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Data Cleaner Jobs in Oregon (NOW HIRING)

Astec Industries

Parts Cleaner - Day Shift

Eugene, OR · On-site

As our industry evolves, we are using new technology and data like never before. We're looking for ... Deliverables & Responsibilities • Clean and prepare production areas. • Assist other workers on ...

Astec Industries

Parts Cleaner - Day Shift

Eugene, OR · On-site

As our industry evolves, we are using new technology and data like never before. We're looking for ... Deliverables & Responsibilities · Clean and prepare production areas. · Assist other workers on ...

Fieldwire

Data Engineer

OR · On-site +1

$120K - $150K/yr

Implement and maintain ETL/ELT workflows that extract, transform, and load data into clean, analytics-ready formats * Partner with Data Insights Managers and business stakeholders to translate ...

Instacart

Senior Data Scientist

OR · On-site +1

... data into clean, analysis-ready datasets. You'll apply causal inference methods such as geo holdouts and difference-in-differences to evaluate campaign effectiveness, partnering closely with ...

A-dec, Inc.

Data Engineer, Staff

Newberg, OR · On-site

$120K - $144K/yr

General data manipulation skills: read in data, process, and clean it, transform, and recode it, merge different data sets together, reformat data between wide and long, etc. * Ability to learn new ...

A-dec, Inc.

Data Engineer, Staff

Newberg, OR · On-site

$120K - $144K/yr

General data manipulation skills: read in data, process, and clean it, transform, and recode it, merge different data sets together, reformat data between wide and long, etc. * Ability to learn new ...

Tempus

Senior Data Analyst

OR · On-site +1

$90K - $125K/yr

Experience with data manipulation, cleaning, and visualization * Excellent communication skills with demonstrated ability to communicate with diverse audiences * Ability to take ownership of ...

Five9

Vice President, Data Science

OR · On-site +1

Expertise in large-scale data collection, labeling, cleaning, and curation pipelines, preferably with conversational or unstructured text data. * Familiarity with tools and techniques for data ...

MetroSys

Data Center Technician I

Portland, OR · On-site

Maintain a clean, organized, and secure data center environment. Required Qualifications * 0-2 years of experience in IT support, desktop support, or data center operations. * Basic understanding of:

MetroSys

Data Center Technician I

Portland, OR · On-site

$20 - $30/hr

Maintain a clean, organized, and secure data center environment. Required Qualifications * 0-2 years of experience in IT support, desktop support, or data center operations. * Basic understanding of:

MetroSys

Data Center Technician I

Portland, OR · On-site

$20 - $30/hr

Maintain a clean, organized, and secure data center environment. Required Qualifications * 0-2 years of experience in IT support, desktop support, or data center operations. * Basic understanding of:

A-dec, Inc. (USA)

Data Engineer, Staff

Newberg, OR · On-site

$150 - $200/hr

General data manipulation skills: read in data, process, and clean it, transform, and recode it, merge different data sets together, reformat data between wide and long, etc. * Ability to learn new ...

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All JobsData Cleaner JobsData Cleaner Jobs in Oregon

Data Cleaner information

See Oregon salary details

$8

$23

$68

How much do data cleaner jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for data cleaner in Oregon is $23.95, according to ZipRecruiter salary data. Most workers in this role earn between $12.95 and $24.94 per hour, depending on experience, location, and employer.

What is a data cleaner?

Data Cleaners are professionals who specialize in identifying and correcting errors, inconsistencies, and inaccuracies in datasets to ensure the information is accurate, complete, and ready for analysis. Their work involves tasks such as removing duplicate records, filling in missing values, standardizing formats, and validating data against predefined rules. Data Cleaners play a crucial role in maintaining data quality, which is essential for reliable data analysis and decision-making in organizations.

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

To excel as a Data Cleaner, you need a solid understanding of data management principles, attention to detail, and proficiency in data analysis, often supported by a degree in a quantitative field. Familiarity with data cleaning tools such as Microsoft Excel, Python (Pandas), SQL, and sometimes specialized ETL software is typically required. Strong problem-solving skills, patience, and the ability to communicate data issues clearly set outstanding Data Cleaners apart. These skills ensure that data is accurate, consistent, and reliable, which is crucial for effective analysis and business decision-making.

What are some typical challenges faced by data cleaners when working with large datasets, and how can they be addressed?

