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Data Quality Jobs (NOW HIRING)

Data Quality Engineer

Macedonia, OH · On-site

$103K - $124K/yr

The Data Quality Engineer owns the implementation and continuous improvement of data quality across critical business domains. The role ensures data is accurate, consistent, and usable across ...

Data Quality Lead

Minneapolis, MN · On-site

$40 - $50/hr

Data Quality Lead Location - Minneapolis, MN ( 3 days WFO) Rate: $50/hr on c2c Client: Wipro Own end-to-end data quality strategy across RMN; define standards, validation, and reconciliation; drive ...

Data Quality Engineer

$117K - $140K/yr

Data Quality Lead Location: Remote Job Type: Contract As an Data QA Lead you will be a part of an Agile team to build healthcare applications and implement new features while adhering to the best ...

Data Quality Engineer

Houston, TX

$109K - $131K/yr

JOB SUMMARY The Data Quality Engineer is a member of the Shared Services' Analytics and Insights team responsible for implementing and maintaining data quality controls across Vantage Bank ...

New

CAPTRUST is seeking a Data Quality Analyst to lead the firm's data quality program. This Analyst will partner with teams across the firm to define, monitor, track, and enforce data quality rules that ...

Data Quality Engineer

Birmingham, AL · Remote

$107K - $128K/yr

Kemper is seeking a Data Quality Engineer specializing in Data Testing and Quality Engineering to design, implement, and optimize enterprise data validation frameworks that ensure the accuracy ...

Position Summary Curant Health is seeking a highly skilled Data Quality Analyst with strong expertise in validating data accuracy, completeness, and consistency across multiple data sources. This ...

Data Quality Analyst

Andover, MA · On-site

$24 - $30/hr

Scope of Position The Data Quality Analyst is accountable for ensuring the accuracy, completeness, consistency, and reliability of our data assets. They play a key role in maintaining high data ...

Data Quality Analyst

Andover, MA · On-site

$24 - $30/hr

Scope of Position The Data Quality Analyst is accountable for ensuring the accuracy, completeness, consistency, and reliability of our data assets. They play a key role in maintaining high data ...

Data Quality Lead

Richfield, PA · On-site

$60K - $135K/yr

Data Quality Lead City: Richfield State/Province: Minnesota Posting Start Date: 7/8/26 Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company ...

Data Quality Engineer

Chicago, IL · Remote

$118K - $141K/yr

Kemper is seeking a Data Quality Engineer specializing in Data Testing and Quality Engineering to design, implement, and optimize enterprise data validation frameworks that ensure the accuracy ...

The Senior Data Quality Analyst is responsible for supporting and executing enterprise-level data quality initiatives and plays a critical role in advancing a strong, sustainable data quality culture ...

Data Quality Engineer

Downers Grove, IL · Remote

$114K - $137K/yr

Kemper is seeking a Data Quality Engineer specializing in Data Testing and Quality Engineering to design, implement, and optimize enterprise data validation frameworks that ensure the accuracy ...

Sr. Data Quality Analyst

$127K - $150K/yr

The Sr. Data Quality Analyst plays a key role in the testing and implementation of advanced reporting and analytics/tools to support the Data Foundry team. Working closely with other team members to ...

Data Governance & Quality Consultant Seattle, WA / Remote We are seeking a Data Governance Consultant to drive enterprise-level data integrity and compliance within a large-scale financial services ...

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Data Quality information

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How much do data quality jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for data quality in the United States is $41.44, according to ZipRecruiter salary data. Most workers in this role earn between $27.88 and $54.33 per hour, depending on experience, location, and employer.

Is data quality a good career?

Data quality is a valuable career path involving ensuring the accuracy, consistency, and reliability of data within organizations. Professionals in this field often work with data management tools, perform audits, and may pursue certifications like Certified Data Management Professional (CDMP). It offers opportunities across industries such as finance, healthcare, and technology with steady demand for skilled data quality specialists.

Is 40 too late for data science?

Data science is a field open to professionals of all ages, and starting at 40 is not too late. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, along with practical experience. Many individuals transition into data science later in their careers and find opportunities based on their expertise and continuous learning.

What is the highest paying data job?

The highest paying data jobs often include Data Science Director, Chief Data Officer, or Data Engineering Manager roles, which can earn six-figure salaries or higher depending on experience, industry, and location. These positions typically require advanced skills in data analysis, machine learning, and leadership, along with relevant certifications or degrees.

