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Healthcare Data Engineer Jobs in Portland, OR (NOW HIRING)

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 ...

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 ...

New

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Sr. Data Engineer

Beaverton, OR · On-site

$70 - $75/hr

... in engineering * Implement distributed data processing pipelines using tools and languages ... specializes in IT and Healthcare staffing services, dedicated to linking highly skilled ...

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 ...

New

We are seeking a Temporary Data Engineer to support analysis and data-driven decision-making within ... Eligible for health benefits on the 1st day of the month after your start date * Medical, Dental ...

We are seeking a Temporary Data Engineer to support analysis and data-driven decision-making within ... Eligible for health benefits on the 1st day of the month after your start date * Medical, Dental ...

D. in Data Science, Statistics, Computer Science, Engineering, or a related field is preferred ... Eligible for health benefits on the 1st day of the month after your start date * Medical, Dental ...

We are seeking a Temporary Data Engineer to support analysis and data-driven decision-making within ... Eligible for health benefits on the 1st day of the month after your start date * Medical, Dental ...

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Showing results 1-20

Healthcare Data Engineer information

See Portland, OR salary details

$47.2K

$137.6K

$188.2K

How much do healthcare data engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for healthcare data engineer in Portland, OR is $137,565.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,400.00 and $145,800.00 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 Portland, OR?

The most popular types of Healthcare Data Engineer jobs in Portland, OR are:

What are popular job titles related to Healthcare Data Engineer jobs in Portland, OR?

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

What job categories do people searching Healthcare Data Engineer jobs in Portland, OR look for?

The top searched job categories for Healthcare Data Engineer jobs in Portland, OR are:

Infographic showing various Healthcare Data Engineer job openings in Portland, OR as of August 2026, with employment types broken down into 79% Full Time, 14% Part Time, and 7% Contract. Highlights an 79% In-person, and 21% Remote job distribution, with an average salary of $137,565 per year, or $66.1 per hour.

Senior Software Engineer- Big Data & MCP, Data Foundations

RevSpring, Inc.

Portland, OR • On-site

$121K - $145K/yr

Full-time

Re-posted 21 days ago


Job description

Job Title: Senior Software Engineer- Big Data & MCP, Data Foundations
Job Summary:
Essential Functions:
  • Collaborate and Innovate: Partner with product managers, data engineers, and business leaders to translate complex product and data requirements into scalable, reliable data pipelines and the search experiences they power.
  • Architect Data Pipelines: Design, build, and optimize large-scale distributed batch and streaming pipelines (using Apache Airflow, Apache Beam/Dataflow, and DBTon BigQuery) to ingest, model, and transform high-volume healthcare data into clean, well-tested, query-ready datasets and search indices.
  • Build Data Models & Backend Services: Develop resilient Python services and DBT models that power data delivery and self-service analytics, including Model Context Protocol (MCP) servers that expose curated data and tooling to downstream and AI consumers, and integrate with external REST/SOAP APIs and third-party data sources.
  • Optimize Data & Search Performance: Deeply tune pipeline throughput, data warehouse performance, and search indexing - optimizing BigQuery cost and query performance and Elasticsearch index design to ensure data freshness, relevance, and scalability across high-volume datasets.
  • Drive Engineering Excellence: Write clean, maintainable, well-tested code and lead by example through rigorous code reviews, architectural and data-modeling design discussions, and mentoring, driving a culture of high-quality software and trustworthy data.
  • Pioneer New Technologies: Stay at the forefront of modern data engineering, the analytics-engineering ecosystem (e.g., DBT, BigQuery), and information retrieval, proactively applying these advancements to strengthen our data platform and the products it powers.

Minimum Requirements:
Specific Job Skills:
  • Data Engineering: Proven experience designing and orchestrating large-scale ETL/ELT pipelines using Apache Beam/Google Cloud Dataflow (or similar), and DBT, built on modern cloud data warehouses. BigQuery experience is a plus.
  • Databases & SQL: 4+ years of experience working with relational databases and analytical data warehouses, with deep, advanced SQL skills and solid data-modeling fundamentals (e.g., dimensional and normalized modeling).
  • Search & Indexing: Working experience with search indexing and Elasticsearch, including index management, mappings, and building and maintaining search indices from pipeline output. Familiarity with hybrid (BM25 + semantic/vector) search is a plus.
  • Backend & Data Services: Experience building scalable Python services and high-performance data APIs, including developing Model Context Protocol (MCP) servers that expose data and tooling to downstream and AI consumers.
  • Infrastructure & DevOps: Strong understanding of containerization (Docker), CI/CD methodologies (e.g., GitHub Actions), Git, Infrastructure as Code (e.g., Terraform/Pulumi), and managing services within cloud platforms (3+ years of GCP experience preferred).
  • Familiarity with healthcare data standards (e.g., NPPES/NPI registries, NUCC Provider Taxonomy, machine-readable files (MRFs) for cost transparency, and FHIR).
  • Experience with data quality and pipeline testing frameworks (e.g., dbt tests, Great Expectations) and streaming/event ingestion (e.g., Pub/Sub, Kafka).
  • Experience integrating graph-based data and healthcare taxonomy ontologies to enrich datasets and search query context.
  • Experience with observability and logging platforms (e.g., DataDog) for monitoring pipeline health and data freshness.

Education: Bachelor's Degree
Experience: 5+ years of professional experience with Python, with strong software-engineering fundamentals (testing, code review, design). 3+ years experience with Java or another JVM language is also high desired, particularly for Beam/Dataflow.
Supervision: N/A
Certifications: N/A
Language Skills:
Ability to read, analyze and interpret general business periodicals, professional journals, technical procedures or governmental regulations. Ability to write reports, business correspondence and procedure manuals. Ability to effectively present information and respond to questions from a variety of both internal and external sources.
Physical Capabilities: Standard categories
The physical capabilities described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
While performing the duties of this job, the employee is regularly required to sit; use hands to finger, handle, or feel; reach with hands and arms; and talk or hear. The employee is occasionally required to stand and walk. The employee must occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus.
RevSpring is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Note: This Job Description may not describe all of the job responsibilities and standards assigned to this position. The duties may change from time to time. RevSpring does not discriminate against any group in hiring or employment practices. Nothing in this job description constitutes a contract for employment.