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Data Integration Jobs in Oregon (NOW HIRING)

Senior Data Architect

Odell, OR ยท On-site

$69 - $92.25/hr

Establish robust data governance, data management, enterprise data models across domains, data integration patterns, data quality, data privacy ensuring data consistency, accuracy, and integrity ...

Coordinate data integration and interoperability across all enterprise data systems to ensure seamless data exchange in support of the MHS GENESIS mission * Maintain data standards across all ...

Senior/Principal Data Engineer

OR ยท On-site +1

$125K - $172K/yr

Key Responsibilities EHR & Partner Integrations * Architect production-grade data pipelines that integrate clinical data through multiple channels-direct EHR connections (e.g., Epic, Cerner ...

... integrate, and sustain a scalable, federated data ecosystem that enhances interoperability ... governance, and mission-driven analytics for a DoD customer. The primary objective of the program ...

Senior Data Scientist

OR ยท On-site +1

... integrate, and sustain a scalable, federated data ecosystem that enhances interoperability ... governance, and mission-driven analytics for a DoD customer. The primary objective of the program ...

Data Visualization Engineer

Beaverton, OR ยท On-site

$120K - $145K/yr

Required : โ€ข Minimum 5-6 years of experience โ€ข Strong background in data and visualization engineering โ€ข Proficiency in Python for coding and data integration โ€ข Expertise in SQL for querying ...

OR ยท On-site

$135K - $203K/yr

The ideal candidate will have strong expertise in HL7 standards, healthcare data workflows, and integration engines, ensuring accurate, secure, and compliant data exchange across systems. Key ...

Senior Data Engineer II, Finance

OR ยท On-site +1

$105K - $143K/yr

These systems must also support tight integration with the largest retailers in the US and Canada ... Finance data engineering is part of the Data Infrastructure team, working closely with accounting ...

Data Engineer - Databricks

Beaverton, OR ยท On-site

$119K - $143K/yr

Implement data integration and transformation processes across various enterprise data sources. * Work with cloud platforms such as Azure, AWS, or GCP , with preference for Azure . * Develop and ...

Data Engineer - Databricks

Beaverton, OR

$119K - $143K/yr

Implement data integration and transformation processes across various enterprise data sources. * Work with cloud platforms such as Azure, AWS, or GCP , with preference for Azure . * Develop and ...

Data Engineer - Databricks

Beaverton, OR ยท On-site

$119K - $143K/yr

Implement data integration and transformation processes across various enterprise data sources. * Work with cloud platforms such as Azure, AWS, or GCP , with preference for Azure . * Develop and ...

Data Solutions Engineer

OR ยท On-site +1

$114K - $137K/yr

You'll be the dedicated technical owner for customer-facing data workflows, integrations, and AI-driven automation, while working across a book of customers to understand their data problems and ...

The DATA ENGlNEER also develops and maintains data APIs, ETL processes, and data integration systems. * Design, build, and maintain data pipelines and data processing systems. * Develop and maintain ...

Principal Data Steward

Salem, OR ยท On-site

$7.5K - $11K/mo

You will build the Oregon Data Stewards Council and work with agency partners to identify vital data elements and build data standards and practices that allow for data integration, sharing, and ...

Sr. Data Engineer

OR ยท On-site +1

$100K - $150K/yr

Integrate complex financial APIs and third-party data sources into internal systems * Collaborate with analytics, product, and ML engineers to develop and deploy reliable data products * Work on ...

System Integrator

Bend, OR ยท On-site

$73K - $91K/yr

Use plant controls fundamentals to capture all data for integration * Use provided tools, code, and scripts within the SCADA platform to map site data within the SOLV development environment ...

Showing results 21-40

Data Integration information

See Oregon salary details

$10

$54

$88

How much do data integration jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for data integration in Oregon is $54.64, according to ZipRecruiter salary data. Most workers in this role earn between $46.01 and $61.49 per hour, depending on experience, location, and employer.

What is a data integration?

A Data Integration job involves combining data from different sources into a unified view for analysis, reporting, and operational use. Professionals in this role design, develop, and maintain data pipelines to ensure seamless data flow between systems. They often work with ETL (Extract, Transform, Load) processes, APIs, and cloud platforms to facilitate integration. Strong skills in SQL, data modeling, and tools like Informatica, Talend, or Apache Nifi are commonly required. Their goal is to ensure data accuracy, consistency, and availability for business and analytical use.

