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Professional Data Engineer Jobs in Oregon (NOW HIRING)

Data Engineer

OR · Remote

$114K - $137K/yr

Your Professional Qualifications * 3+ years of professional experience in Data Engineering, Software Engineering, or a related field. * 2+ years of hands-on experience building and maintaining ...

Data Engineer

OR · On-site

$35 - $40/hr

Job Title: Data Engineer Location: Remote - PST time zone Duration: Contract - 17 months We are ... Founded in 1998 on the idea that industry leaders needed a professional service, and workforce ...

... Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data Catalog Professional - Collibra Certified Ranger/Steward ...

OR

$80K - $180K/yr

We are looking for a data engineer who has a strong technical background and interest in ETL ... We reward teamwork, professional excellence, and individual responsibility. Using the best ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit ...

OR · On-site

$114K - $137K/yr

AWS Certified Developer - Associate/Professional * AWS Certified DevOps Engineer * AWS Certified Solutions Architect * AWS Certified Data Analytics * AWS Certified Security - Specialty * AWS ...

$100K - $136K/yr

Your success is our success, and we are seeking skilled professionals who are ready to bring their ... The Senior Data Engineer will report directly to the Senior Vice President of Enterprise ...

OR · On-site

$114K - $137K/yr

Bachelor's degree in Computer Science, Engineering, or a related technical field * 4+ years of professional experience in data engineering or related domains * Strong hands-on experience with:

New

Senior Data Engineer

OR · On-site +1

$105K - $143K/yr

... professionally & personally. We're a remote-first, work-anywhere, and "yes - you should make time ... We are looking for a Senior Data Engineer to take ownership of this massive daily ingestion engine.

Senior Data Engineer

$105K - $150K/yr

Job Summary As a Senior Data Engineer at WellBe you will play a pivotal role in collecting ... Lead and mentor a team of data professionals, providing guidance, performance evaluations, and ...

Summary: Overview The Senior Enterprise Data Engineer will play a critical role in designing ... Robust professional development opportunities, including classes, on-the-job training, coaching and ...

Staff Data Engineer

OR · On-site +1

$130K - $150K/yr

Must-have Qualifications: * 5 years of professional software engineering experience; * Eagerness to ... Experience managing data warehouses and/or data lakes; * Intellectual curiosity to innovate on ways ...

Three to ten or more years of professional experience supporting Army logistics, enterprise data ... Engineering, Operations Research, or a related discipline. * More than five years of experience ...

YipitData isn't a place for coasting-it's a launchpad for ambitious, impact-driven professionals ... Partner closely with Data Engineering to optimize code performance and scale analytical workflows.

YipitData isn't a place for coasting-it's a launchpad for ambitious, impact-driven professionals ... Partner closely with Data Engineering to optimize code performance and scale analytical workflows.

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Showing results 1-20

Professional Data Engineer information

See Oregon salary details

$47K

$137.1K

$187.7K

How much do professional data engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for professional data engineer in Oregon is $137,147.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,100.00 and $145,400.00 per year, depending on experience, location, and employer.

What is a professional data engineer?

A professional data engineer designs, builds, and maintains data pipelines and infrastructure to enable data collection, storage, and analysis. They often work with tools like SQL, Apache Spark, and cloud platforms, and require strong programming and data management skills. Certification and experience in data architecture are common for this role.

What is the difference between Professional Data Engineer vs Data Scientist?

AspectProfessional Data EngineerData Scientist
Required CredentialsCertifications like Google Cloud Professional Data Engineer, relevant degrees in computer science or data engineeringDegrees in statistics, data science, or related fields; certifications like Certified Data Scientist
Work EnvironmentDesigning data pipelines, managing data infrastructure, ensuring data qualityAnalyzing data, building models, deriving insights from data
Employer & Industry UsageTech companies, data-driven organizations focusing on data infrastructureResearch institutions, analytics firms, companies focusing on predictive modeling

The Professional Data Engineer primarily focuses on building and maintaining data infrastructure, ensuring data flows efficiently within organizations. In contrast, Data Scientists analyze data to extract insights and develop predictive models. Both roles often collaborate but serve different functions within data teams.

What are the most commonly searched types of Data Engineer jobs in Oregon? The most popular types of Data Engineer jobs in Oregon are:
What cities in Oregon are hiring for Professional Data Engineer jobs? Cities in Oregon with the most Professional Data Engineer job openings:

$114K - $137K/yr

Other

Posted 9 days ago


Job description

About the Role

As a Data Engineer focused on AI/ML, you'll build, maintain, and optimize the data infrastructure that powers Tebra's intelligent features. You'll partner closely with Machine Learning Engineers, Data Scientists, and Software Engineers to transform complex healthcare data into high-quality datasets and real-time features that enable machine learning models.

This is a hands-on engineering role where you'll contribute to scalable data pipelines, improve data quality, and help ensure our AI systems are powered by reliable, performant, and well-governed data. You'll work on modern data platforms and gain experience building solutions that support both model training and production inference.

Your Area of Focus
  • Design, build, and maintain scalable data pipelines for feature extraction, training data generation, and model monitoring.
  • Develop and enhance data systems that support analytics and machine learning workloads, including data lakehouse and feature store technologies.
  • Monitor production data pipelines, identify data quality issues or pipeline failures, and implement improvements to ensure reliability and freshness.
  • Participate in engineering design discussions and contribute to technical decisions around data architecture and pipeline implementation.
  • Build reusable data engineering components, including automated data quality checks, schema validation, and testing frameworks.
  • Translate business requirements into scalable data solutions that enable analytics and machine learning use cases.
  • Optimize SQL queries, Spark workloads, and data processing pipelines to improve performance and scalability.
  • Collaborate with ML Engineers and cross-functional partners to support MLOps best practices, including data versioning, lineage, and reproducibility.
  • Break down technical work into manageable tasks and deliver high-quality solutions within an agile team.
Your Professional Qualifications
  • 3+ years of professional experience in Data Engineering, Software Engineering, or a related field.
  • 2+ years of hands-on experience building and maintaining production data pipelines supporting analytics, reporting, or machine learning workloads.
  • Strong proficiency in Python and SQL with experience developing production-quality data pipelines.
  • Experience with modern data processing technologies such as Spark, Airflow, Kafka, or similar distributed data platforms.
  • Experience working with cloud-based data platforms such as Databricks, Snowflake, Delta Lake, or equivalent lakehouse technologies.
  • Understanding of data modeling, data warehousing, and data governance best practices.
  • Familiarity with machine learning data workflows, including training datasets, feature engineering, and data quality concepts.
  • Experience deploying and supporting production data pipelines with monitoring, testing, and CI/CD practices.
  • Strong problem-solving skills, attention to detail, and the ability to collaborate effectively across engineering and product teams.
  • Excellent communication skills and a desire to continuously learn new technologies and engineering practices.

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