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

Aroghia

Sr. Data Engineer

Beaverton, OR · On-site

$120K - $145K/yr

... data experience Extensive AI knowledge and experience. Programming experience, Python or Scala ... Experience with Java Experience working in a public cloud environment, particularly AWS, databricks ...

New

Ohm Systems, Inc

Sr. Data Engineer

Beaverton, OR · On-site

$120K - $145K/yr

... in engineering · Implement distributed data processing pipelines using tools and languages ... Java · Experience working in a public cloud environment, particularly AWS, databricks · ...

Moda Health

Data Engineer I, II

Portland, OR · On-site +1

$78K - $110K/yr

Familiarity with programming or scripting languages such as Python, R, or Java is a plus. * Experience with healthcare data is strongly preferred. Primary Functions: * Design, develop, test, and ...

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Java Data Engineer information

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$28

$64

$90

How much do java data engineer jobs pay per hour?

As of Aug 21, 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.

What are popular job titles related to Java Data Engineer jobs in Portland, OR?

For Java Data Engineer jobs in Portland, OR, the most frequently searched job titles are:

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:

Java Data Engineer jobs near you

Sr. Data Engineer

Aroghia

Beaverton, OR • On-site

$120K - $145K/yr

Other

Posted 2 days ago

New

Job description

Bachelor s degree in Computer Science, or related technical discipline
10+ years of experience in large-scale software development, 5+ years of big data experience
Extensive AI knowledge and experience.
Programming experience, Python or Scala preferred.
Experience working with Hadoop and related processing frameworks such as Spark, Hive, etc.
Experience with messaging/streaming/complex event processing tooling and frameworks
Experience with data warehousing concepts, SQL and SQL Analytical functions
Experience with workflow orchestration tools like Apache Airflow
Experience with source code control tools like Github or Bitbucket
Ability to communicate effectively, both verbally and written, with team members
Interest in and ability to quickly pick up new languages, technologies, and frameworks
Experience in Agile/Scrum application development
The following skills and experience are also relevant to our overall environment, and nice to have:
Experience with Java
Experience working in a public cloud environment, particularly AWS, databricks
Experience with cloud warehouse tools like Snowflake
Experience working with NoSQL data stores such as HBase, DynamoDB, etc.
Experience building RESTful API s to enable data consumption
Experience with build tools such as Terraform or CloudFormation and automation tools such as Jenkins or Circle CI
Experience with practices like Continuous Development, Continuous Integration and Automated Testing

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