Data Integrity Specialist

Career Guide

A Data Integrity Specialist ensures that an organization’s data is accurate, consistent, complete, and trustworthy. They find errors, fix root causes, and set up rules and checks so teams can rely on data for reporting, operations, and decision-making.

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Key Responsibilities

Monitor data quality and flag unusual changes or errors
Investigate data issues and identify root causes
Clean and correct data using approved processes
Define data quality rules and validation checks
Document data definitions and standard data entry practices
Coordinate issue resolution with business teams and technical teams
Track data quality metrics and report progress over time
Support audits and compliance requests related to data accuracy
Improve processes to prevent recurring data problems
Test data changes after system updates or new integrations

Top Skills for Success

Attention to Detail

Problem Solving

Stakeholder Communication

Process Improvement

Data Quality Management

Data Validation

Root Cause Analysis

SQL

Data Profiling

Data Governance

Master Data Management

Metadata Management

Career Progression

Can Lead To

Data Quality Analyst

Data Governance Analyst

Master Data Specialist

Business Intelligence Analyst

Transition Opportunities

Data Governance Manager

Data Quality Lead

Data Steward

Analytics Engineer

Data Operations Manager

Common Skill Gaps

Often Missing Skills

SQLData Quality MetricsData LineageData GovernanceData Catalog ToolsIssue Tracking PracticesChange Management

Development SuggestionsBuild comfort with querying and basic data investigation, then practice designing clear data quality rules and tracking outcomes. Ask to own a recurring data quality dashboard and a small set of priority data issues from intake through resolution.

Salary & Demand

Median Salary Range

Entry LevelUSD 55,000 to 75,000

Mid LevelUSD 75,000 to 100,000

Senior LevelUSD 100,000 to 135,000

Growth Trend

Steady growth. Demand is supported by increased reporting needs, more connected systems, and higher expectations for reliable analytics and compliance.

Companies Hiring

Major Employers

UnitedHealth GroupKaiser PermanenteJPMorgan ChaseBank of AmericaWells FargoAmazonWalmartTargetSalesforceAccentureDeloitteIBM

Industry Sectors

HealthcareFinancial ServicesRetailTechnologyInsuranceManufacturingTelecommunicationsGovernmentConsulting

Recommended Next Steps

Create a portfolio example showing how you identified a data issue, measured impact, and prevented recurrence

Strengthen SQL skills using real tables and realistic data problems

Learn how your organization defines key fields and align to a shared data dictionary

Set up a simple data quality scorecard with accuracy, completeness, and timeliness measures

Partner with system owners to add validation at the point of entry and during data transfers

Get familiar with your company’s governance process and propose one improvement to reduce recurring errors