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Data Cleaner Jobs (NOW HIRING)

Samba

Product Manager - Data Clean Rooms

New York, NY · On-site

$130K - $180K/yr

Data clean rooms are redefining how the industry transacts on data. As signal loss accelerates and privacy regulation tightens, clean rooms have emerged as the primary vehicle for brands to connect ...

Samba

Product Manager - Data Clean Rooms

Los Angeles, CA · On-site

$130K - $180K/yr

Data clean rooms are redefining how the industry transacts on data. As signal loss accelerates and privacy regulation tightens, clean rooms have emerged as the primary vehicle for brands to connect ...

INSPYR Solutions

Data Analyst

Pensacola, FL · On-site

Clean and organize raw data and generate descriptive statistics in support of business intelligence and data science projects * Partner with senior staff to communicate findings and insight to ...

Samba

Product Manager - Data Clean Rooms

Los Angeles, CA

$130K - $180K/yr

Data clean rooms are redefining how the industry transacts on data. As signal loss accelerates and privacy regulation tightens, clean rooms have emerged as the primary vehicle for brands to connect ...

Samba

Product Manager - Data Clean Rooms

Los Angeles, CA · On-site

$130K - $180K/yr

Data clean rooms are redefining how the industry transacts on data. As signal loss accelerates and privacy regulation tightens, clean rooms have emerged as the primary vehicle for brands to connect ...

INSPYR Solutions

Data Analyst

Pensacola, FL · On-site

Clean and organize raw data and generate descriptive statistics in support of business intelligence and data science projects * Partner with senior staff to communicate findings and insight to ...

TecTammina

Data Scientist

Roseland, NJ

Experience in R/SAS for data cleaning & manipulation Experience in Claims data processing. Experience in Statistical Modeling Qualifications Bachelor's degree in Computer Science or related field ...

TecTammina

Data Scientist

Roseland, NJ

Experience in R/SAS for data cleaning & manipulation Experience in Claims data processing. Experience in Statistical Modeling Qualifications Bachelor's degree in Computer Science or related field ...

Pure Solutions LLC

Senior Data Analyst

Cupertino, CA · On-site

$106K - $133K/yr

Must Have Technical/Functional Skills • 7+ years of experience in Data Analysis • Ability to interpret and validate ML models (No model building required) • Experience with Data Cleaning and ...

Right Skale, Inc.

Data Analyst

Extract, clean, and organize data from multiple sources, including Google Sheets, Workiva, Looker, and Google Forms. * Partner with the Data Engineering team to consolidate data sources and automate ...

Sarian, Inc.

Data Scientist

Addison, TX · On-site

Experience in setting up supervised unsupervised learning ML/NLP models including data cleaning, data analytics, feature creation, model selection ensemble methods, performance metrics visualization.

TMS

Data Analyst

Lake Mary, FL · On-site

$55 - $62/hr

Data Collection Management Acquire data from primary or secondary sources and maintain databases Data Cleaning Clean and sanitize data by filtering reviewing reports and correcting code problems ...

Pavago

Data Entry Specialist

$17.50 - $23.25/hr

Formatting inconsistencies Data Cleaning & Maintenance * Standardize datasets using: * Filters * Pivot tables * Formulas * Apply consistent: * Naming conventions * Categories * Data structures

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How much do data cleaner jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for data cleaner in the United States is $24.01, according to ZipRecruiter salary data. Most workers in this role earn between $12.98 and $25.00 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.

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Data Cleaner jobs near you
Product Manager - Data Clean Rooms

Product Manager - Data Clean Rooms

Samba

New York, NY • On-site

$130K - $180K/yr

Full-time

Re-posted 16 days ago

Job description

Samba is a media intelligence company. We know what the world is watching, reading, and thinking about — in real time, at scale, across every screen. Our data exists with the consent of over a billion people, organized into the most complete picture of consumer attention ever built. The biggest brands in the world use that picture to make smarter decisions. We think it’s the most interesting data asset on the planet, because it’s the most culturally relevant. 

Data clean rooms are redefining how the industry transacts on data. As signal loss accelerates and privacy regulation tightens, clean rooms have emerged as the primary vehicle for brands to connect their first-party data with Samba's unparalleled TV viewership and web intelligence—without either party exposing raw data. You'll ensure Samba's clean room products, and the applications built with the clean room, are the most capable, accessible, and trusted in the market.
What You'll Do
  • Own the end-to-end product roadmap for Samba's data clean room capabilities, including partner integrations, query frameworks, and privacy controls
  • Define requirements for secure data collaboration workflows—from data ingestion and matching to privacy-safe query execution and results delivery
  • Work cross-functionally with engineering, data science, legal/data governance, sales, client success, and your product colleagues to prioritize clean room capabilities that drive new revenue and deepen client partnerships
  • Build and maintain integrations with leading clean room platforms including AWS Clean Rooms, DataBricks, Snowflake Data Clean Rooms, Google Ads Data Hub, InfoSum, and Habu
  • Translate complex privacy-enhancing technologies—differential privacy, secure multi-party computation, federated learning—into practical product capabilities that clients can actually use
  • Partner with product colleagues, sales, and solutions teams to develop repeatable clean room use cases around insights, audience discovery, reach and frequency measurement, campaign attribution, and competitive conquesting
  • Stay ahead of regulatory and industry shifts, including evolving frameworks around data residency, consent management, and privacy-safe collaboration standards
  • Define clear success metrics for clean room adoption, query volume, match rates, and client satisfaction—and hold the team accountable to them
Who You Are
  • 3–5+ years of product management experience in ad tech, data platforms, or privacy-focused data infrastructure
  • Deep familiarity with data clean room platforms and privacy-enhancing technologies, and how they're being used across the advertising ecosystem
  • Strong understanding of the modern data stack—cloud data warehouses, identity resolution, first-party data activation, and measurement methodologies
  • Experience shipping complex data products that required collaboration across engineering, legal, and commercial stakeholders
  • Ability to distill technically dense concepts—MPC, differential privacy, query sandboxing—into clear client-facing value propositions and product specs
  • Track record of executing in fast-moving, ambiguous environments where the market and the technology are both still evolving
  • Hustler mentality: you build conviction quickly, move fast, and know how to bring skeptics along
 
#LI-PS1
Samba is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.  We strive to empower connection with one another, reflect the communities we serve, and tackle meaningful projects that make a real impact.
 
Samba may collect personal information directly from you, as a job applicant, Samba may also receive personal information from third parties, for example, in connection with a background, employment or reference check, in accordance with the applicable law. For further details, please see Samba's Applicant Privacy Policy. For residents of the EU , Samba Inc. is the data controller.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.