What are the typical daily responsibilities of someone working in data integration?

Data Integration professionals are often responsible for designing, developing, and maintaining ETL pipelines that transfer and transform data between different systems. Their day-to-day tasks may include analyzing data sources, troubleshooting data inconsistencies, optimizing integration workflows, and creating documentation for data processes. Collaboration is frequent, as they work closely with database administrators, data analysts, and business stakeholders to ensure data accuracy and availability. Staying updated with evolving tools and best practices also forms a key part of their ongoing responsibilities.

What are the key skills and qualifications needed to thrive in data integration, and why are they important?

To thrive as a Data Integration professional, you need strong knowledge of data management principles, proficiency in SQL, ETL processes, and experience with data warehousing concepts, often supported by a bachelor's degree in computer science or a related field. Familiarity with integration platforms such as Informatica, Talend, or Microsoft SSIS, as well as certifications like Certified Data Management Professional (CDMP), are commonly beneficial. Excellent problem-solving, communication, and collaboration skills help manage complex projects and liaise with stakeholders across technical and business teams. These abilities are crucial for ensuring seamless, accurate data flow that supports informed business decisions and operational efficiency.

How to become a data integration specialist?

To become a data integration specialist, you typically need a bachelor's degree in computer science, information technology, or a related field. Gaining experience with data management, ETL tools, and programming languages like SQL, Python, or Java is essential, along with knowledge of database systems and data warehousing. Certifications such as Certified Data Management Professional (CDMP) or vendor-specific credentials can enhance job prospects.

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

The most popular types of Data Integration jobs in Oregon are:

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

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

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

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

What cities in Oregon are hiring for Data Integration jobs?

Cities in Oregon with the most Data Integration job openings:

Infographic showing various Data Integration job openings in Oregon as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 67% Full Time, 29% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $113,659 per year, or $54.6 per hour.

Senior Data Architect

Odell, OR โ€ข On-site

Montefiore
Health Care and Social Assistanceย โ€ขย 501 - 1,000 employees

$69 - $92.25/hr

Full-time

Re-posted 3 days ago


Key responsibilities

  • Design and architect Montefiore's AI-ready data Lakehouse and define modern data architecture patterns.

  • Establish enterprise-wide data strategy, governance, and standards to support clinical and operational data needs.

  • Collaborate with data teams to develop scalable data solutions, enable AI and advanced analytics, and ensure data security and compliance.


Job description

City/State:

Yonkers, New York

Grant Funded:

No

Department:

D&A - Data & Analytics

Work Shift:

Day

Work Days:

MON-FRI

Scheduled Hours:

9 AM-5:30 PM

Scheduled Daily Hours:

7.5 HOURS

Pay Range:

$160,000.00-$200,000.00

Montefiore is ranked among the top hospitals nationally and regionally by U.S. News & World Report. For more than 100 years we have been innovating new treatments, procedures, and approaches to patient care, producing stellar outcomes and raising the bar for academic medical centers in the region and around the world. Our work to improve health outcomes in underserved communities is unparalleled in the United States. Our workforce is among the most diverse in the US: Montefiore associates speak 60+ languages.

As Montefiore has built paths to deliver lifesaving health outcomes to underserved communities, we are looking to the future of being a data driven organization and tech-enabled care delivery to create better experiences for patients, providers, and operations teams. Montefiore is actively investing in its data & analytics driven solutions as a new system-level priority, and we are seeking data experts who are excited to create a tangible impact with the healthcare system.

The hands-on Senior Data and AI Architect within the Data & Analytics vertical will play a pivotal role at the forefront of our data and analytics technology transformation initiatives. This role will be responsible for designing and architecting Montefiore's AI-ready data Lakehouse, defining modern data architecture patterns, establishing enterprise-wide data strategy, governance, and integration standards to support business cases across the health system. This role will work with designing and architecting complex data solutions in a fast-paced, rapidly evolving landscape answering critical business and clinical questions.

This role is also critical to scaling our data and insights capabilities, empowering teams with actionable insights, and supporting our mission to improve Patient healthcare.

