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Informatica Data Quality Jobs in Virginia (NOW HIRING)

Diaconia LLC

Data Architect

Springfield, VA

$125K - $145K/yr

... information and data architecture initiatives by developing and maintaining data models, metadata, taxonomies, data standards, and data exchange documentation that improve data quality ...

Diaconia

Data Architect

Springfield, VA · On-site

$125K - $145K/yr

... information and data architecture initiatives by developing and maintaining data models, metadata, taxonomies, data standards, and data exchange documentation that improve data quality ...

Chenega MIOS SBU

Data Manager / Curator

Arlington, VA · On-site

... quality and data integrity across platforms. • Other duties as assigned. Qualifications : Required : • Bachelor's degree in Information Systems, Data Science, or related field. • 4+ years of ...

Omm IT Solutions

Data & Product Analyst

Mclean, VA · On-site

Collaborate with product managers, business stakeholders, data engineers, architects, and QA teams ... Familiarity with Informatica, Talend, or other enterprise ETL and data integration tools.

cillium corp

data analyst

Fairfax, VA · On-site

... quality tools preferred. Qualifications Additional Information All your information will be kept confidential according to EEO guidelines.

Apex Systems

Enterprise Data Steward

Mechanicsville, VA · On-site

Support org-wide data quality and stewardship by providing subject-area guidance for defining and ... Everforth Apex is a world-class IT services company that serves thousands of clients across the ...

New

PenFed Credit Union

Enterprise Data Steward

Mclean, VA · Hybrid

$84K - $193K/yr

Manage Enterprise Data Quality issues from identification to closure, in partnership with Business ... Bachelor's degree in information systems or business management required, Master's degree preferred.

ECS

Data Architect

Fairfax, VA · On-site

$157K - $220K/yr

All parties have an interest in understanding and/or implementing the data model with quality in ... Information Model. * Must have prior experience working on data models: * Developing and ...

TriOptus LLC

Informatica Developer

Mclean, VA · On-site

$54.25 - $71.25/hr

Informatica Developer Location: Mclean, VA (Onsite) Duration: 6+ Months (with possible extension ... Implement data validation, error handling, and monitoring processes to ensure high data quality.

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All JobsInformatica Data Quality JobsInformatica Data Quality Jobs in Virginia

Informatica Data Quality information

See Virginia salary details

$10

$59

$77

How much do informatica data quality jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for informatica data quality in Virginia is $59.17, according to ZipRecruiter salary data. Most workers in this role earn between $50.77 and $66.73 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Informatica Data Quality specialist, and why are they important?

To thrive as an Informatica Data Quality specialist, you need expertise in data analysis, data profiling, ETL processes, and a strong understanding of data governance principles, usually supported by a degree in computer science or a related field. Familiarity with Informatica Data Quality tools, SQL, and often Informatica certifications are commonly required. Strong problem-solving skills, attention to detail, and effective communication are essential soft skills in this role. These abilities are crucial to ensuring data accuracy, consistency, and reliability, which directly impact business decision-making and regulatory compliance.

What is Informatica Data Quality?

Informatica Data Quality is a suite of tools designed to help organizations ensure the accuracy, consistency, and reliability of their data. It provides capabilities for profiling, cleansing, standardizing, and monitoring data across various sources. With Informatica Data Quality, businesses can identify and correct data issues, enforce data quality rules, and maintain high-quality data for analytics, reporting, and operational use. The platform integrates with other Informatica products and supports both cloud and on-premises environments.

What are some common challenges faced in an Informatica Data Quality role and how can they be addressed?

Professionals in Informatica Data Quality roles often encounter challenges such as handling inconsistent data sources, managing large volumes of data, and ensuring data accuracy across complex systems. Addressing these challenges typically involves close collaboration with data stewards, business analysts, and IT teams to define and enforce data quality rules. Utilizing Informatica's profiling, cleansing, and monitoring features can help proactively detect and resolve data issues. Regular communication and feedback loops with stakeholders are also essential for maintaining high data standards and adapting to evolving business needs.

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

AspectInformatica Data QualityData Analyst
Primary FocusData cleansing, profiling, and quality management using Informatica toolsData interpretation, reporting, and analysis to support business decisions
Required SkillsData quality tools, SQL, data profiling, ETL processesData analysis, visualization, SQL, Excel, business acumen
Work EnvironmentData management teams, IT departments, data warehousesBusiness units, analytics teams, reporting departments
CertificationsInformatica certifications, SQL knowledgeNone specific, often data analysis or business intelligence certifications

Informatica Data Quality specialists focus on ensuring data accuracy and consistency using specific tools, while Data Analysts interpret and analyze data to generate insights. Both roles require SQL skills, but their core responsibilities and work environments differ significantly.

What are popular job titles related to Informatica Data Quality jobs in Virginia? For Informatica Data Quality jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Informatica Data Quality jobs in Virginia look for? The top searched job categories for Informatica Data Quality jobs in Virginia are:
Informatica Data Quality jobs near you
Infographic showing various Informatica Data Quality job openings in Virginia as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $123,082 per year, or $59.2 per hour.

