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Data Quality Jobs (NOW HIRING)

Data Quality Analyst Location: Trenton, NJ Duration:12 Months contract Short Description: Seeking a Senior QA Analyst with 7+ years of experience to validate enterprise data pipelines & cloud ...

Data Quality Analysts Location: Boston, MA - Onsite Duration: Contract Overview We are seeking a highly skilled Data Quality Analyst with 6 to 10 years of experience and a strong foundation in both ...

AVP - Data Quality

$160K - $210K/yr

As an AVP, Data Quality, you will collaborate with engineering, data excellence, pricing and analytics, and finance teams to improve data quality. You'll define data quality KPIs, develop tools to ...

The Data Quality Manager is key in proactively ensuring that data quality is maintained across the enterprise, and as a result enables the Analytics Team to deliver relevant and accurate models and ...

You will provide leadership across data quality management, governance, reporting integrity, data stewardship, and process improvement. As Director you will partner closely with cross-functional ...

The Data Quality Lead is responsible for leading the execution of the Enterprise Data Warehouse (EDW) Data Quality (DQ) controls framework, ensuring data quality is quantifiable, repeatable ...

The Data Quality Lead is responsible for leading the execution of the Enterprise Data Warehouse (EDW) Data Quality (DQ) controls framework, ensuring data quality is quantifiable, repeatable ...

Data Quality Engineer

$122K - $153K/yr

The Data Quality Engineer plays a critical role in that mission by ensuring the data that powers every AI and digital tool is accurate, consistent, complete, and trustworthy. This role owns data ...

You will provide leadership across data quality management, governance, reporting integrity, data stewardship, and process improvement. As Director you will partner closely with cross-functional ...

Data Quality Analyst Job Details Responsibility : Define, Design, and Build Data quality management for Customer MDM solutions. Analyze, gather, and propose MDM Process integration with Sales ...

Data Quality Engineer

Montgomery, AL · On-site

$113K - $136K/yr

Data Quality Engineer Duration : 03 months (Possibility of extension) Location : Montgomery, AL - 36130 (Onsite) Interview: Video or In person Based on Location A Data Quality Engineer, strong data ...

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 ...

Makes recommendations to improve data quality and availability. • Uses critical thinking skills to determine root cause and recommend solutions • Utilize tools to analyze, query and manipulate ...

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 ...

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Data Quality information

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How much do data quality jobs pay per hour?

As of Jul 18, 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

Data Quality Analyst

Hudson Data LLC

Trenton, NJ • On-site

Other

Posted 3 days ago

New


Job description

Job Title: Data Quality Analyst
Location: Trenton, NJ
Duration:12 Months contract

Short Description:

Seeking a Senior QA Analyst with 7+ years of experience to validate enterprise data pipelines & cloud integrations. This role balances automated testing with essential manual validation to ensure absolute data integrity across our cloud data stack.

Complete Description:

Note: This is a Hybrid position - 3 Days On-Site, 2 Days Remote.

You will own data quality and regression testing for our cloud data platform, ensuring seamless data flow and transactional consistency from our source systems into our data warehouse. This role requires a balance of building automated checks and performing hands-on manual data reconciliation to quickly isolate anomalies.

  • Build and maintain scalable test automation frameworks while performing strategic manual data validation across cloud data pipelines.
  • Write complex, high-performance SQL queries for deep-dive data reconciliation, schema validation, and end-to-end data integrity checks.
  • Validate transactional consistency and data object mapping between Salesforce and downstream data platforms.
  • Utilize automated testing tools to support Salesforce environments, with experience in Copado Robotic Testing considered a major plus.
  • Integrate automated quality gates and data tests directly into DevOps and CI/CD deployment pipelines.
  • Collaborate closely with data engineering and cloud architecture teams to troubleshoot and resolve pipeline anomalies.

Skill

Required / Desired

Amount

of Experience

Data / QA Automation Experience

Required

7

Years

Advanced SQL Querying

Required

7

Years

Manual Backend / Data Validation

Required

7

Years

AWS Core Cloud Services

Required

3

Years

Snowflake (or competitor like Databrick/BigQuery/Reshift)

Required

3

Years

dbt (data build tool) Validation

Highly desired

2

Years

Salesforce Data Integration

Highly desired

3

Years

Copado Robotic Testing

Desired

1

Years