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Data Quality Jobs (NOW HIRING)

So you can go beyond." The Senior Data Quality Analyst is responsible for supporting and executing enterprise-level data quality initiatives, including data profiling, measurement, process analysis ...

So you can go beyond." The Senior Data Quality Analyst is responsible for supporting and executing enterprise-level data quality initiatives, including data profiling, measurement, process analysis ...

Position Summary As a Senior Data Quality Analyst at Cedar Gate Technologies, an IQVIA business, you will play a critical role in ensuring the accuracy, integrity, and reliability of healthcare data ...

Data Quality Engineer

Olympia, WA · On-site

$122K - $147K/yr

Data Quality Engineer with ETL Deloitte project with State of Washington (HBE Project) 1 year contract +extension possible Fully Onsite in Olympia Washington (Local preferred but will consider strong ...

Position Summary As a Senior Data Quality Analyst at Cedar Gate Technologies, an IQVIA business, you will play a critical role in ensuring the accuracy, integrity, and reliability of healthcare data ...

Data Quality Lead Analyst

Getzville, NY · On-site

$125K - $131K/yr

A. seeks a Data Quality Lead Analyst for its Getzville, New York location. Duties: Issue identification, escalation, and remediation for Credit Valuation Adjustment (CVA) risk data. Perform data ...

Data Quality Analyst Location: Remote Duration: 3-6+ months (possible extension) Position Summary We are seeking experienced Data Quality Analysts to join Medica's IT team. In this role, you will ...

Data Quality Engineer

Dallas, TX · On-site

$62 - $65/hr

Data Quality Engineer (Databricks, Kafka, AWS) Location: Dallas, TX (Hybrid - 3 days onsite) Job Type: Long-term Contract Work Authorization: Open - W2 opportunity Interview Process: In-person ...

CW Customer Data Quality Analyst Location: Plano, TX Duration: 6+ Months Pay Rate: OPEN to discuss on W2 basis This is a business (as opposed to technical) role, A recent college grad with maybe a ...

Data Quality Analyst - GenAI Be part of something groundbreaking At AIG, we are making long-term investments in a brand-new, innovative Generative AI team , designed to explore new possibilities for ...

We are looking for Data Quality Analyst to help us in our efforts to annotate and label our data for AI training applications. Responsibilities: * Use proprietary annotation tools to label objects ...

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Data Quality information

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$16

$41

$71

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.
Data Quality Analyst - Remote

Data Quality Analyst - Remote

NAVA Software Solutions

Jersey City, NJ • On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

NAVA Software solutions is looking for a Data Quality Analyst
Details:
Data Quality Analyst
Location: Remote
Duration: 12 Months
The Enterprise Data Quality team is looking to add a Data Quality Analyst. The Data Quality Analyst will work on the Azure cloud. The analyst will be driving the development and reporting of Data Quality rules across 60+ sources using our inhouse built Data Quality framework.
Responsibilities:
  • Analyze business requirements and identify where Data Quality is needed.
  • Analyze data sources and provide recommendations or system enhancements/efficiencies.
  • Develop reports and dashboards that accurately reflect the information intended to be shared.
  • Prioritize data sources that need Data Quality rules defined for them. Prioritization could be based on business/stakeholder requirements, technical capability, production enhancement, etcetera.
  • Develop Data Quality rules at the source, file, and column tier. Ensure the rules are well defined with correct rule types and thresholds. Obtain Data Steward approval.
  • Create, maintain, and assign a backlog in Azure DevOps at the PI and Sprint iteration.
  • Provide detailed updates on stand ups where we are with Data Quality rules for the source assigned in the current sprint.
  • Analyze the issues detected for a business unit and drive the resolution of the issue.

Qualifications:
  • Meticulous and proven analytical skills.
  • Have a strong attention to details and intellectually curious on data.
  • Strong understanding of how data moves within an enterprise.
  • 4+ years of data analysis experience
  • 4+ years of working with Python and SQL
  • 4+ years of Power BI experience

Desired Qualifications:
  • Experience with PySpark and Pandas
  • Experience with Databricks
  • Experience with C#, .Net, or JavaScript
  • Experience developing GUI

NAVA Software Solutions logo

About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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