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Data Quality Manager Jobs in Washington (NOW HIRING)

Booz Allen Hamilton

Data Quality Engineer

Arlington, VA

$77K - $176K/yr

Define and manage data quality analytics based on quality parameters. Develop a strategic roadmap with clear milestones to guide the organization's transition to its desired future state for data ...

Booz Allen Hamilton

Data Quality Engineer

Arlington, VA · On-site

$77K - $176K/yr

Define and manage data quality analytics based on quality parameters. Develop a strategic roadmap with clear milestones to guide the organization's transition to its desired future state for data ...

The Building People

Quality Manager

Quantico, VA · On-site

... analyzing data, corrective action, preventative action, and continuous improvement, and ... Manage all quality related documentation and records. * Engage in appropriate communication and ...

The Building People

Quality Manager

Quantico, VA · On-site

... analyzing data, corrective action, preventative action, and continuous improvement, and ... Manage all quality related documentation and records. * Engage in appropriate communication and ...

The Building People

Quality Manager

Quantico, VA

$105K/yr

... analyzing data, corrective action, preventative action, and continuous improvement, and ... Manage all quality related documentation and records. * Engage in appropriate communication and ...

The Building People

Quality Manager

Quantico, VA · On-site

$105K/yr

... analyzing data, corrective action, preventative action, and continuous improvement, and ... Manage all quality related documentation and records. * Engage in appropriate communication and ...

IDEX Corporation

Quality Manager

Linthicum, MD

$186K/yr

Develop and lead Supplier Quality Assurance through proactive management of supplier quality data and corrective actions, including first article qualifications, Supplier Corrective Action Requests ...

IDEX Corporation

Quality Manager

Linthicum, MD · On-site

Develop and lead Supplier Quality Assurance through proactive management of supplier quality data and corrective actions, including first article qualifications, Supplier Corrective Action Requests ...

IDEX Corporation

Quality Manager

Linthicum Heights, MD · On-site

$124K - $186K/yr

Develop and lead Supplier Quality Assurance through proactive management of supplier quality data and corrective actions, including first article qualifications, Supplier Corrective Action Requests ...

IDEX

Quality Manager

Linthicum, MD · On-site

Develop and lead Supplier Quality Assurance through proactive management of supplier quality data and corrective actions, including first article qualifications, Supplier Corrective Action Requests ...

Ex Parte, Inc

Data QA Engineer

Bethesda, MD · On-site +1

$122K - $146K/yr

Take ownership of end to end data quality * Understand and Contribute to the event model design ... Familiarity with Agile software delivery including application lifecycle mgmt (Jira/Azure DevOps ...

Ex Parte, Inc

Data QA Engineer

Bethesda, MD · On-site

$122K - $146K/yr

Take ownership of end to end data quality * Understand and Contribute to the event model design ... Familiarity with Agile software delivery including application lifecycle mgmt (Jira/Azure DevOps ...

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Data Quality Manager information

See Washington salary details

$35.1K

$110K

$194.8K

How much do data quality manager jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data quality manager in Washington is $110,026.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,800.00 and $142,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data quality manager?

To thrive as a Data Quality Manager, you need a strong background in data management, data governance, and analytical skills, usually supported by a degree in information systems or a related field. Familiarity with data quality tools (such as Informatica, Talend, or SQL), data profiling techniques, and relevant certifications like CDMP are typically expected. Excellent communication, problem-solving abilities, and leadership skills help in collaborating with cross-functional teams and driving data quality initiatives. These skills ensure accurate, reliable data which is critical for informed business decision-making and regulatory compliance.

Is data quality a good career?

Data Quality Managers play a crucial role in ensuring the accuracy, consistency, and reliability of data within organizations. The field offers strong job growth, competitive salaries, and opportunities to work with data management tools and standards, making it a valuable career choice for those interested in data integrity and analytics.

What are the most common challenges a data quality manager faces when implementing data governance initiatives?

Data Quality Managers often encounter challenges such as gaining cross-departmental buy-in, standardizing data definitions, and addressing inconsistent data entry practices. Successfully implementing data governance requires close collaboration with IT, business analysts, and leadership to align on data standards and processes. Additionally, managing change and ensuring ongoing user training are critical, as stakeholders may be resistant to new data policies or tools. Addressing these challenges proactively helps to build a culture of data ownership and accountability across the organization.

What is the role of a data quality manager?

A data quality manager is responsible for ensuring the accuracy, consistency, and reliability of an organization's data. They develop data standards, implement quality control processes, and use tools like data profiling and validation to maintain high data integrity. This role often requires strong analytical skills and knowledge of data management software.

What does a data quality manager do?

A Data Quality Manager is responsible for ensuring the accuracy, consistency, and reliability of an organization's data. They develop and implement data quality standards, monitor data integrity, and work closely with data analysts, IT teams, and business units to resolve data issues. Their goal is to ensure that data used for business decisions is trustworthy and meets regulatory and organizational requirements. This role often involves leading data governance initiatives and managing data quality improvement projects.

