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Data Cleaner Jobs in Pennsylvania (NOW HIRING)

Sarian, Inc.

Data Analyst

Pittsburgh, PA · On-site

Data Cleaning and Preparation: Skills in data cleaning, transformation, and quality assurance. * Data Modeling: Ability to design and implement data models. * Communication and Presentation: Strong ...

InterSources Inc

Data Engineer

Malvern, PA · On-site

$112K - $134K/yr

Push resulting, cleaned datasets into S3 buckets. • External Integration: Manage the secure ... Required : • 5+ years of experience as a Data Engineer • Heavy expertise in the AWS ecosystem ...

Sporting Kansas City

$107K - $129K/yr

The successful candidate will provide key stakeholders with clean, reliable, accessible and actionable data, contributing to the development of SKC's data ecosystem. Sporting Kansas City is an equal ...

PMHCC Inc.

Data & Evaluation Associate

Philadelphia, PA · On-site

$75K - $85K/yr

Clean, manage and integrate data from key system sources -- child welfare, juvenile justice, education, behavioral health and other possible system partners -- to produce short- and long-term outcome ...

Ocugen Inc

Clinical Data Scientist

Malvern, PA · On-site

Collaborate with Biostatistics, Data Management, and Clinical Operations to support data cleaning, reconciliation, and study tracking. * Perform ongoing data review to assess safety, efficacy, and ...

OCUGEN OPCO INC

Clinical Data Scientist

Malvern, PA · On-site

Collaborate with Biostatistics, Data Management, and Clinical Operations to support data cleaning, reconciliation, and study tracking. * Perform ongoing data review to assess safety, efficacy, and ...

Clinical Ink

Data Management Intern

Horsham, PA · On-site

... data cleaning tasks (query management, manual data review, reconciliation etc.). Assist with database lock and archival tasks. Ensure quality and on time completion of all assigned tasks.

ParetoHealth

Data Analyst

Philadelphia, PA · Remote

Experience in data cleaning, validation, and exploratory analysis using large, complex datasets * Understanding of analytical methods, including descriptive statistics, cohort analysis, risk ...

Pinnacle Cleaning

Commercial Cleaner

Altoona, PA · On-site

$11 - $14/hr

Pinnacle provides cleaning services for automotive companies, banks, medical and dental facilities ... data * Must be prompt and professional * Must have reliable transportation to reach client ...

Varsity Tutors

Data Science Tutor

Erie, PA · 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 ...

Pinnacle Cleaning

Commercial Cleaner

Cresson, PA · On-site

$11.75 - $13.75/hr

Must be able to keep information confidential, as we work with financial and medical industry clients who handle sensitive data * Must be prompt and professional Requirements: * Commercial cleaning ...

Pinnacle Cleaning

Commercial Cleaner

Duncansville, PA · On-site

$11 - $14/hr

Pinnacle provides cleaning services for automotive companies, banks, medical and dental facilities ... data * Must be prompt and professional * Must have reliable transportation to reach client ...

Pinnacle Cleaning

Commercial Cleaner

Ebensburg, PA · On-site

$12 - $15/hr

Pinnacle provides cleaning services for automotive companies, banks, medical and dental facilities ... data * Must be prompt and professional * Must have reliable transportation to reach client ...

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Data Cleaner information

See Pennsylvania salary details

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How much do data cleaner jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for data cleaner in Pennsylvania is $21.60, according to ZipRecruiter salary data. Most workers in this role earn between $11.68 and $22.49 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 Pennsylvania?

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

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

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

Data Cleaner jobs near you
Infographic showing various Data Cleaner job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $44,930 per year, or $21.6 per hour.

Data Analyst

Sarian, Inc.

Pittsburgh, PA • On-site

Full-time

Re-posted 10 days ago

Job description

Role: Data Analyst
Location: Pittsburgh, PA
Onsite position
Fulltime Position
*****NO C2C****
JD
  • Data Conditioning - identification of appropriate test data, conditioning of test data as necessary to meet non-functional testing requirements.
  • Statistical Analysis: Proficiency in statistical methods and techniques.
  • SQL: Knowledge of Structured Query Language for database management.
  • Data Visualization Tools: Experience with tools like Tableau, Power BI.
  • Programming Languages: Familiarity with languages like Python or R.
  • Data Cleaning and Preparation: Skills in data cleaning, transformation, and quality assurance.
  • Data Modeling: Ability to design and implement data models.
  • Communication and Presentation: Strong communication and presentation skills to effectively convey findings to stakeholders.
  • Critical Thinking: Ability to analyze data, identify trends, and draw conclusions.
  • Attention to Detail: Accuracy and precision in data analysis and reporting.
  • Data Conditioning - identification of appropriate test data, conditioning of test data as necessary to meet non-functional testing requirements.
  • Data Collection and Preparation: Gathering data from various sources, cleaning and preparing it for analysis, and ensuring data quality.
  • Statistical Analysis: Performing statistical analyses to identify trends, patterns, and anomalies in the data.
  • Exploratory Data Analysis (EDA): Engaging in exploratory data analysis to gain a deeper understanding of the data and identify potential areas for further investigation.
  • Data Visualization: Creating clear and concise visualizations (charts, graphs, dashboards) to communicate data insights effectively.
  • Reporting and Presentation: Preparing reports and presentations to communicate findings to stakeholders, influencing decision-making.
  • Data Governance and Quality: Ensuring data quality, process documentation, and defining Key Performance Indicators (KPIs).
  • Database Management: Managing databases, troubleshooting data-related issues, and optimizing database performance.
  • Data Modeling: Building data models to represent and analyze data effectively.
  • Data Mining: Mining data from various sources and transforming it into usable formats.

Manikanth
Sarian Solutions, Inc.
Ph: 732-790-2266 X 105
manikanth.d@sariansolutions.com | https://www.sarianinc.com/

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