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Data Cleaning Jobs in Oregon (NOW HIRING)

We collect data where automation is not possible. We count features, take pictures, make videos ... Must have a valid Driver Licence; * Good driving skills and clean driving record; * General car ...

Data Engineer (L5) - Ads

OR ยท On-site +1

$380K - $610K/yr

Create code that is understandable, simple, and clean, and take pride in its beauty. Love freedom and hate being micromanaged. Given context, you're capable of self-direction. Passionate about data ...

Sr. Data Operations Engineer

Beaverton, OR ยท On-site

$119K - $143K/yr

Passion for delivering clean, high-quality, and maintainable code. What's In It For You: * Medical ... data, including any requests to exercise your legal rights referred to at the end of this notice ...

Senior Data Analyst

OR ยท On-site +1

$80/hr

... widgets or a clean, modern API. Our private label offerings help drive revenue and increase ... A Senior Data Analyst at Array will bring foundational knowledge in data analysis and lead our ...

Sr. Data Operations Engineer

Beaverton, OR ยท On-site

$119K - $143K/yr

Passion for delivering clean, high-quality, and maintainable code. What's In It For You: * Medical ... data, including any requests to exercise your legal rights referred to at the end of this notice ...

Director of Data Sourcing

OR ยท On-site +1

$350K/yr

Our proprietary technology identifies, licenses, cleans, and analyzes third-party data that many of the world's largest investment funds and corporations depend on. We are backed by The Carlyle Group ...

The Data Center Technician I is a 24x7x365, market-based position responsible for providing ... Follow safety and fiber cleaning protocols. * Read, understand and perform LOA verification.

The Data Center Technician I is a 24x7x365, market-based position responsible for providing ... Follow safety and fiber cleaning protocols. * Read, understand and perform LOA verification.

We are actively seeking an experienced Data Center Engineer for our Infrastructure Reliability team ... Performing regular maintenance tasks, such as cleaning, inspecting, and replacing components, to ...

Showing results 41-60

Data Cleaning information

See Oregon salary details

$9

$41

$90

How much do data cleaning jobs pay per hour?

As of Sep 2, 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 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:

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.

Driver / Data Collector in Corvallis, OR

TSMG

Corvallis, OR โ€ข On-site

Other

This job post hasย expired 2 days ago.ย Applications are no longer accepted.


Job description

Company description
Service Measure (SM) is a field data collection company founded in 2013 in New York.
We collect data where automation is not possible. We count features, take pictures, make videos, record speech, and scan areas for every detail you need to make more informed decisions. Our field data collection teams are spread across Europe and North America, ready to accept new challenges.
Project objective
The goal of the project is to help collect images of streets, main points of interest and public areas in the USA. The project is performed on cars with 360 cameras mounted on top that image the area around the vehicle and store those images on computers inside the vehicle. Later, this data will be used to enhance one the most popular online maps in the world.
The data collectors will be given specific routes around public streets and areas, specifically targeting commercial districts and historical sites. Due to poor weather conditions some areas will be visited multiple times in order to collect the best quality of imaging. The project is expected to last from 3 to 6 months and will cover different data collection areas.
The ideal candidate enjoys driving, knows well the area, traffic trends, is highly responsible and reliable.
The schedule expected on the project is Monday-Friday, 8 hours/day 40 hours per week. Due to weather downtime, work on weekends is possible.
Requirements
  • Must have a valid Driver Licence;
  • Good driving skills and clean driving record;
  • General car knowledge would be a plus;
  • Enjoys driving, within standard business hours;
  • Available for a minimum of 3 months;
  • Must have private monitored parking space for corporate vehicle;
  • Great communication and reporting skills;
  • Tech savvy (drivers will use Gmail, Google Forms and Google Meet);
  • High level of responsibility;
  • Self-motivated and detail oriented;
  • Must be able to successfully pass a background check (criminal and driving record).

We would be happy to get to know you and your skills better and see how we can support each other's growth.
Please apply and let's meet!
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.