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Data Integration Jobs in Oregon (NOW HIRING)

SOSi

Data Scientist

Myrtle Point, OR

SOSi is seeking a Data Scientist to support mission requirements for a structured approach to ... The contractor shall integrate customer feedback into model iteration cycles, leveraging Agile ...

Roseburg

BI Data Engineer

Springfield, OR · On-site

Lead the design, development, and maintenance of data integration, services, etc. to provide the right data to the right place at the right time * Ensure designed systems are highly reliable, self ...

Montefiore

Senior Data Architect

Odell, OR

$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 ...

Waymark

Senior/Principal Data Engineer

OR · On-site +1

$125K - $172K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

SOSi

Senior Data Scientist

OR · 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 ...

SOSi

Senior Data Scientist

Myrtle Point, OR

... 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 ...

MDAEdge

Data Visualization Engineer

Beaverton, OR · On-site

$120K - $145K/yr

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

Pwc

Data Engineer - Manager

Portland, OR · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Enhancing your leadership style, you motivate, develop and inspire others ...

Thermo Fisher Scientific

OR

$135K - $203K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Instacart

Senior Data Engineer II, Finance

OR · 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 ...

New

Potawatomi Federal Solutions, LLC

Collaborate with cross-functional teams to design integration solutions that align with business ... Familiarity with data integration, ETL processes, and middleware solutions Ability to obtain a U.S ...

Core4ce Careers

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Utilize integrated development environments, data integration, data visualization, data mining, and analysis tools * Maintain and guide the development of common libraries and tools used by multiple ...

New

Standard Metrics

Data Solutions Engineer

OR · 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 ...

Munich Re

Data and AI Enterprise Architect

Eugene, OR · On-site

  • Medical

  • Life

  • Retirement

  • PTO

Data Modeling, Data Integration, Analytics and AI lifecycle management * Collaborate closely with Business Solutions teams, Technology Architects, and Enterprise Data Architects across initiatives ...

Munich Re

Data and AI Enterprise Architect

Gresham, OR

  • Medical

  • Life

  • Retirement

  • PTO

Data Modeling, Data Integration, Analytics and AI lifecycle management * Collaborate closely with Business Solutions teams, Technology Architects, and Enterprise Data Architects across initiatives ...

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Showing results 21-40

All JobsData Integration JobsData Integration Jobs in Oregon

Data Integration information

See Oregon salary details

$10

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How much do data integration jobs pay per hour?

As of Aug 19, 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:

Data Integration jobs near you
Infographic showing various Data Integration 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, with an average salary of $113,659 per year, or $54.6 per hour.

Data Scientist

SOSi

Myrtle Point, OR

Full-time

Re-posted yesterday

Job description

Company Description

Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.

Job Description

SOSi is seeking a Data Scientist to support mission requirements for a structured approach to further develop, 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 is to bridge the operational gaps between DoD, IC, interagency, and non-traditional international partners to enable real-time information sharing, dynamic data integration, and mission-tailored analytical capabilities.

Essential Job Duties:

  • The contractor shall develop and refine predictive models, conduct exploratory data analysis, and generate AI-driven insights to enhance intelligence and operational planning.
  • The contractor shall integrate customer feedback into model iteration cycles, leveraging Agile development methodologies to maintain responsiveness to mission requirements.
  • The contractor shall submit the Predictive Model Performance Report, documenting key findings, model accuracy metrics, and operational impact assessments.
  • The contractor shall implement sprint-based Agile methodologies, ensuring rapid development cycles, backlog grooming, and alignment with mission requirements.
  • The contractor shall provide a Rough Order of Magnitude (ROM) Estimate Report before each analytics project, detailing expected Full-Time Equivalent (FTE) hours, compute costs, storage consumption, and infrastructure requirements.
  • The contractor shall conduct quarterly reviews to track cost efficiency, assess system performance, and optimize analytic workflows through the Quarterly Cost & Resource Utilization Report.
Qualifications
  • Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field, or;
    • seven (7) years of equivalent experience in machine learning and predictive modeling. 
  • Proposed personnel possess the knowledge and capability to develop and refine predictive models, analyze large-scale datasets, and document analytic processes.
  • Proficient in data mining, statistical modeling, and AI-driven forecasting techniques, with experience in working with structured and unstructured data sources.
  • Knowledge of data visualization, feature selection, and geospatial analytics is required.
  • Personnel must be capable of integrating data from multiple sources, ensuring model accuracy, and working within an Agile sprint cycle to deliver iterative improvements.
  • Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing. Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required.
  • Personnel must have experience in cloud-based AI/ML tools, such as AWS SageMaker or Azure Machine Learning, and in implementing models into operational workflows.

Preferred Qualifications:

  • Desirable but not required certifications include AWS Certified Data Analytics – Specialty, Microsoft Certified: Azure AI Fundamentals, or Certified Data Scientist (CDS).

Additional Information

Work Environment

  • Full remote flexibility.

Working at SOSi

All interested individuals will receive consideration and will not be discriminated against for any reason.