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Data Scrubbing Jobs (NOW HIRING)

Sarian, Inc.

Informatica Developer

Dearborn, MI · On-site

$49 - $64.25/hr

Data scrubbing, cleaning, and blending. * Performance tuning of dashboards. * Perform data integrity checks before handing over reporting for User Acceptance Testing. * Conduct testing before ...

Munich Re

Data Scientist, AI

Memphis, TN · On-site +1

Identify data and operational issues requiring specialized analytics attention, data scrubbing, and modeling techniques. * Document and communicate assumptions, results, and alternatives to team ...

New

Munich Re

Data Scientist, AI

Amelia, OH · On-site +1

Identify data and operational issues requiring specialized analytics attention, data scrubbing, and modeling techniques. * Document and communicate assumptions, results, and alternatives to team ...

New

Munich Re

Data Scientist, AI

Houston, TX · On-site +1

Identify data and operational issues requiring specialized analytics attention, data scrubbing, and modeling techniques. * Document and communicate assumptions, results, and alternatives to team ...

New

Munich Re

Data Scientist, AI

Kansas City, MO · On-site +1

Identify data and operational issues requiring specialized analytics attention, data scrubbing, and modeling techniques. * Document and communicate assumptions, results, and alternatives to team ...

New

Munich Re

Data Scientist, AI

Dayton, OH · On-site +1

Identify data and operational issues requiring specialized analytics attention, data scrubbing, and modeling techniques. * Document and communicate assumptions, results, and alternatives to team ...

New

Munich Re

Data Scientist, AI

Columbus, OH · On-site +1

Identify data and operational issues requiring specialized analytics attention, data scrubbing, and modeling techniques. * Document and communicate assumptions, results, and alternatives to team ...

New

Navtech, Inc.

Business Analyst

Buffalo, NY · On-site

Data warehouse, data scrubbing, data migration. * Analytics requirements collection with business interface. * Experience in mapping multiple data sources - mapping from the source policy systems.

Munich Re

Data Scientist, AI

Philadelphia, PA · On-site +1

Identify data and operational issues requiring specialized analytics attention, data scrubbing, and modeling techniques. * Document and communicate assumptions, results, and alternatives to team ...

New

Munich Re

Data Scientist, AI

Fort Lauderdale, FL · On-site +1

Identify data and operational issues requiring specialized analytics attention, data scrubbing, and modeling techniques. * Document and communicate assumptions, results, and alternatives to team ...

New

Munich Re

Data Scientist, AI

Charleston, SC · On-site +1

Identify data and operational issues requiring specialized analytics attention, data scrubbing, and modeling techniques. * Document and communicate assumptions, results, and alternatives to team ...

New

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How much do data scrubbing jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for data scrubbing in the United States is $29.38, according to ZipRecruiter salary data. Most workers in this role earn between $14.90 and $36.78 per hour, depending on experience, location, and employer.

What is a Data Scrubbing job?

A Data Scrubbing job involves cleaning, correcting, and standardizing data to ensure its accuracy and reliability. This process includes identifying and removing duplicate, incomplete, or erroneous data from databases or datasets. Professionals in this role use various tools and techniques to validate data quality, enhance consistency, and improve efficiency for data analysis or business operations. Data scrubbing is crucial for maintaining clean and usable data, which helps organizations make informed decisions.

What are typical daily responsibilities for someone in a Data Scrubbing role?

Daily responsibilities in a Data Scrubbing role often include identifying and correcting errors, inconsistencies, or duplicates in large datasets using specialized data cleaning software or scripts. You may work closely with data analysts, IT staff, and business teams to understand data requirements and ensure clean, reliable information for reporting or analytics. Routine tasks often involve reviewing incoming data for accuracy, standardizing formats, and documenting processes for data quality improvements. Collaboration and clear communication are essential since your work directly impacts team decisions and business outcomes.

What are the key skills and qualifications needed to thrive in the Data Scrubbing position, and why are they important?

