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Data Integration Jobs in Oregon (NOW HIRING)

SOSi

Senior Data Scientist

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 ...

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 ...

KeyLogic, LLC

$114K - $137K/yr

Leveraging your expertise, you will optimize data workflows and implement best practices for data integration, transformation, and storage. Your contributions will directly impact the efficiency and ...

Pwc

Data Engineer - Manager

Portland, OR · On-site

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 ...

Cordance

OR

Design, develop, and implement data integrations using SQL Server, SSIS, and SSAS * Translate and ... map customer data into our application to ensure accuracy and performance * Serve as a technical ...

Pwc

Data Engineer - Senior Associate

Portland, OR · On-site

$77K - $202K/yr

You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Focused on relationships, you are building meaningful client connections ...

BerryDunn

Senior Healthcare Data Engineer

$105K - $143K/yr

Designing and building data pipelines, warehouses, data integration, and business intelligence solutions. You can be in-office in either Portland, ME or Manchester, NH or potentially remote You Will

Elite Technology

Data Architect

OR · Remote

$153K - $170K/yr

Oversee the implementation of data integration, ETL processes, and data migration strategies. * Design and implement advanced analytics and reporting solutions to support business decision-making.

Thermo Fisher Scientific

OR

$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 ...

Wellbe Senior Medical

Senior Data Engineer

$105K - $150K/yr

You will supervise a team of Data Engineers, Data Integration Specialists and Data Analysts to build scalable, robust analytics systems to solve complex healthcare challenges. SKILLS & COMPETENCIES ...

Cotiviti

$114K - $137K/yr

Develop data transformation specifications to convert source data to be loaded into target data warehouse tables using SQL and other Data Integration/ETL tools. * Support the implementation of data ...

Wellbe Senior Medical

Data Engineer

$90K - $135K/yr

Evaluate and implement data integration technologies and tools to ensure seamless data flow and ... interoperability.Implement processes to monitor and improve data quality through regular data ...

Salesforce, Inc.

OR

$67.25 - $90/hr

Experience with AI-related data integration technologies and concepts, including RAG, vector databases, search indexes, and knowledge bases, specifically how they apply to grounding Agentforce ...

nCino OpCo

OR

$103K - $139K/yr

Understand the data model and design of the product. * Facilitate communication and collaboration ... Evaluate and integrate AI/ML capabilities where appropriate to strengthen product functionality and ...

Wellbe Senior Medical

Data Systems Analyst

$90K - $120K/yr

Job Summary The Data Systems Analyst leads the integration of various healthcare payer data and internal enterprise systems data into WellBe's enterprise data platforms. This role is responsible for ...

Munich Re

Technical Architect - Data, Analytics & AI

Bend, OR · Hybrid

$67.50 - $87/hr

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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All JobsData Integration JobsData Integration Jobs in Oregon

Data Integration information

See Oregon salary details

$10

$54

$88

How much do data integration jobs pay per hour?

As of Jun 25, 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 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 is a Data Integration job?

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 is the highest paying job in data?

In data-related fields, executive roles such as Chief Data Officer (CDO) or Chief Data Scientist tend to be the highest paying, often earning six-figure salaries or more depending on the industry and company size. These roles require extensive experience, leadership skills, and expertise in data strategy, governance, and analytics tools.

Is AI replacing data entry jobs?

AI is automating many data entry tasks by using tools like optical character recognition (OCR) and machine learning algorithms, which can increase efficiency and reduce manual labor. However, data entry jobs that require judgment, accuracy, and handling complex or unstructured data still rely on human workers, and many roles involve oversight and validation of AI outputs.

What does data integration work?

Data integration work involves combining data from different sources into a unified view to support analysis, reporting, or operational processes. Data integration specialists use tools like ETL (Extract, Transform, Load) software and SQL to ensure data consistency, accuracy, and accessibility across systems. This role often requires knowledge of databases, scripting, and data management best practices.

What are the key skills and qualifications needed to thrive in the Data Integration position, 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.

Is data integration a good career?

Data integration is a viable career path involving combining data from different sources to ensure consistency and accessibility. It requires skills in database management, ETL tools, and programming languages like SQL or Python, with opportunities in various industries such as finance, healthcare, and technology. The role often offers steady demand and potential for advancement as organizations increasingly rely on integrated data systems.
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 June 2026, with employment types broken down into 2% As Needed, 62% Full Time, 32% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $113,659 per year, or $54.6 per hour.

Senior Data Scientist

SOSi

OR

Full-time

Posted 9 days ago

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 Senior 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 design and implement advanced ML models and statistical methods to optimize forecasting, risk assessment, and decision-making processes.
  • The contractor shall conduct data provenance tracking, ensuring documentation of sources, transformations, and lineage for compliance with governance policies.
  • The contractor shall submit the Data Provenance & Lineage Report, summarizing transformation workflows, feature engineering processes, and audit compliance.
  • 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
  • Active TS/SCI Clearance.
  • Master's degree in Data Science, Machine Learning, Statistics, or a related field, or;
    • nine (9) years of equivalent experience in AI/ML model development and deployment. 
  • Personnel must have demonstrated experience in building and validating AI/ML models using Python, TensorFlow, PyTorch, or Scikit-learn, integrating models into production environments, and optimizing performance for real-time analytics.
  • Experience with Databricks, Apache Spark, or similar distributed data processing frameworks is required.
  • Experience working with geospatial datasets and integrating AI/ML solutions into mission-critical applications.
  • Possess the knowledge and capability to develop advanced machine learning models and optimize analytic workflows for predictive and prescriptive intelligence.
  • Proficient in deep learning, supervised and unsupervised learning techniques, data wrangling, and feature engineering.
  • Experience with data provenance tracking, model explainability, and bias mitigation in AI/ML applications is required.
  • Personnel must be able to translate operational challenges into analytic solutions, ensuring integration of structured, unstructured, and geospatial data.

Preferred Qualifications:

  • Desirable but not required certifications include Google Professional Machine Learning Engineer, Microsoft Certified: Azure Data Scientist Associate, or TensorFlow Developer Certification.
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.

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