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Remote Healthcare Data Engineer Jobs in Seattle, WA

Noblesoft Technologies

Data Engineer

Bellevue, WA · Remote

$117K - $140K/yr

Bellevue, WA. (Remote) Mandatory Skills: Vectr and Cribl 8+ years of experience. * Design and develop ETL/ELT pipelines using Azure Data Factory (ADF) and Databricks (PySpark). * Build and manage API ...

Archgroup

Manager, Data Engineer (Remote)

Home, WA · Remote

$100K - $174K/yr

Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships ... Student Loan Assistance and Tuition Reimbursement, Backup Child and Elder Care; and more. Click ...

Archgroup

Manager, Data Engineer (Remote)

Home, WA · Remote

$100K - $174K/yr

Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships ... Student Loan Assistance and Tuition Reimbursement, Backup Child and Elder Care; and more. Click ...

Truveta

Senior Product Manager - Data Onboarding

Seattle, WA · On-site +1

$144K - $190K/yr

... LI-remote Who We Need Truveta is rapidly building a talented and diverse team to tackle complex ... You will define and drive the roadmap for onboarding healthcare data with exceptional speed ...

Chewy

Data Engineer II

Bellevue, WA · On-site +1

$144K - $180K/yr

Data Engineer II Bellevue, WA -Ads - Full time - R30286 What you'll do: * Own the design ... We offer parental leave, family services benefits, backup dependent care, flexible spending ...

Truveta

Software Engineer - Data Processing

Seattle, WA · On-site +1

$110K - $145K/yr

Software Engineer - Data Processing Truveta is the world's first health provider led data platform ... Innovate using strong problem-solving skills and ability to learn quickly in the healthcare domain.

Mactores

AWS Data Engineer (Associate)

Seattle, WA · On-site +1

$130K - $156K/yr

Work across engineering and business teams to build data products and services people actually use ... We care about what ships, and we let you be yourself while you ship it. Life at Mactores We care ...

Mactores

AWS Data Engineer (Associate)

Seattle, WA · Remote

$117K - $140K/yr

Work across engineering and business teams to build data products and services people actually use ... We care about what ships, and we let you be yourself while you ship it. Life at Mactores We care ...

LHH US

Sr BI/Analytics Developer

Seattle, WA · Remote

$90 - $125/hr

... Data Analyst for a remote contract opportunity supporting a growing healthcare analytics and ... Bachelor's degree in Computer Science, Computer Engineering, Mathematics, Statistics, Health ...

LHH US

Sr BI/Analytics Developer

Seattle, WA · Remote

$90 - $125/hr

... Data Analyst for a remote contract opportunity supporting a growing healthcare analytics and ... Bachelor's degree in Computer Science, Computer Engineering, Mathematics, Statistics, Health ...

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All JobsHealthcare Data Engineer JobsRemote Healthcare Data Engineer JobsRemote Healthcare Data Engineer Jobs in Seattle, WA

Remote Healthcare Data Engineer information

See Seattle, WA salary details

$50.6K

$147.6K

$202K

How much do remote healthcare data engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for remote healthcare data engineer in Seattle, WA is $147,621.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,300.00 and $156,500.00 per year, depending on experience, location, and employer.

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 the most commonly searched types of Healthcare Data Engineer jobs in Seattle, WA? The most popular types of Healthcare Data Engineer jobs in Seattle, WA are:
What are popular job titles related to Remote Healthcare Data Engineer jobs in Seattle, WA? For Remote Healthcare Data Engineer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Remote Healthcare Data Engineer jobs in Seattle, WA look for? The top searched job categories for Remote Healthcare Data Engineer jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Remote Healthcare Data Engineer jobs? Cities near Seattle, WA with the most Remote Healthcare Data Engineer job openings:
Remote Healthcare Data Engineer jobs near you
Infographic showing various Remote Healthcare Data Engineer job openings in Seattle, WA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $147,621 per year, or $71 per hour.

Data Engineer

Noblesoft Technologies

Seattle, WA • Remote

$117K - $140K/yr

Contractor

Re-posted 8 days ago

Job description

Job Role: Senior Data Engineer
Location: Remote
 
JD:
 
 
Key Responsibilities
• Design and implement ETL pipelines using Microsoft Fabric (Dataflows, Pipelines, Lakehouse, warehouse, sql) and Azure Data Factory.
• Build and maintain a metadata-driven Lakehouse architecture with threaded datasets to support multiple consumption patterns.
• Develop agent-specific data lakes and an orchestration layer for an uber-agent that can query across agents to answer customer questions.
• Enable interactive data consumption via Power BI, Azure OpenAI, and other analytics tools.
• Ensure data quality, lineage, and governance across all ingestion and transformation processes.
• Collaborate with product teams to understand data needs and deliver scalable solutions.
• Optimize performance and cost across storage and compute layers.
Required Qualifications
• 5+ years of experience in data engineering with a focus on Microsoft Azure and Fabric technologies.
Strong expertise in:
o Microsoft Fabric (Lakehouse, Dataflows Gen2, Pipelines, Notebooks)
o Azure Data Factory, Azure SQL, Azure Data Lake Storage Gen2
o Power BI and/or other visualization tools
o Azure Functions, Logic Apps, and orchestration frameworks
o SQL, Python and PySpark/Scala
• Experience working with structured and semi-structured data (JSON, XML, CSV, Parquet).
• Proven ability to build metadata-driven architectures and reusable components.
• Familiarity with agent-based architectures and conversational AI integration is a plus.
• Strong understanding of data modeling, data governance, and security best practices.
Preferred Qualifications
• Experience with Azure OpenAI, Copilot Studio, or similar conversational platforms.
• Knowledge of CI/CD pipelines and DevOps practices for data engineering.
• Experience in building multi-tenant data platforms or domain-specific lakes.