelor's, Master's or PhD in a related ...

Currently, we are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, Data analysts/Data Scientists. We welcome candidates with all visas and citizens to apply. Who ...

Currently, we are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, data analysts/data scientists. We welcome candidates with all visas and citizens to apply. Who ...

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 ...

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Java Data Engineer information

See Portland, OR salary details

$28

$64

$90

How much do java data engineer jobs pay per hour?

As of Jun 24, 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 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 job categories do people searching Java Data Engineer jobs in Portland, OR look for? The top searched job categories for Java Data Engineer jobs in Portland, OR are:

$55 - $75.25/hr

Contractor

Posted 18 days ago


Job description


What You Need for this Position
• Experience developing applications to run in a large-scale environment.
• Strong knowledge and hands-on experience with Java.
• Experience designing REST APIs and developing RESTful Web Services
• Experience with developing automated unit tests and managing and executing unit tests using tools such as JUnit.
• Experience developing Object Oriented, multi-tier applications in a complex architectural landscape.
• Experience developing in a continuous integration environment using Jenkins.
• Experience writing automated unit and integration tests using JUnit or TestNG testing frameworks.
• Able to maintain the build and deployment process through use of build integration tools.
• Experience working in an Agile development environment.
• Experience developing ecommerce based web applications.
Preferred if you have:
• Experience using and scaling NoSQL databases such as Cassandra, DynamoDB, Mongo or Couchbase.
• Experience with ETL data processing using EMR, SPARK, Snowflake/SQL database.
• Experience designing and developing on horizontally and highly scalable cloud-based architecture. AWS cloud infrastructure experience strongly preferred.
• Experience developing in a TDD environment or a strong desire to learn.
• Experience in a Blue/Green deployment model.
• Experience in a Continuous Delivery (CD) environment.
• Experience designing and implementing performance tests.
• Experience designing instrumentation into code and using and integrating with software & logging analysis tools such as New Relic & Splunk.
• Experience with Linux (CentOS, Ubuntu, etc).
Skill Set
java, jenkins, rest, agile