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Healthcare Data Engineer Jobs in Oregon (NOW HIRING)

Tebra

Data Engineer

OR · On-site +1

$114K - $137K/yr

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 ...

Waymark

Senior/Principal Data Engineer

OR · On-site +1

$125K - $172K/yr

About Waymark Waymark is a mission-driven team of healthcare providers, technologists, and builders ... You will report to data engineering leadership and setting the technical direction for our clinical ...

Moda Health

Data Engineer I, II

Portland, OR · On-site +1

$78K - $110K/yr

Today, like then, we're focused on building a better future for healthcare. That starts by offering ... Position Summary The Data Engineer role on the Data Science Team (DST) is responsible for designing ...

Russell, Tobin & Associates

Data Engineer 5

Beaverton, OR · On-site

$70 - $78/hr

Data Engineer Location: Beaverton, OR - Hybrid (4 days onsite / 1 day remote per week) Duration ... Russell Tobin offers eligible employee's comprehensive healthcare coverage (medical, dental, and ...

Netflix

Data Engineer (L5)

OR · On-site +1

$380K - $610K/yr

Data Engineering at Netflix is a role that requires building systems to process data efficiently ... Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program ...

Waymark

Data/AI Scientist II

OR · On-site +1

$95K - $127K/yr

About Waymark Waymark is a team of healthcare providers, technologists, and builders whose mission ... You will work closely with senior data scientists and engineers to learn how ideas move from ...

Thermo Fisher Scientific

OR

$135K - $203K/yr

... Developer to design, develop, and maintain healthcare data interfaces that enable seamless ... The ideal candidate will have strong expertise in HL7 standards, healthcare data workflows, and ...

AmeriSave Mortgage Corp.

$100K - $136K/yr

The Senior Data Engineer will report directly to the Senior Vice President of Enterprise ... Own the control tower for database health across the Azure SQL estate - standing up and maintaining ...

Stackruit Ltd.

SQL Software Engineer

Gresham, OR · On-site

$90 - $120/hr

Do you want to leverage your SQL skills to develop healthcare data solutions? Mainz Brady Group, a leading IT staffing firm, is searching for a SQL Software Engineer to design, develop, and maintain ...

Amerilife Group, LLC

Senior Data Engineer

OR · On-site +1

$142K - $160K/yr

... health insurance solutions for those planning for and living in retirement. Associates get ... Engineer reusable enterprise data assets for business consumption. * Optimize large-scale ...

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All JobsHealthcare Data Engineer JobsHealthcare Data Engineer Jobs in Oregon

Healthcare Data Engineer information

See Oregon salary details

$47K

$137.1K

$187.7K

How much do healthcare data engineer jobs pay per year?

As of Aug 28, 2026, the average yearly pay for healthcare 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 healthcare data engineer?

A Healthcare Data Engineer is responsible for designing, building, and maintaining data infrastructure in the healthcare industry. They work with large datasets from electronic health records (EHRs), medical devices, and other sources to ensure data is stored, processed, and accessed efficiently. Their role includes developing data pipelines, ensuring compliance with healthcare data regulations (such as HIPAA), and optimizing data for analytics and machine learning. By enabling secure and efficient data management, Healthcare Data Engineers help improve patient care, streamline operations, and support medical research.

What are some typical projects or challenges a healthcare data engineer might face in their day-to-day work?

As a Healthcare Data Engineer, you may work on projects such as designing data pipelines to aggregate data from multiple EHR systems, ensuring data integrity and security throughout the process. A common challenge in this role is working with complex, sensitive datasets that must remain compliant with healthcare privacy regulations while still being accessible and useful for analysis. You’ll likely collaborate closely with data scientists, clinicians, and IT teams to understand data requirements and optimize system performance. Troubleshooting data quality issues and continuously improving data architecture are regular tasks, making adaptability and continuous learning important for ongoing success.

What are the key skills and qualifications needed to thrive as a healthcare data engineer, and why are they important?

To thrive as a Healthcare Data Engineer, you need a solid background in computer science, data modeling, and understanding of healthcare data standards, often supported by a relevant degree and experience with big data technologies. Proficiency in programming languages like SQL, Python or R, knowledge of data warehousing solutions, and familiarity with HIPAA regulations or health information systems are typically required, along with certifications such as AWS Certified Data Analytics or Certified Health Data Analyst (CHDA). Strong problem-solving abilities, attention to detail, and effective communication skills are highly valued for collaborating with cross-functional teams. These skills are essential for building secure, reliable data systems that support healthcare analytics and ensure regulatory compliance.

How do you become a healthcare data engineer?

To become a healthcare data engineer, one typically needs a bachelor's degree in computer science, data science, or a related field, along with experience in data management, programming languages like Python or SQL, and familiarity with healthcare data standards such as HL7 or FHIR. Gaining knowledge of healthcare regulations like HIPAA and obtaining relevant certifications can also enhance job prospects. Practical experience with data pipelines, cloud platforms, and database systems is essential for this role.

What are the most commonly searched types of Healthcare Data Engineer jobs in Oregon?

The most popular types of Healthcare Data Engineer jobs in Oregon are:

What are popular job titles related to Healthcare Data Engineer jobs in Oregon?

For Healthcare Data Engineer jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Healthcare Data Engineer jobs in Oregon look for?

The top searched job categories for Healthcare Data Engineer jobs in Oregon are:

What cities in Oregon are hiring for Healthcare Data Engineer jobs?

Cities in Oregon with the most Healthcare Data Engineer job openings:

Healthcare Data Engineer jobs near you
Infographic showing various Healthcare Data Engineer job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $137,147 per year, or $65.9 per hour.

Data Engineer

OR • On-site, Remote

Tebra
See more jobs at Tebraexternal

$114K - $137K/yr

Full-time

Re-posted 2 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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