To thrive in a Data Scrubbing role, you need strong attention to detail, proficiency in data analysis, and experience in database management or data quality assurance. Familiarity with data cleaning tools such as Trifacta, OpenRefine, or SQL, and certifications in data management or analytics are often valuable. Excellent organizational skills, problem-solving abilities, and effective communication make you stand out in this position. These skills are crucial to ensure the integrity, accuracy, and usability of data within an organization.

How to identify fake data entry jobs?

To identify fake data entry jobs, verify the company's legitimacy through official websites and reviews, and be cautious of jobs that require upfront payments or promise unusually high pay for minimal work. Legitimate roles typically do not ask for sensitive personal information early in the application process and provide clear job descriptions and contact details. Using reputable job boards and avoiding offers that seem too good to be true can help prevent scams.

What is the highest paid cleaning job?

In the cleaning industry, specialized roles such as industrial or commercial cleaning supervisors and managers tend to have higher salaries compared to basic cleaning positions. These roles often require experience, management skills, and sometimes certifications, and can offer higher pay due to increased responsibilities and expertise.

What does data scrubbing do?

Data scrubbing is the process used by data scrubbing specialists to identify and correct or remove inaccurate, incomplete, or inconsistent data within a dataset. It ensures data quality and reliability, often using tools like spreadsheets or specialized software, and is essential for accurate analysis and decision-making.

How can I make $2000 a week working from home?

Data scrubbing jobs often pay per project or hourly, with experienced professionals earning between $15 and $30 per hour. To reach $2000 weekly, you would need to work approximately 67 to 133 hours, which may require high efficiency, specialized skills, and consistent workload. Building a strong skill set in data cleaning tools and gaining certifications can improve earning potential in remote data scrubbing roles.
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What cities are hiring for Data Scrubbing jobs? Cities with the most Data Scrubbing job openings:
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Data Scrubbing jobs near you
Infographic showing various Data Scrubbing job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $61,109 per year, or $29.4 per hour.
Senior Cyber Data Analyst #3598754

Senior Cyber Data Analyst #3598754

Axiom Path

Jersey City, NJ • Hybrid

$60 - $62/hr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Be Part Of A High-Performing Team:

Join a major international financial services organization supporting cyber data operations within a technology-driven banking environment. This team works closely with information security, data engineering, and business stakeholders to improve how cyber-related data is sourced, structured, validated, and consumed across enterprise systems. The environment is collaborative, detail-oriented, and focused on strengthening data reliability for security and operational decision-making.

What's In Store For You:

Engagement: W2 only (no C2C/1099)

This is a hybrid opportunity based in Jersey City, New Jersey, supporting a cyber data warehouse initiative. The role offers the opportunity to partner with cross-functional stakeholders, contribute to high-visibility data operations, and help improve the quality and usability of data flowing from upstream source systems into a centralized cyber data environment.

How You Will Make An Impact

  • Analyze upstream data sources and help determine how data should be cleansed, organized, and prepared for loading into a cyber data warehouse.
  • Partner with stakeholders and data development teams to understand source-system data, business context, and technical requirements.
  • Gather, review, and organize data from internal systems, spreadsheets, reports, and other structured sources.
  • Identify trends, patterns, data quality issues, and business-relevant insights using Excel, BI tools, and related analysis methods.
  • Translate findings into clear documentation, technical requirements, and actionable recommendations for development teams.
  • Support cross-functional communication between business, cyber, and technical teams to ensure data is interpreted accurately and consistently.

Are you an experienced cyber data analysis professional ready to make an impact?

  • 10+ years of data analysis experience, ideally within enterprise technology, cyber, risk, financial services, or data operations environments.
  • Strong ability to analyze source-system data, identify data issues, and define data scrubbing or transformation needs.
  • Experience creating clear technical requirements for data development or data warehouse teams.
  • Advanced Excel skills and strong comfort working with spreadsheets, reports, and structured business data.
  • Exposure to SQL and relational databases is strongly preferred.
  • Python experience is a plus.
  • Familiarity with data visualization tools such as Tableau, Power BI, or Google Data Studio is preferred.
  • Strong attention to detail and ability to interpret data in a business and technical context.
  • Effective communication skills with the ability to work across stakeholder, cyber, and technical teams.