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Data Cleaner Jobs in Oregon (NOW HIRING)

Higher Logic

Associate Data Solutions Engineer

OR · Remote

$114K - $137K/yr

Write clean, efficient, and reusable SQL and Python code to transform raw data into business-ready outputs. * Collaborate with analytics and business stakeholders to understand data requirements and ...

Introl

Data Center Technician

Portland, OR · On-site

$30 - $36/hr

... clean room standards and proper electrostatic discharge procedures Required Qualifications Technical Skills 2+ years of experience in data center operations or hardware deployment Strong knowledge of ...

Array

Senior Data Analyst

OR · 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 ...

Netflix

OR · On-site

$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 ...

SugarAI

OR · On-site

$114K - $137K/yr

You will work closely with ML engineers, product teams, and the Enterprise Architecture team to ensure the data backbone behind Sugar Predict is always fast, clean, and ready to deliver at a global ...

LMI

Data Engineer (Vantage) - Clearance Required

$101K - $174K/yr

Develop and refine "Objects" (e.g., Soldiers, Equipment, Units) and their relationships to ensure a clean, accurate digital representation of Army operations. * Data Hygiene: Assist with the cleanup ...

Netflix

OR

$372K - $600K/yr

Work closely with data science and engineering stakeholders to act as a strategic thought partner ... clean maintainable engineering code. Curiosity to learn new statistics, methods, optimization ...

LMI

Data Engineer (Vantage) - Clearance Required

$101K - $174K/yr

Develop and refine "Objects" (e.g., Soldiers, Equipment, Units) and their relationships to ensure a clean, accurate digital representation of Army operations. * Data Hygiene: Assist with the cleanup ...

YipitData (Alternative)

Director of Data Sourcing

OR · 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 ...

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Data Cleaner information

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How much do data cleaner jobs pay per hour?

As of Jul 16, 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 are Data Cleaners?

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 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 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 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
Associate Data Solutions Engineer

Associate Data Solutions Engineer

Higher Logic

OR • Remote

$114K - $137K/yr

Other

Medical, Retirement

Posted 27 days ago

Job description

About Higher Logic: 

Higher Logic exists to connect people, knowledge, and ideas to improve lives and organizations. Through our community solutions, we empower growth-stage businesses and associations to build a more engaged and meaningful relationship with their customers and members. Higher Logic serves more than 3,000 customers, representing over 350,000 online communities with greater than 200 million users in more than 42 countries worldwide. 

Our team is a thriving community of authentic people with diverse experiences and perspectives. We are honest and genuine and believe that sharing ideas and feedback openly helps us to be successful. We believe that diversity and empathy bring us #AllTogether to make us stronger. We learn from failure and successes because both help us to grow and learn. We strive to understand the why behind our actions and bring our best selves to work every day. 

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JOB SUMMARY

The Associate Data Solutions Engineer supports Higher Logic's strategic data initiatives by designing, developing, and scaling data pipelines and models that enable analytics, business intelligence, and AI workflows, using both structured and unstructured data. This role is critical in building our data warehouse and enabling AI capabilities across the organization and reports directly to the Chief Data Officer. The engineer works closely with internal stakeholders across departments to ensure data is reliable, accessible, and actionable for both operational and strategic use.

ESSENTIAL DUTIES AND RESPONSIBILITES:

  • Build and maintain scalable ETL/ELT pipelines to ingest structured and unstructured data into the data warehouse.
  • Develop and optimize data models to support reporting, dashboards, and operational insights.
  • Write clean, efficient, and reusable SQL and Python code to transform raw data into business-ready outputs.
  • Collaborate with analytics and business stakeholders to understand data requirements and deliver practical solutions.
  • Monitor pipeline performance and ensure reliability, accuracy, and timeliness of data flows.
  • Design frameworks for triggering AI workflows based on business rules and data events.
  • Serve as a subject matter expert on data best practices, including schema design, data governance, and data security.
  • Partner with cross-functional teams to align data assets with enterprise goals, AI enablement, and automation strategies.
  • Drive adoption of new data tools and methodologies, such as DBT, Iceberg, or similar modern data stack technologies.
  •  All other duties as assigned.

KNOWLEDGE AND ABILITIES REQUIRED:

  • Proficiency in SQL and Python for data processing and transformation.
  • Familiarity with modern data warehousing tools (e.g., DBT, Iceberg, Databricks, or similar).
  • Experience working with both structured and unstructured data sources.
  • Understanding of data quality, observability, and monitoring principles.
  • Strong communication and collaboration skills to support cross-functional work.
  • Ability to work independently and adapt to evolving data needs.

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You'll earn: 

  • Competitive compensation.
  • Comprehensive health benefits package. 
  • 401(k) plan with employer match. 
  • Healthcare and dependent-care flexible spending account. 
  • Company short-term and long-term disability insurance. 
  • Company culture that recognizes its employees. 
  • Room for growth and development and management that cares about your professional growth and will help you achieve your goals. 
  • Significant advancement opportunities for outstanding performers. 

Apply