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Remote Healthcare Data Engineer Jobs in Oregon (NOW HIRING)

Tebra

Data Engineer

OR · On-site +1

$114K - $137K/yr

... healthcare data into high-quality datasets and real-time features that enable machine learning ... Remote

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 ... A reliable, high-speed, hard-wired internet connection required to support remote or hybrid work.

Netflix

Data Engineer (L5)

OR · On-site +1

$380K - $610K/yr

... remote in the US with occasional visits to Los Gatos) depending on the team your skills are most ... Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program ...

NinjaTrader

Sr. Data Engineer

OR · On-site +1

$100K - $150K/yr

This role is remote-friendly and reports to the Manager, Data & Analytics Engineering. As a Sr. Data Engineer, your primary responsibility is to stay one step ahead of your fellow team members by ...

Verve

Data Engineer (Remote / Contract)

OR · On-site +1

$114K - $137K/yr

We are looking for a Data Engineer to join our engineering team to help us manage our diverse and growing set of initiatives. This is a fully remote, 40-hour per week contract position with the ...

BECU

Sr Data Engineer

OR · On-site +1

$110K - $204K/yr

The Senior Data Engineer is responsible for writing data workflows according to design ... Remote or onsite, we are committed to ensuring you are fully engaged and included in our ...

New

Wheelhouse

Senior Data Engineer

OR · On-site +1

$105K - $143K/yr

We're a remote-first, work-anywhere, and "yes - you should make time for that adventure/vacation ... healthy hustle" is the key to good growth. At our core, we process massive amounts of data to give ...

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 ...

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 ...

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 ...

OneStudyTeam

Senior Data Scientist

OR · On-site +1

$140K - $190K/yr

You'll work in a highly regulated healthcare data environment, ensuring compliance with privacy ... This role involves close collaboration with cross-functional teams (especially ML Engineering) to ...

Netflix

Data Engineer (L5) - Ads

OR · On-site +1

$380K - $610K/yr

About the team Ads Data Engineering team sits at the core of building a data ecosystem that will ... Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) ...

Weight Watchers

Senior Data Engineer

OR · On-site +1

$105K - $143K/yr

Monitor production health using monitoring tools (e.g. Datadog, Monte Carlo) ensuring our data ... Experience: 5+ years in data engineering, with at least 2+ years focused on distributed, large ...

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All JobsHealthcare Data Engineer JobsRemote Healthcare Data Engineer JobsRemote Healthcare Data Engineer Jobs in Oregon

Remote Healthcare Data Engineer information

What does a remote healthcare data engineer do?

A Remote Healthcare Data Engineer designs, builds, and maintains data systems that collect, store, and process healthcare data, all while working from a remote location. They ensure that large volumes of medical records, patient information, and other healthcare-related data are organized and secure. Their work supports healthcare providers and researchers in making data-driven decisions, improving patient outcomes, and ensuring compliance with privacy regulations. Remote Healthcare Data Engineers often collaborate with data scientists, analysts, and IT teams to create efficient and scalable data pipelines tailored to the unique needs of healthcare organizations.

What skills and qualifications are needed to thrive as a remote healthcare data engineer?

To thrive as a Remote Healthcare Data Engineer, you need expertise in data architecture, database management, and healthcare data standards, often supported by a degree in computer science or a related field. Familiarity with tools like SQL, Python, cloud platforms (e.g., AWS or Azure), and knowledge of healthcare-specific systems such as HL7 or FHIR is crucial. Strong problem-solving skills, attention to detail, and effective remote communication are standout soft skills in this role. These competencies ensure secure, accurate handling of sensitive health information and support effective data-driven decisions in healthcare organizations.

How does a remote healthcare data engineer collaborate with clinical and IT teams to ensure data accuracy and security?

Remote Healthcare Data Engineers frequently work cross-functionally with clinical staff, IT professionals, and data analysts to design, implement, and maintain secure data pipelines. They participate in virtual meetings to understand data requirements, clarify data definitions, and ensure compliance with healthcare regulations such as HIPAA. Collaboration tools and secure communication platforms are essential to share updates, resolve issues, and document workflows. This teamwork helps ensure that data is accurate, accessible, and protected, ultimately supporting improved patient outcomes and operational efficiency.

What is the difference between Remote Healthcare Data Engineer vs Remote Healthcare Data Analyst?

AspectRemote Healthcare Data EngineerRemote Healthcare Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; experience with data pipelinesBachelor's in Statistics, Data Analysis, or related; proficiency in data visualization
Work EnvironmentDevelops data infrastructure, manages pipelines, collaborates with engineersInterprets data, creates reports, supports decision-making
Industry UsageDesigns data systems for healthcare organizations, research institutionsAnalyzes healthcare data for insights, reporting, and compliance
Common Search/ComparisonOften compared for technical roles in healthcare data managementRelated but focuses on analysis rather than infrastructure

The main difference is that Remote Healthcare Data Engineers build and maintain data systems and pipelines, while Remote Healthcare Data Analysts interpret data and generate reports. Both roles require healthcare industry knowledge, but engineers focus on data infrastructure, whereas analysts focus on data insights.

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

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

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

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

Remote Healthcare Data Engineer jobs near you
Infographic showing various Remote Healthcare Data Engineer job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Engineer

OR • On-site, Remote

Tebra
See more jobs at Tebraexternal

$114K - $137K/yr

Full-time

Re-posted yesterday

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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