What is the difference between Data Quality Manager vs Data Analyst?

AspectData Quality ManagerData Analyst
Primary FocusEnsuring data accuracy, consistency, and integrity across systemsAnalyzing data to identify trends, patterns, and insights
Required SkillsData governance, quality control, database managementStatistical analysis, data visualization, reporting tools
CertificationsData Management certifications (CDMP, DAMA), SQLData analysis certifications (CAP, Microsoft Certified Data Analyst)
Work EnvironmentData governance teams, IT departments, enterprise systemsBusiness units, analytics teams, reporting departments

While both roles work with data, the Data Quality Manager focuses on maintaining data standards and quality assurance, whereas the Data Analyst interprets data to support business decisions. They often collaborate but serve different functions within organizations.

What are the most commonly searched types of Data Quality jobs in Washington? The most popular types of Data Quality jobs in Washington are:
What are popular job titles related to Data Quality Manager jobs in Washington? For Data Quality Manager jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Data Quality Manager jobs in Washington look for? The top searched job categories for Data Quality Manager jobs in Washington are:
What cities in Washington are hiring for Data Quality Manager jobs? Cities in Washington with the most Data Quality Manager job openings:
Data Quality Manager jobs near you
Infographic showing various Data Quality Manager job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, 5% Contract, and 1% Nights. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $110,026 per year, or $52.9 per hour.

Data Quality Analyst (Translational Research)

Digital Infuzion

Rockville, MD • Remote

$65K - $80K/yr

Full-time

Re-posted 14 days ago

Job description

We believe that by equipping researchers with rapid insights and providers with tailored, on-demand data, we can help people lead better, healthier lives. At Digital Infuzion, we harness innovative healthcare solutions and cutting-edge bioinformatics to make meaningful impacts in patient care.
Our team thrives in a creative, open, and growth-oriented environment, guided by our core values:
  • Outcomes First: Focusing on what matters most and making timely, informed decisions.
  • Innovative: Embracing creativity and continuous improvement to drive novel solutions.
  • Radical Candor: Communicating openly and honestly, balancing direct feedback with genuine care.
  • Never Satisfied: Pursuing excellence and continuous growth beyond the status quo.
  • Resilient: Adapting and persevering through challenges, turning obstacles into opportunities.

If you're passionate about leveraging technology to improve healthcare and want to work in an environment that values innovation and collaboration, we may have just the opportunity for you.
Position Summary
The Data Quality Analyst will play a key role in evaluating scientific data submissions across the translational research continuum, ensuring accuracy, completeness, and adherence to established standards. This role requires attention to detail, familiarity with pre-clinical research concepts, and an interest in applying best practices to evolving areas of biomedical research, including influenza and infectious disease.
Working under the guidance of the Data Quality Manager and Scientific Program Manager, the Data Quality Analyst will review submissions for scientific and methodological soundness, support the development of efficient data workflows, and contribute to continuous improvements in data quality processes and models. This position provides an excellent opportunity to build expertise at the intersection of data quality, scientific research, and informatics.
Key Responsibilities
  • Review scientific data submissions for completeness, accuracy, and adherence to defined standards.
  • Evaluate the consistency and scientific relevance of data and flag potential issues for review.
  • Assess methodological details of pre-clinical and translational research submissions under the guidance of senior staff.
  • Support the translation of data workflows into transparent, structured processes that can be adapted for automation and AI-assisted review.
  • Collaborate with scientific staff, informatics teams, and data providers to resolve discrepancies and improve data quality.
  • Assist in monitoring data quality metrics and document trends or recurring issues.
  • Maintain up-to-date knowledge of emerging research methods, data standards, and automation tools to support improvements in data quality practices.
  • Contribute to team documentation and process refinement efforts as part of continuous improvement initiatives.

Required Qualifications
  • Bachelor’s degree in a relevant scientific or data-related discipline (e.g., biomedical sciences, bioinformatics, epidemiology, virology, immunology, or related field).
  • Familiarity with pre-clinical research methods and experimental design.
  • Strong attention to detail with the capacity to identify inconsistencies or gaps in structured scientific data.
  • Ability to follow established data quality workflows and contribute to process documentation.
  • Strong written and verbal communication skills, with the ability to summarize findings clearly.
  • Collaborative mindset, with the willingness to seek guidance and work effectively in a cross-disciplinary team.

Preferred Qualifications
  • Master’s degree in a relevant scientific or data-related field.
  • Understanding of controlled vocabularies, ontologies, and biomedical data standards.
  • Familiarity with database systems, structured data models, or data submission pipelines.
  • Exposure to human-in-the-loop AI processes and automation in data review workflows.
  • Experience with quality control, process improvement, or research data management.

*This is a remote-eligible position

Digital Infuzion does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor per Federal laws.

We can provide reasonable accommodation to applicants with disabilities. If you need a reasonable accommodation for any part of the application and hiring process, please contact Talent Acquisition at careers@digitalinfuzion.com. The decision on granting reasonable accommodation will be made on a case-by-case basis.

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