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

Jobsbridge

Java Developer (Cloud Services)

Portland, OR

$54 - $70/hr

... data types Large files, small files, such as JSON metadata files, video files, HSI imagery ... Server-side Java programming Tomcat, Spring framework & other Java dev environments Micro-services ...

AZAD Technology Partners

Data Scientist

Vancouver, WA · Hybrid

$65 - $70/hr

... Engineer Google Advanced Data Analytics Certificate for Machine Learning IBM Data Science ... Demonstrated knowledge of computer languages including, but not limited to Python, Java, SQL, and R.

RevSpring

Senior Software Engineer - ETL, Java

Portland, OR · On-site

$129K - $171K/yr

Senior Software Engineer - ETL, Java Essential Functions: * Collaborate with teams across the ... Develop new ways to ensure ETL and data processes are running efficiently. * Write clean ...

Dellfor Technologies

senior java developer

Oregon City, OR · On-site

$61.25 - $78/hr

Competence in using Java IDE tools of Eclipse, GGTS, Rational Application Developer (RAD ... Big data experience. * Teamwork & collaboration skills to work across organizations and lead cross ...

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All JobsJava Data Engineer JobsJava Data Engineer Jobs in Portland, OR

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 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

Associate Data & ML Operations Engineer

Concora Credit Inc.

Beaverton, OR • On-site

$119K - $143K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago

Job description

Overview
As our Associate Data & ML Operations Engineer, you'll help drive Concora Credit's Mission to enable customers to Do More with Credit - every single day.
The impact you'll have at Concora Credit:
As an Associate Data & ML Operations Engineer, you ensure the reliability, stability and operational excellence of Enterprise Data and ML/AI platforms. You will be responsible for supporting end to end Data Operations including ETL/ELT pipelines, reporting and dashboarding workloads, advanced analytics and machine learning workflows, ensuring they run consistently and efficiently across Azure services such as Databricks, Data Factory, Data Lake, SQL Server and Power BI. This role requires close coordination with business stakeholders, data engineers, ML engineers and BI engineers to deliver accurate, timely datasets and reports that align with business needs.
We hire people, not positions. That's because, at Concora Credit, we put people first, including our customers, partners, and Team Members. Concora Credit is guided by a single purpose: to help non-prime customers do more with credit. Today, we have helped millions of customers access credit. Our industry leadership, resilience, and willingness to adapt ensure we can help our partners responsibly say yes to millions more. As a company grounded in entrepreneurship, we're looking to expand our team and are looking for people who foster innovation, strive to make an impact, and want to Do More! We're an established company with over 20 years of experience, but now we're taking things to the next level. We're seeking someone who wants to impact the business and play a pivotal role in leading the charge for change.
Responsibilities
As our Associate Data & ML Operations Engineer, you will:
  • Manage and monitor ETL/ELT pipelines, analytics reporting jobs, ML workflows across Azure services, ensuring SLA compliance and the timely resolution of Incidents, failures and performance bottlenecks
  • Perform root cause analysis and implement long term fixes that prevent recurring issues and improve overall operational reliability
  • Contribute to platform automation, CI/CD for data/ML pipelines, infrastructure as code, and disaster recovery planning
  • Collaborate with Data engineers, ML engineers, and BI engineers to troubleshoot issues, implement improvements, automate operations, and drive continuous enhancement of data/ML platform reliability.
  • Develop and maintain code enhancements, automation scripts that support both data engineering and operational needs.
  • Provide after-hours support for critical systems and applications.
  • Develop and maintain documentation, runbooks, and operational standards.

These duties must be performed with or without reasonable accommodation.
We know experience comes in many forms and that many skills are transferable. If your experience is close to what we're looking for, consider applying. Diversity has made us the entrepreneurial and innovative company that we are today.
Qualifications
Requirements:
  • Degree in Computer Science, Data Science, Engineering or related field
  • Basic understanding of data engineering, with focus on Azure cloud technologies
  • Basic understanding of Azure Databricks, including PySpark, SQL, and Delta Lake
  • General understanding of data warehousing, ETL/ELT
  • Understanding of Azure monitoring tools
  • Experience with programming languages such as Python, PowerShell, Java
  • Understanding of version control and CI/CD pipelines (Azure DevOps, GitHub etc.)

Soft Skills:
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration abilities across technical and non-technical teams.
  • Ability to work independently in a fast-paced, agile environment.
  • Passion for delivering clean, high-quality, and maintainable code.

What's In It For You:
  • Medical, Dental and Vision insurance for you and your family
  • Relax and recharge with Paid Time Off (PTO)
  • 6 company-observed paid holidays, plus 3 paid floating holidays
  • 401k (after 90 days) plus employer match up to 4%
  • Pet Insurance for your furry family members
  • Wellness perks including onsite fitness equipment at both locations, EAP, and access to the Headspace App
  • We invest in your future through Tuition Reimbursement
  • Save on taxes with Flexible Spending Accounts
  • Peace of mind with Life and AD&D Insurance
  • Protect yourself with company-paid Long-Term Disability and voluntary Short-Term Disability

Concora Credit provides equal employment opportunities to all Team Members and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Employment-based visa sponsorship is not available for this role.
Concora Credit is an equal opportunity employer (EEO).
Please see the Concora Credit Privacy Policy for more information on how Concora Credit processes your personal information during the recruitment process and, if applicable, based on your location, how you can exercise your privacy rights. If you have questions about this privacy notice or need to contact us in connection with your personal data, including any requests to exercise your legal rights referred to at the end of this notice, please contact caprivacynotice@concoracredit.com.

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