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Data Cleaning Jobs in Oregon (NOW HIRING)

Varsity Tutors

Data Science Tutor

Portland, OR · Remote

$18 - $40/hr

Guides students through data cleaning with Pandas, exploratory analysis with visualization libraries, building predictive models, conducting statistical tests, and creating compelling data ...

Varsity Tutors

Data Science Tutor

OR · Remote

$18 - $40/hr

Guides students through data cleaning with Pandas, exploratory analysis with visualization libraries, building predictive models, conducting statistical tests, and creating compelling data ...

Varsity Tutors

Data Science Tutor

Eugene, OR · Remote

$18 - $40/hr

Guides students through data cleaning with Pandas, exploratory analysis with visualization libraries, building predictive models, conducting statistical tests, and creating compelling data ...

Varsity Tutors

Data Analysis Tutor

OR · Remote

$18 - $40/hr

Deep knowledge of data collection methods, data cleaning, descriptive statistics, data visualization, spreadsheet analysis, SQL querying, basic statistical inference, pivot tables, and reporting ...

Varsity Tutors

Data Analysis Tutor

Eugene, OR · Remote

$18 - $40/hr

Deep knowledge of data collection methods, data cleaning, descriptive statistics, data visualization, spreadsheet analysis, SQL querying, basic statistical inference, pivot tables, and reporting ...

Varsity Tutors

Data Analysis Tutor

Portland, OR · Remote

$18 - $40/hr

Deep knowledge of data collection methods, data cleaning, descriptive statistics, data visualization, spreadsheet analysis, SQL querying, basic statistical inference, pivot tables, and reporting ...

Stem Xpert

Data Architect

Salem, OR · On-site

$64 - $82.50/hr

Cleans and maintains the database by removing and deleting old data. May evaluate new data sources for adherence to the organization's quality standards and ease of integration. Requires a bachelor ...

Stem Xpert

DATA ARCHITECT

Salem, OR · On-site

$64 - $82.50/hr

Cleans And Maintains The Database By Removing And Deleting Old Data. * May Evaluate New Data Sources For Adherence To The Organization's Quality Standards And Ease Of Integration. * Requires A ...

Hoffman Construction

Data Scientist 1

Lake Oswego, OR · On-site

Collect, clean, and organize structured and unstructured data from various sources. * Perform exploratory data analysis (EDA) to clean/transform data and identify patterns and trends. * Build and ...

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All JobsData Cleaning JobsData Cleaning Jobs in Oregon

Data Cleaning information

See Oregon salary details

$9

$41

$90

How much do data cleaning jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for data cleaning in Oregon is $41.39, according to ZipRecruiter salary data. Most workers in this role earn between $16.78 and $66.17 per hour, depending on experience, location, and employer.

What is a data cleaning?

A Data Cleaning job involves identifying and correcting errors, inconsistencies, and inaccuracies in datasets to ensure high-quality data for analysis. This process includes removing duplicate records, filling in missing values, standardizing formats, and eliminating irrelevant or erroneous data. Data cleaning helps improve data accuracy, reliability, and usability for business intelligence, machine learning, and decision-making. Professionals in this role typically work with databases, spreadsheets, and data management tools to refine raw data into a structured and meaningful format.

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

To thrive in Data Cleaning, you need a strong attention to detail, analytical skills, and a solid understanding of data management practices, often supported by training or coursework in data science, statistics, or information technology. Familiarity with tools like Microsoft Excel, SQL, Python (with libraries such as pandas), or specialized data cleaning software is highly valuable. Excellent problem-solving abilities, persistence, and effective communication are important soft skills for identifying and addressing data inconsistencies while collaborating with other team members. These skills are essential to ensure that datasets are accurate, reliable, and ready for analysis, leading to trustworthy business insights.

What are the most common challenges faced by professionals in data cleaning roles?

One of the biggest challenges in data cleaning is dealing with incomplete, inconsistent, or duplicate data from multiple sources, which often requires creative problem-solving and close attention to detail. Communicating with team members to clarify data definitions and intended use is also a frequent part of the job, as misinterpretations can lead to errors. Additionally, deadlines and large datasets can make the role fast-paced, so strong organizational skills and efficiency are important. However, overcoming these challenges offers valuable experience and plays a crucial role in ensuring the success of projects that depend on high-quality data.

What skills are needed for data cleaning?

Data cleaning requires skills in data analysis, attention to detail, and proficiency with tools like Excel, SQL, or data cleaning software. Knowledge of data formats, basic programming (e.g., Python or R), and understanding of data quality principles are also important for effective data cleaning tasks.

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

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

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

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

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

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

What cities in Oregon are hiring for Data Cleaning jobs?

Cities in Oregon with the most Data Cleaning job openings:

Data Cleaning jobs near you
Infographic showing various Data Cleaning job openings in Oregon as of August 2026, with employment types broken down into 81% Full Time, 10% Part Time, and 9% Contract. Highlights an 79% In-person, 5% Hybrid, and 16% Remote job distribution, with an average salary of $86,082 per year, or $41.4 per hour.

Data Science Tutor

Varsity Tutors

Portland, OR • Remote

$18 - $40/hr

Part-time

Re-posted yesterday

Varsity Tutors rating

5.9

Company rating: 5.9 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

12th of 24 rated private schools and tutoring

Job description

About the Job
The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the flexibility to set your own schedule, earn competitive rates, and make a real impact on students' academic success and understanding. All from the comfort of your home.
Why Join Our Platform?
  • Earn incrementally higher pay for each session with the same student, reaching up to $40/hour.
  • Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions you conduct and invoice.
  • Set your own hours and tutor as much as you'd like.
  • Tutor remotely using our purpose-built Live Learning Platform. No commuting required.
  • Get matched with students best-suited to your teaching style and expertise.
  • Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson generation, and engagement features, helping you save prep time and focus on impactful teaching.
  • We handle the logistics—you just invoice for your tutoring sessions, and we take care of payments.

What We Look For In a Data Science Tutor
  • Advanced Subject Mastery: 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-driven insights. Ability to explain probability distributions, regression analysis, A/B testing, and data pipeline design while preparing students for data science roles, analytics careers, and graduate programs.
  • Conceptual Teaching & Problem-Solving: Skilled at teaching the full data science workflow from question formulation through insight communication. Guides students through data cleaning with Pandas, exploratory analysis with visualization libraries, building predictive models, conducting statistical tests, and creating compelling data presentations. Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics.
  • Curriculum Awareness & Adaptive Instruction: Familiar with data science curricula and bootcamp programs, and common challenges such as data cleaning complexity, selecting appropriate statistical tests, and communicating technical findings to non-technical stakeholders. Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows to support students from introductory data literacy through advanced analytics and machine learning implementation.
  • Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain material using multiple approaches, and adapt instruction to meet individual learning needs and styles.
  • Strong communication skills and a friendly, engaging teaching style.
  • Ability to adapt to different learning styles and student needs.

Ways To Connect With Students
  • 1-on-1 Online Tutoring - Provide personalized instruction to individual students.
  • Instant Tutoring - Accept on-demand tutoring requests whenever you're available.

About Varsity Tutors And 1-on-1 Online Tutoring
Our mission is to transform the way people learn by leveraging advanced technology, AI, and the latest in learning science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students receive customized instruction that helps them achieve their learning goals. Our platform is designed to match students with the right tutors, fostering better outcomes and a passion for learning.
Please note: Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West Virginia or Puerto Rico.

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