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Data Integrity Engineer Jobs in Washington (NOW HIRING)

HelioCampus

Data Engineer

Bethesda, MD · On-site +1

$122.20K - $146.80K/yr

As a Data Engineer II, you will be a key architect in building and maintaining our specialized ... Perform comprehensive unit testing and participate in code reviews to ensure data integrity and ...

HelioCampus

Data Engineer

Bethesda, MD · On-site +1

$122.20K - $146.80K/yr

As a Data Engineer II, you will be a key architect in building and maintaining our specialized ... Perform comprehensive unit testing and participate in code reviews to ensure data integrity and ...

Intrepid

Data Warehousing Administrator

Mclean, VA · On-site

Ensure data integrity and efficient data retrieval. * Implement long-term security protections for ... Python programming * Experience in blockchain technology * Experience in data warehouse cost ...

BigBear.ai

Data Engineer with Security Clearance

Washington, DC · On-site

$125.60K - $150.80K/yr

Manage and monitor production datasets, ensuring fault tolerance, redundancy, and data integrity ... Bachelor's degree in computer science, Engineering, Information Systems, or a related field * 4-8 ...

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Data Integrity Engineer information

What are the key skills and qualifications needed to thrive as a Data Integrity Engineer, and why are they important?

To thrive as a Data Integrity Engineer, you need strong analytical skills, a background in computer science or information systems, and experience with data management principles. Familiarity with database platforms (such as SQL), data validation tools, and knowledge of regulatory compliance standards are typically required. Attention to detail, problem-solving ability, and effective communication help ensure data accuracy and facilitate collaboration across teams. These skills are critical for maintaining reliable, secure, and compliant data systems that support informed business decisions.

What are some common challenges Data Integrity Engineers face when ensuring data quality across large, complex systems?

Data Integrity Engineers often encounter challenges such as managing data consistency across multiple databases, identifying and resolving discrepancies caused by data migrations, and ensuring compliance with regulatory standards. Additionally, they must frequently collaborate with software developers and database administrators to implement automated validation processes and address data anomalies promptly. Staying updated with evolving best practices and tools is crucial, as data environments and requirements can change rapidly in large organizations.

What are Data Integrity Engineers?

Data Integrity Engineers are professionals responsible for ensuring the accuracy, consistency, and reliability of data within an organization’s systems. They design and implement processes to prevent data corruption, loss, or unauthorized modification. These engineers work closely with database administrators, data analysts, and IT teams to monitor data flows, validate data quality, and enforce data governance policies. Their role is crucial in industries where high-quality data is essential for decision-making, compliance, and operational efficiency.

What is the difference between Data Integrity Engineer vs Data Quality Analyst?

AspectData Integrity EngineerData Quality Analyst
Primary FocusEnsuring accuracy, consistency, and security of data across systemsAssessing and improving data quality, completeness, and usability
Skills & CertificationsDatabase management, SQL, data governance, certifications like CDMPData analysis, data profiling, quality frameworks, certifications like CDMP
Work EnvironmentIT teams, data engineering, database administrationBusiness analysis, data analysis teams, quality assurance
Industry UsageTech, finance, healthcare, where data security is criticalRetail, marketing, finance, focusing on data usability

While both roles focus on data, Data Integrity Engineers primarily ensure data security and consistency across systems, whereas Data Quality Analysts focus on assessing and improving data quality for business insights. Both roles often collaborate but serve distinct functions within data management.

What are popular job titles related to Data Integrity Engineer jobs in Washington? For Data Integrity Engineer jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Data Integrity Engineer jobs in Washington look for? The top searched job categories for Data Integrity Engineer jobs in Washington are:
Data Integrity Engineer jobs near you