Senior Data Scientist - Data Quality & Statistical Methodology

BLN24

Mclean, VA • On-site

Contractor

Medical, Dental, Vision

Posted 3 days ago

New

Job description

Job Title: Senior Data Scientist - Data Quality & Statistical Methodology
Company: BLN24
About Us: We find strength in teamwork-a better you is a better us
BLN24 is an award-winning Management Consulting Firm that supports the U.S. Federal Government in successfully achieving their mission and goals. Our service and solutions delivery start with understanding each client's end-state, and then seamlessly integrating within each Agency's organization to improve and enhance strategic and technical operations and deployments.
Position Overview:
BLN24 is seeking a Senior Data Scientist with a strong statistical-methodology focus to support a large-scale enterprise data and analytics platform modernization effort. This role sits at the intersection of statistical methodology, data-quality measurement, and large-scale data engineering - designing the metrics and methods that determine whether an organization's core data products can be trusted.
A central challenge is completeness: source data is rarely perfect, and values are routinely missing, partial, or unreliable. The ideal candidate understands how external and secondary data sources can be used to responsibly fill those gaps, and can design defensible, statistically sound quality metrics that measure how well the resulting data reflects reality.
The platform's anticipated foundation involves a modern lakehouse/cloud data architecture handling very large datasets from multiple providers. The successful candidate will help define the quality-metric framework and gap-filling methodology for a generation of stakeholders moving off legacy tools and fragmented, manually validated processes.
Key Responsibilities:
  • Design, define, and validate data-quality metrics for very large datasets - not simply reporting numbers, but establishing what each metric means, how it is calculated, and why it is statistically defensible to leadership
  • Develop and document methodology for filling gaps where source data is missing, partial, or unreliable, using external and secondary reference data, including model-based and imputation approaches
  • Establish benchmarking approaches that compare data products against authoritative historical and modeled reference datasets to detect drift, bias, and anomalies
  • Specify the data the platform must ingest to support quality monitoring, and define the checks that flag when an upstream-produced data product looks wrong
  • Partner with subject matter experts (SMEs) and stakeholders to translate operational and analytical questions into concrete, measurable quality requirements
  • Work with data engineers to ensure metrics and gap-filling logic run reliably at scale on very large, multi-source datasets built on common keys and governed definitions
  • Account for data sensitivity throughout, ensuring appropriate aggregation, access controls, and privacy-preserving techniques are reflected in any metric or derived data product
  • Document methodology and requirements in structured, reusable formats (e.g., requirements matrices and detailed requirement specifications)
  • Iterate across multiple review cycles with SMEs and fellow methodologists, given the program's phased, multi-year rollout
Required Qualifications:
  • 5+ years of applied experience in statistical methodology, data quality, or quantitative research roles
  • Demonstrated experience with missing-data and imputation methods (e.g., model-based imputation, hot-deck, sequential regression) for filling incomplete data
  • Experience designing and validating quantitative metrics for decision-support, including an understanding of bias, variance, and false-positive/false-negative trade-offs
  • Working knowledge of record linkage / entity resolution concepts, sufficient to build sound metrics on top of matched data
  • Experience with very large datasets on distributed-compute platforms (e.g., Spark-based / lakehouse environments) and strong SQL
  • Strong proficiency in Python and R
  • Comfort working with regulated or restricted data and the governance constraints that accompany it
  • Strong communication skills and the ability to explain and defend methodology to leadership and non-technical stakeholders

Preferred Qualifications:
  • Master's or PhD in Statistics, Applied Mathematics, Econometrics, Data Science, or a related quantitative field (a purely software-focused background is not sufficient for the methodology components of this role)
  • Prior experience supporting large-scale enterprise data programs or platform modernization efforts
  • Experience using external or secondary data to supplement or complete primary datasets
  • Familiarity with Databricks and modern lakehouse architectures
  • Exposure to privacy-preserving analytics techniques or working with regulated data
  • Ability to read and reconcile legacy statistical codebases (e.g., SAS) alongside modern Python/R workflows
  • Background in requirements gathering for enterprise data platforms
  • Experience benchmarking estimates against authoritative reference datasets for anomaly or drift detection

Work Environment:
  • Contract position supporting a large-scale enterprise data modernization engagement
  • Collaborative, cross-functional environment working alongside data engineers, architects, and SMEs
  • Currently in the requirements-gathering phase of a multi-year platform build - a strong opportunity to shape long-term quality-metric and methodology standards rather than inherit a fixed framework
  • Must be eligible to work with regulated data and to obtain any background check or clearance required by the client
What BLN24 brings to the Game:
BLN24 benefits are game changing. We like our team to play hard and that means they need to be taken care of - physically, financially, and emotionally. We make sure to keep them in the game by giving them access to generous medical, dental, and vision plans.
  • You can join one of the fastest growing companies headquartered in the Washington DC Metro Area. We give you the opportunity to work in different sectors, so you have the chance at variety while maintaining stability.
  • Flexibility at BLN24 allows each individual the opportunity to balance quality work and their personal lives. Depending on projects, we allow remote working opportunities so you can always be in the game no matter where you call home.
BLN24 is an Equal Opportunity Employer. We believe people are our strength and understand diverse talents are key to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.

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