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Data Correction Jobs (NOW HIRING)

Mondo

SQL Data Engineer

Centreville, VA · Remote

$125K - $140K/yr

Design, test, and execute data correction and remediation scripts. * Lead and support data migration initiatives, including schema mapping and transformation logic. * Perform ETL activities, data ...

Directsupply

Data Automation Manager

Milwaukee, WI · On-site

Apply generative AI and intelligent APIs to enable advanced data matching, classification, enrichment, and correction * Establish monitoring, alerting, and feedback mechanisms to ensure automated ...

Goodwin Procter Boston

Manager, Data Management

Boston, MA · On-site

$160 - $185/hr

Oversee bulk data updates, audits, exception handling, and data correction processes with a focus on scalability and control. * Drive process improvements, automation opportunities, and tooling ...

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Data Correction information

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How much do data correction jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for data correction in the United States is $33.57, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $46.88 per hour, depending on experience, location, and employer.

What is a data correction?

A Data Correction job involves reviewing, identifying, and fixing errors in data to ensure accuracy and consistency. Professionals in this role work with databases, spreadsheets, or digital records to correct typos, missing information, or formatting issues. They may also verify data against original sources and ensure compliance with company or industry standards. Strong attention to detail and proficiency with data management tools are essential for success in this role.

What are the key skills and qualifications needed to thrive in data correction?

Success in Data Correction requires strong attention to detail, proficiency in data entry, and a foundational understanding of data management best practices, often supported by a high school diploma or equivalent. Familiarity with spreadsheet software, data validation tools, and database management systems is typically important, and some organizations may prefer experience with specialized data quality assurance platforms. Strong analytical thinking, problem-solving ability, and effective communication skills help professionals excel in identifying and correcting inconsistencies. These skills are crucial for ensuring the accuracy and reliability of organizational data, which supports broader business operations and decision-making.

What are some common challenges faced in a data correction role, and how can I overcome them?

Professionals in Data Correction often encounter challenges such as identifying subtle errors within large data sets, managing repetitive tasks without losing focus, and meeting tight deadlines for data updates. Staying organized, utilizing data validation tools, and regularly collaborating with other data or IT team members can help address these issues effectively. Actively seeking feedback and maintaining a methodical approach to your work can also greatly minimize mistakes. By proactively developing your technical skills and attention to detail, you can excel in the position and contribute significantly to data quality improvement within your organization.

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What states have the most Data Correction jobs?

States with the most job openings for Data Correction jobs include:

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Data Correction jobs near you
Infographic showing various Data Correction job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $69,818 per year, or $33.6 per hour.

Systems Analyst III

Meta Force Technology Staffing LLC

Reston, VA • On-site

Contractor

Re-posted 16 days ago

Job description

Reston only - hybrid, 4 days onsite 1 day offsite per week
 

Top 3 skills:
• Analytic Skills
• Agile experience
• Problem Solving Ability

ADDITIONAL DETAILS:


We are hiring a Business / Data Analyst to join our data warehouse team. The analyst is expected to work alongside business users/ business or data or systems analyst/ developers and report directly to the Data Management manager. Your main tasks will include Troubleshooting data variances and failures to identify the root cause of issues using the available documentation (STTM). Able to read Informatica code to identify root cause of data variances. Providing solutions to resolve the issues and improve overall product quality.
Business / Data Analyst Responsibilities:
• Analyze complex requirements by reading STTMs and apply the knowledge to troubleshoot failures in a production environment
• Propose solutions to resolve the analyzed problem/issue
• Write SQL scripts to correct data (data corrections) and coordinate with the technical team members to ensure the change is delivered to production.
• Verify data changes and certify the change after the data correction is implemented
• Articulate technology solutions, in consultations with the systems analyst or Tech lead and requirements to diverse internal/external stakeholders, integrating process, business rules, and data to meet business needs.
• Data-driven, results-oriented with the ability to quickly analyze data and make decisions that drive performance.
• Understanding of Data Lineage, source to target mapping, documenting the data elements accurately is strongly needed.
• Conducting meetings and presentations to share ideas and findings.
• Documenting and communicating the results of data and business requirements
• Effectively communicating your insights and plans to cross-functional team members and management.
• Managing competing resources and priorities.
• Should be able to complete task with minimum supervision
• Overall 8-10 years of experiences needed
Business / Data Analyst Requirements:
• 8+ years of Business/Data Analysis experience
• A bachelor’s degree Is required.
• Must have Advanced SQL, excel skills (SQL on Oracle database preferred)
• Strong knowledge of Data Warehouse / Mart concepts.
• Must have experience using Toad and comparing data from various data sources
• Competency in Microsoft applications including Word, and Outlook.
• Must have experience using JIRA, Confluence
• Strong working knowledge of agile methodology
• Exhibit strong written and verbal communication skills
• Extremely organized with strong time-management skills
• Demonstrated ability to work with multiple stakeholders on a high visibility project
• Multifamily or Single-Family mortgage experience is preferred.