ZipRecruiter

Log In

2

Remote Healthcare Data Engineer Jobs in Oregon (NOW HIRING)

Tebra

Data Engineer

OR · Remote

$114K - $137K/yr

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

Cotiviti

Principal Data Engineer AI

Principal Data Engineers establish the data foundation of Cotiviti's clinical AI platform-the ... Clinical healthcare background-familiarity with clinical documentation, medical coding, and health ...

Fieldwire

Data Engineer

OR · Remote

$120K - $150K/yr

This is a fully remote role based in the United States. What you'll be doing The primary ... Monitor pipeline health in real time; triage and resolve failures quickly to meet data availability ...

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 ...

LMI

Data Engineer - Clearance Required

$101K - $170K/yr

With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy ... This position may be performed in a remote or hybrid capacity. * Travel: Limited travel to Fort ...

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 ...

LMI

Data Engineer (Vantage) - Clearance Required

$101K - $174K/yr

With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy ... Open to Remote. Local preferred at client site in Crystal City VA or Aberdeen MD. Target salary ...

LMI

Data Engineer (Vantage) - Clearance Required

$101K - $174K/yr

With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy ... Open to Remote. Local preferred at client site in Crystal City VA or Aberdeen MD. Target salary ...

Wellbe Senior Medical

Senior Data Engineer

$105K - $150K/yr

... healthcare challenges. SKILLS & COMPETENCIES Coach and mentor the Analytics Engineering team ... Work Environment Remote Travel may be required up to 15% locally or nationally Pay Transparency ...

Origami Risk LLC

Senior Data Engineer

$117K - $146K/yr

All full-time positions are hybrid, with many eligible to be completely remote * Fully Paid by ... Health Savings Account, Commuter Benefits, Dependent Care Savings Account * Retirement Savings ...

Wellbe Senior Medical

Data Engineer

$90K - $135K/yr

Job Summary As a Data Engineer at Wellbe you will play a pivotal role in collecting, processing ... As a healthcare organization, WellBe conducts monthly FACIS (Fraud and Abuse Control Information ...

Origami Risk LLC

Senior Data Engineer

$117K - $146K/yr

All full-time positions are hybrid, with many eligible to be completely remote * Fully Paid by ... Health Savings Account, Commuter Benefits, Dependent Care Savings Account * Retirement Savings ...

Cotiviti

Data Engineer - AI

$101K - $132K/yr

Preferably in the Healthcare industry of enrollment, medical claims and/or pharmacy claims ... REMOTE #LI-LL1 #SENIOR Employment Type: OTHER

next page

Showing results 1-20

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

Remote Healthcare Data Engineer information

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 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 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 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 100% Full Time. Highlights an 100% Remote job distribution.

Data Engineer

Tebra

OR • Remote

$114K - $137K/yr

Other

Posted 10 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.

#LI-SS1 #LI-Remote

Apply