Data Cleaners often encounter challenges such as inconsistent data formats, missing values, and duplicate records, especially when handling large datasets from multiple sources. Addressing these issues requires a solid understanding of data validation techniques and the use of specialized tools or programming languages like Python or SQL. Collaboration with data analysts or database administrators is also essential to clarify data requirements and resolve complex discrepancies, ensuring the cleaned data meets the organization's standards for analysis and reporting.

What is the difference between Data Cleaner vs Data Analyst?

AspectData CleanerData Analyst
Required CredentialsHigh school diploma or equivalent; some roles may require basic certificationsBachelor's degree in data science, statistics, or related field
Work EnvironmentData processing centers, offices, remoteOffices, remote, or client sites
Industry UsageData management, IT, business servicesBusiness intelligence, finance, marketing, healthcare
Common Search/ComparisonOften compared for entry-level data rolesMore analytical, interpretative roles

Data Cleaners focus on preparing raw data by removing errors and inconsistencies, ensuring data quality. Data Analysts interpret cleaned data to generate insights and support decision-making. While both roles work with data, Data Cleaners handle data preparation, whereas Data Analysts analyze data to provide strategic recommendations.

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

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

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

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

Data Cleaner jobs near you
Infographic showing various Data Cleaner 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 $49,806 per year, or $23.9 per hour.

BigData Engineer / Architect

Portland, OR • On-site

Nitor Infotech
See more jobs at Nitor Infotechexternal

Full-time

Re-posted 27 days ago

Job description

Company Description

The hunt is for a strong Big Data Professional, a team player with the ability to manage effective relationships with a wide range of stakeholders (customers & team members alike). Incumbent will demonstrate personal commitment and accountability to ensure standards are continuously sustained and improved both within the internal teams, and with partner organizations and suppliers.

Role: Big Data Engineer

Location: Portland OR.

Duration: Full Time

Skill Matrix:

Map Reduce - Required
Apache Spark - Required
Informatica PowerCenter - Required
Hive - Required
Apache Hadoop - Required
Core Java / Python - Highly Desired
Healthcare Domain Experience - Highly Desired

      Job Description

      Responsibilities and Duties

      • Participate in technical planning & requirements gathering phases including architectural design, coding, testing, troubleshooting, and documenting big data-oriented software applications.
      • Responsible for the ingestion, maintenance, improvement, cleaning, and manipulation of data in the business's operational and analytics databases, and troubleshoots any existent issues.
      • Implementation, troubleshooting, and optimization distributed solutions based on modern big data technologies like Hive, Hadoop, Spark, Elastic Search, Storm, Kafka, etc. in both an on premise and cloud deployment model to solve large scale processing problems
      • Design, enhance and implement ETL/data ingestion platform on the cloud.
      • Strong Data Warehousing skills, including: Data clean-up, ETL, ELT and handling scalability issues for enterprise level data warehouse
      • Capable of investigating, familiarizing and mastering new data sets quickly
      • Strong troubleshooting and problem-solving skills in large data environment
      • Experience with building data platform on cloud (AWS or Azure)
      • Experience in using Python, Java or any other language to solving data problems
      • Experience in implementing SDLC best practices and Agile methods.
      Qualifications

      Required Skills:

      • Data architecture/ Big Data/ ETL environment
      • Experience with ETL design using tools Informatica, Talend, Oracle Data Integrator (ODI), Dell Boomi or equivalent
      • Big Data & Analytics solutions Hadoop, Pig, Hive, Spark, Spark SQL Storm, AWS (EMR, Redshift, S3, etc.)/Azure (HDInsight, Data Lake Design)
      • Building and managing hosted big data architecture, toolkit familiarity in: Hadoop with Oozy, Sqoop, Pig, Hive, HBase, Avro, Parquet, Spark, NiFi
      • Foundational data management concepts - RDM and MDM
      • Experience in working with JIRA/Git/Bitbucket/JUNIT and other code management toolsets
      • Strong hands-on knowledge of/using solutioning languages like: Java, Scala, Python - any one is fine
      • Healthcare Domain knowledge

      Required Experience, Skills and Qualifications

      Qualifications:

      • Bachelor's Degree with a minimum of 6 to 9 + year's relevant experience or equivalent.
      • Extensive experience in data architecture/Big Data/ ETL environment.
      Additional Information

      All your information will be kept confidential according to EEO guidelines.

      Apply