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Data Wrangler Jobs in Oregon (NOW HIRING)

SOSi

Senior Data Scientist

OR · On-site +1

Proficient in deep learning, supervised and unsupervised learning techniques, data wrangling, and feature engineering. * Experience with data provenance tracking, model explainability, and bias ...

SOSi

Senior Data Scientist

OR · On-site

Proficient in deep learning, supervised and unsupervised learning techniques, data wrangling, and feature engineering. * Experience with data provenance tracking, model explainability, and bias ...

Pwc

AI & GenAI Data Scientist - Manager

Portland, OR

$99K - $232K/yr

Your work will involve designing AI systems, data wrangling, and software implementation to enable AI models to be useful and scalable. You will also identify opportunities that contribute to the ...

Varsity Tutors

Data Science Tutor

Eugene, OR · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

OR · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

Portland, OR · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Pwc

AI Engineer

Portland, OR · On-site

$55K - $187K/yr

In this role, you will design AI systems, engage in data wrangling, and implement software to make AI models useful and scalable. You will be expected to anticipate the needs of your teams and ...

Pwc

AI Engineer

Portland, OR · On-site

$50K - $112K/yr

Your work will involve designing AI systems, data wrangling, and software implementation to enable the AI models to be useful and scalable. As an Associate, you will focus on learning and ...

All JobsData Wrangler JobsData Wrangler Jobs in Oregon

Data Wrangler information

See Oregon salary details

$48.6K

$174.5K

$257.4K

How much do data wrangler jobs pay per year?

As of Sep 12, 2026, the average yearly pay for data wrangler in Oregon is $174,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,100.00 and $179,700.00 per year, depending on experience, location, and employer.

What is a data wrangler?

A Data Wrangler is responsible for collecting, cleaning, and organizing raw data from various sources to make it usable for analysis. They preprocess data by handling missing values, formatting inconsistencies, and eliminating errors to ensure accuracy. Data Wranglers work closely with data analysts and data scientists to prepare structured datasets for insights and decision-making. Their role often involves scripting, automation, and utilizing tools like Python, SQL, and data transformation platforms.

What skills and qualifications are needed to be a data wrangler?

To thrive as a Data Wrangler, you need a strong background in data cleaning, transformation, and analysis, usually supported by a degree in computer science, statistics, or a related field. Familiarity with tools like Python, R, SQL, Excel, and data visualization platforms, as well as knowledge of ETL processes, is typically required. Detail orientation, problem-solving skills, and clear communication are vital soft skills for this role. These skills are important for ensuring that raw data is accurately refined and prepared for meaningful analysis by data scientists and business stakeholders.

What challenges do data wranglers face and how do they navigate them?

Data Wranglers often encounter challenges such as inconsistent or incomplete datasets, merging data from multiple sources, and addressing ambiguous data definitions. To navigate these issues, they work closely with data engineers, analysts, and subject matter experts to clarify data requirements and apply robust validation processes. Effective communication and creative problem-solving are key to diagnosing and resolving data quality issues. By mastering a variety of technical tools and adopting meticulous data documentation practices, Data Wranglers play a crucial role in ensuring that downstream analytics are reliable and actionable.

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

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

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

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

Data Wrangler jobs near you
Infographic showing various Data Wrangler 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 $174,471 per year, or $83.9 per hour.

Senior Data Scientist

OR • On-site, Remote

SOSi
See more jobs at SOSiexternal

Full-time

Re-posted 28 days ago

Key responsibilities

  • Design and implement advanced machine learning models and statistical methods to support forecasting, risk assessment, and decision-making processes.

  • Conduct data provenance tracking, documenting sources, transformations, and lineage for compliance and reporting purposes.

  • Implement sprint-based Agile methodologies to ensure rapid development, backlog management, and alignment with mission requirements.

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.

Apply