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Data Visualization Engineer Jobs in Oregon (NOW HIRING)

SOSi

Data Scientist

Myrtle Point, OR

Knowledge of data visualization, feature selection, and geospatial analytics is required ... Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing.

Weir Group

Data Analyst

Portland, OR · On-site

... visualization tools such as Power BI (deep knowledge preferred) and Tableau. * Experience working with ERP systems, preferably SAP Nice-to-haves: * Experience with data engineering concepts and tools ...

Weir

Data Analyst

Portland, OR

... visualization tools such as Power BI (deep knowledge preferred) and Tableau. * Experience working with ERP systems, preferably SAP Nice-to-haves: * Experience with data engineering concepts and tools ...

Under Armour

Sr. Data Analytics Engineer

OR · On-site +1

$107K - $128K/yr

... visualization and reporting requirements. * Leverage industry-leading integration and analytics ... Troubleshoot data anomalies with engineering teams. * Work on data transformation, using the ETL ...

Consensus Cloud Solutions

Sr. Data Analyst - Finance

OR · On-site +1

$120K - $130K/yr

You will collaborate with Data Engineering on data pipelines, identifying and solving complex data ... Experience with data visualization and BI tools for creating intuitive dashboards (Tableau strongly ...

Itvjob

Data Analyst Required In United States

Beaverton, OR · On-site

$79 - $100/hr

Work closely with engineers and interact cross functionally with teams including policy, marketing ... Proficiency in data visualization tools such as Tableau, Power BI, or similar is essential. Strong ...

New

Slayden

Senior VDC Engineer

Central Point, OR · Hybrid

$106K - $139K/yr

Integrate survey and reality capture data into VDC workflows to update as-built conditions and ... Advanced Visualization & Scheduling Support * Create 3D visualizations, renderings, and animations ...

Slayden

Senior VDC Engineer

Central Point, OR · Hybrid

$106K - $139K/yr

Integrate survey and reality capture data into VDC workflows to update as-built conditions and ... Advanced Visualization & Scheduling Support * Create 3D visualizations, renderings, and animations ...

Formfactor

Senior Data Analyst - Financial Analytics

OR · On-site +1

$132K - $173K/yr

This role will leverage best practices in data modeling, visualization, and analytics to deliver ... Partner with IT and data engineering teams to improve data infrastructure, data quality, and ...

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Showing results 21-40

All JobsData Visualization Engineer JobsData Visualization Engineer Jobs in Oregon

Data Visualization Engineer information

See Oregon salary details

$47K

$137.1K

$187.7K

How much do data visualization engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for data visualization engineer in Oregon is $137,147.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,100.00 and $145,400.00 per year, depending on experience, location, and employer.

What is a data visualization engineer?

A Data Visualization Engineer is responsible for designing, developing, and implementing visual representations of data to help stakeholders understand complex information. They use tools like Tableau, D3.js, Power BI, and Python libraries (e.g., Matplotlib, Seaborn) to create interactive dashboards and reports. Their role involves working with large datasets, ensuring data accuracy, optimizing performance, and collaborating with analysts and developers to enhance decision-making. Strong programming, data analysis, and UX/UI design skills are essential for success in this role.

What are some common challenges faced by data visualization engineers, and how can they overcome them?

Data Visualization Engineers often encounter challenges such as translating complex data into clear, actionable visuals for non-technical stakeholders and ensuring that graphics remain both accurate and engaging. Balancing the needs of different departments, adhering to fluctuating project requirements, and managing large or messy datasets can also be demanding. Successful engineers address these issues by working closely with data analysts, business users, and designers, using feedback to iterate on their work, and staying current with the latest visualization best practices. Proactive communication and strong organization skills further help in meeting deadlines and maintaining quality standards.

What are the key skills and qualifications needed to thrive as a data visualization engineer, and why are they important?

To thrive as a Data Visualization Engineer, you need a strong grasp of data analysis, visual storytelling, and programming, often supported by a degree in computer science, data science, or a related field. Familiarity with tools like Tableau, Power BI, D3.js, and proficiency in languages such as Python or JavaScript are commonly required, along with experience in databases and dashboard development. Strong communication, problem-solving, and collaboration skills help you effectively transform and present complex data to diverse audiences. These abilities are crucial for creating impactful, user-friendly visualizations that drive informed business decisions.

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

The most popular types of Data Visualization Engineer jobs in Oregon are:

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

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

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

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

What cities in Oregon are hiring for Data Visualization Engineer jobs?

Cities in Oregon with the most Data Visualization Engineer job openings:

Data Visualization Engineer jobs near you
Infographic showing various Data Visualization Engineer 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 $137,147 per year, or $65.9 per hour.

Data Scientist

SOSi

Myrtle Point, OR

Full-time

Re-posted 3 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 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.