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

To thrive in a Data Quality role, you need expertise in data analysis, attention to detail, knowledge of data governance, and often a bachelor's degree in a related field such as computer science or information systems. Familiarity with tools like SQL, data profiling software, and data quality management platforms, as well as certifications like CDMP (Certified Data Management Professional), is highly valued. Strong problem-solving abilities, effective communication, and a collaborative mindset help professionals excel in this position. These skills are crucial for ensuring accurate, reliable data that supports business decision-making and overall organizational efficiency.

What is a Data Quality job?

A Data Quality job involves ensuring that data is accurate, consistent, and reliable for business use. Professionals in this role develop and enforce data quality standards, identify and resolve data discrepancies, and implement processes for data validation and cleansing. They often work with databases, data governance frameworks, and analytics teams to maintain high-quality data. This role is essential for organizations relying on data-driven decisions, as poor data quality can lead to incorrect insights and inefficiencies.

What are the typical challenges faced by someone working in a Data Quality role?

Professionals in Data Quality roles often encounter challenges such as identifying inconsistent data sources, addressing missing or inaccurate data, and maintaining data standards as systems and business requirements evolve. Working closely with IT, data analysts, and business stakeholders, Data Quality specialists must resolve data discrepancies while balancing the need for accuracy with project deadlines. These challenges require excellent analytical and troubleshooting skills, as well as the ability to communicate data issues clearly across teams. Overcoming these hurdles is key to ensuring data-driven decisions are based on trustworthy information.

What is a data quality job?

A data quality job involves ensuring the accuracy, completeness, consistency, and reliability of data within an organization. Professionals in this role often use tools like data profiling and validation software, and may hold certifications such as Certified Data Management Professional (CDMP). The work typically requires attention to detail and understanding of data governance standards.
More about Data Quality jobs
What cities are hiring for Data Quality jobs? Cities with the most Data Quality job openings:
What are the most commonly searched types of Data Quality jobs? The most popular types of Data Quality jobs are:
What states have the most Data Quality jobs? States with the most job openings for Data Quality jobs include:
Infographic showing various Data Quality job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $86,188 per year, or $41.4 per hour.

Full-time

Posted 22 hours ago


Job description

Position: Data Quality Analyst
Location: Remote
This is remote role however we are looking for candidates based in central or mountain zone because that's what the timings they must work in.
Try to look for candidates from healthcare background.
What is in it for you?
Looking for a seasonal Data Quality Analyst who will ensure data accuracy, consistency, and reliability by performing data profiling, cleaning, validation, integration, and continuous monitoring while
collaborating with stakeholders to resolve data quality issues.
Roles and Responsibilities
• Data Profiling: Profiling is the process of looking at the structure, patterns, and content of data to find problems like missing information or mistakes. It helps analysts spot hidden issues that could affect the quality of the data.
• Data Cleaning: Cleaning involves correcting or excluding inaccurate, incomplete, or irrelevant data to maintain an error-free dataset for further analysis.
• Data Validation: is carried out to ensure that the data meets predefined standards and business rules. This process confirms that data is accurate, with all required fields populated, correct data types, and values within acceptable ranges.
• Data Integration: Integration is the merging of data from different sources into a unified view. A data quality analyst makes sure that data is consistent and compatible and resolves discrepancies that arise during the integration process.
• Data Monitoring: involves continuously tracking and data to confirm its accuracy, consistency, and reliability over time. A data quality analyst keeps an eye on the data at regular intervals to ensure its accuracy and consistency so that any new problems can be rapidly identified.
Educational Qualifications:
Engineering Degree - BE/ME/BTech/MTech/BSc/MSc.
Technical certification in multiple technologies is desirable.
Mandatory skills
• Requirement gathering, Requirement writing, good communication skills, SQL (Structured Query Language), ETL (extract, transform, and load) tool knowledge for data migration.
• Create and update requirements artifacts such as Solution Requirements Specifications, use cases, and other artifacts as needed for incorporating in google platform. Responsible for ensuring each artifact complies with quality standards set out by the Requirements Team leadership, and for conducting and facilitating requirements review sessions to ensure understanding across business and IT groups.
• Recommend Data quality rules, create data profiles, perform data cleaning and validation, data integration.
• Responsible for maintaining those requirements through the life of the project and raising awareness with mitigating strategies when issues arise that may impact budget or timelines.
• Validate and get all the requirements reviewed by client teams
• Act as a liaison between the delivery teams that are engaged in implementing the solution and the business partners that will be using the solution, as well as interact daily with development engineers and QA analysts.
• Desired Skills: Healthcare domain, Python, R
• Candidate should be fine to work in Central or Mountain times.