Responsibilities include:

Modern Data Strategy & Roadmap

Define and drive the vision, Montefiore data strategy, and roadmap for the enterprise data architecture, aligning with Montefiore business objectives.

Data Architecture Leadership: Establish robust data governance, data management, enterprise data models across domains, data integration patterns, data quality, data privacy ensuring data consistency, accuracy, and integrity across all systems and departments.

Create multi-year architecture and modernization roadmaps.

Evaluate and recommend technologies, tools, and platforms for data engineering, analytics, and AI enablement.

Provide thought leadership on emerging data and AI trends.

Enterprise Data & AI Architecture

Design and implement an AI-ready data Lakehouse architecture supporting structured, semi-structured, and unstructured data.

Define modern data architecture patterns (e.g., medallion architecture, data mesh, data fabric, domain-driven data design).

Establish scalable, cloud-native data platforms optimized for advanced analytics, ML, and generative AI workloads.

Develop reference architectures, technical standards, and best practices for enterprise adoption.

This hands-on role will build and deliver highly performant and scalable data products across clinical, operational and other functional areas enabling data driven decision making across the health system.

Provide thought leadership & strategic thinking to design and enablement of Montefiore's next generation data eco-system.

Lead our enterprise data initiatives to ensure single, accurate, and consistent view of metrics across data domains, including standard definitions for our clinical, operational and administrative needs.

AI Enablement & Advanced Analytics

Architect data platforms that support ML lifecycle management, feature stores, model training, and inference.

Enable data pipelines optimized for real-time, batch, and streaming workloads.

Ensure data readiness for LLMs, generative AI, and advanced AI use cases.

Collaborate with Data Scientists and ML Engineers to operationalize AI models at scale.

Help ensure security, privacy and compliance for all data assets.

Collaborate with data product managers, business and analytic stakeholders to translate business needs to practical and scalable data solutions

Collaborate with data engineers, product managers, data scientists, BI developers and application teams, to understand data requirements and translate them into technical solutions

Serve as a trusted advisor to senior leadership on data and AI architecture decisions.

Mentor and guide data engineers, architects, and analytics teams.

Lead architecture reviews and ensure alignment with enterprise IT strategy.

Drive cross-functional collaboration across business and technology teams.

Qualifications include:

12+ years of experience in modern Data Architecture, Data Modeling, Data Acquisition, Data Integration, Data Lake or Data Lakehouse, Data Warehousing, Data Products, Data Governance and Data Standardization

Deep expertise in translating complex clinical, operational and administrative datasets into enterprise-grade data products, data modeling techniques and performance analysis & tuning.

Experience with initiatives that enable scalable and efficient data architectures that can handle large volumes and varieties of data, including data warehousing and data lakes

Minimum 4+ years of strong experience in Snowflake, SQL, Oracle and SQL Server

Experience with cloud-based ELT Toolsets like Matillion, dbt cloud and Python

Familiarity with ML/AI platforms, MLOps frameworks, and feature engineering pipelines.

Experience with cloud providers preferably AWS

Understanding of data security protocols, encryption standards, data privacy and protection regulations, and best practices in access management

Knowledge in healthcare preferably in a health system domain Experience with EPIC Cogito Analytics stack (Clarity, Caboodle etc.)

Bachelor's or master's degree in computer science, Engineering or similar

Competencies include:

Ability to think strategically and drive structured execution

Structured, linear thinker that can conduct business outcome diagnostics and identify highest value business opportunities

Strong facilitation skills to help business leaders identify their most important business questions

Exhibits excellent judgment, especially when working with ambiguity. Sets stretch goals and works to exceed goals with a focus for results.

Has the innate ability to gain the confidence of and build strong relationships with executives, peers, management and subordinates alike.

Excellent business-facing presentation skills.

#SF-DICE-MIT

#LI-SC

Montefiore Health System, Inc. is an equal employment opportunity employer. Montefiore Health System, Inc. will recruit, hire, train, transfer, promote, layoff and discharge associates in all job classifications without regard to their race, color, religion, creed, national origin, alienage or citizenship status, age, gender, actual or presumed disability, history of disability, sexual orientation, gender identity, gender expression, genetic predisposition or carrier status, pregnancy, military status, marital status, or partnership status, or any other characteristic protected by law.