Metadata / Data Cataloging Analyst

Guidehouse

Mclean, VA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 6 days ago

Guidehouse rating

7.5

Company rating: 7.5 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

38th of 57 rated business consultants

Job description

Job Family:
Data Engineering & Architecture Consulting
Travel Required:
Up to 10%
Clearance Required:
Ability to Obtain Public Trust
Job Summary
The Metadata / Data Cataloging Analyst (Senior Consultant) supports enterprise metadata baselining, data catalog tool evaluation, and governance workflow operationalization by executing structured metadata intake, normalization, validation, and evidence-based documentation across DHA stakeholders. This role is hands-on: conducting in-person/virtual interviews with system owners, data stewards, and SMEs to capture and standardize technical, business, operational, and security metadata in catalog-ready formats; and supporting steward validation cycles to ensure accuracy and completeness.
In addition, this role performs hands-on evaluation of data catalog solutions as part of an Analysis of Alternatives (AoA), including requirements-to-capability mapping, demos, evidence capture, gap documentation, and synthesis of tradeoffs aligned to DHA priorities (e.g., integration, lineage, governance workflows, access/security, usability, and vendor support).
The role also contributes to optional governance and lifecycle pilots by supporting federated stewardship readiness assessments (e.g., role clarity, escalation paths, policy execution, and audit traceability) and by helping define and exercise data product lifecycle workflows (e.g., publication, discovery, change control, versioning, SLA alignment, and deprecation), including measurement of compliance to quality and semantic tagging protocols.
Key Responsibilities
  • Execute structured metadata intake & normalization: Conduct in-person/virtual interviews and working sessions with system owners, data stewards, custodians, and SMEs to elicit, capture, and normalize technical, business, operational, and security metadata; reconcile findings with available artifacts (e.g., inventories, data dictionaries) to produce catalog-ready metadata records.
  • Standards-aligned metadata structuring: Apply standardized intake templates and ensure metadata is structured in catalog-ready formats aligned to recognized metadata standards (e.g., ISO/IEC 11179 and DCAT-US) and schema categories (technical, business, operational, security), including ownership/stewardship and sensitivity indicators as applicable.
  • Steward validation cycles & quality controls: Drive completeness/consistency checks, document discrepancies, and coordinate steward validation cycles to confirm definitions, resolve gaps, and improve metadata reliability prior to repository or catalog ingestion.
  • Embedded engagement model: Embed with system owners and designated stewards to improve metadata accuracy and completeness, support rapid clarification loops, and ensure metadata reflects real operational usage and constraints.
  • Hands-on catalog tool evaluation: Perform structured evaluation of catalog solutions across discovery, lineage, governance workflows, UX, and APIs; capture evidence through demos and testing; document strengths, gaps, and constraints; and contribute to comparative scoring inputs aligned to requirement taxonomies (functional, integration, infrastructure/compute, access/security, vendor support/cost).
  • AoA workshop and documentation support: Support criteria refinement sessions, requirement prioritization inputs, and synthesis of findings into decision-quality artifacts (e.g., evaluation notes, evidence logs, comparison matrices, and recommendation inputs).
  • Federated governance & workforce readiness pilot support: Support pilot experiments with federated stewardship roles; assist in capturing observations and metrics on role clarity, policy execution, escalation paths, stewardship effectiveness, metadata lineage demonstration, and policy audit traceability; contribute to pilot reporting outputs.
  • Data product lifecycle workflow support: Help define, test, and refine prototype workflows for data product creation, publication, discovery, change control, versioning, SLA enforcement, and deprecation; support measurement of compliance to data quality rules, role-based controls, and semantic tagging protocols.
  • Program operations & stakeholder coordination: Maintain meeting agendas, stakeholder rosters, minutes, and decision/action logs; maintain RACI and risk/issue/action tracking; support facilitation logistics across in-person/virtual sessions; and maintain document control and versioning discipline.
  • Reporting support: Prepare inputs for monthly and quarterly reporting; maintain supporting artifacts and evidence repositories required for status and governance reporting.

What you will need:
  • US Citizenship is required.
  • Bachelor's degree obtained.
  • Must be able to OBTAIN and MAINTAIN a Federal or DoD "PUBLIC TRUST". Candidates with an ACTIVE SECRET CLEARANCE OR PUBLIC TRUST or suitability are preferred.
  • 5+ years of experience in data management, data governance, metadata management, and/or data cataloging work in complex environments.
  • Demonstrated experience supporting data cataloging/metadata management initiatives, including metadata intake, business glossary/data dictionary concepts, stewardship workflows, and metadata quality practices.
  • Hands-on familiarity with one or more leading data catalog / metadata platforms (e.g., Collibra, Alation, Microsoft Purview, Informatica Axon/EDC) and the ability to evaluate solution capabilities using structured criteria.
  • Working knowledge of metadata standards and structured approaches to defining and managing metadata (including capturing technical and business metadata, stewardship attributes, and sensitivity markers).
  • Working proficiency with SQL and strong comfort with technical concepts such as APIs and integration patterns (sufficient to coordinate with engineers/architects and interpret system artifacts).
  • Experience operating in structured delivery methods (Agile preferred), including managing action items, risks/issues, and producing clear stakeholder-ready documentation.
  • Strong written and verbal communication skills, including the ability to conduct interviews, facilitate working sessions, document evidence, and translate technical metadata into consistent, business-consumable forms.
  • Ability to meet the project's client security and access requirements.

What Would Be Nice to Have:
  • Direct experience conducting or supporting catalog tool evaluations / AoAs, including criteria development, demo scripts, evidence logs, scoring, and synthesis of tradeoffs into decision-ready recommendations.
  • Bachelor's degree in information systems, Computer Science, Data/Information Management, Engineering, or a related field (or equivalent practical experience).
  • Familiarity with federated governance concepts and readiness pilots (e.g., stewardship role clarity, escalation paths, policy execution, lineage demonstration, audit traceability).
  • Familiarity with data product lifecycle governance concepts (e.g., workflow design for publish/discover/change control/deprecate; versioning; SLA alignment; semantic tagging; data quality compliance measurement).
  • Experience building or administering structured metadata repositories/workflows in SharePoint/PowerApps/Power Automate or similar low-code environments used for interim metadata capture and validation.
  • Background in regulated environments (healthcare preferred) and comfort working with metadata classification concepts related to PHI/PII/CUI and audit-oriented documentation.
  • Relevant certifications (e.g., DAMA/CDMP) or formal training in data governance, metadata management, taxonomy/ontology, or information architecture.

What We Offer:
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Benefits include:
  • Medical, Rx, Dental & Vision Insurance
  • Personal and Family Sick Time & Company Paid Holidays
  • Position may be eligible for a discretionary variable incentive bonus
  • Parental Leave and Adoption Assistance
  • 401(k) Retirement Plan
  • Basic Life & Supplemental Life
  • Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
  • Short-Term & Long-Term Disability
  • Student Loan PayDown
  • Tuition Reimbursement, Personal Development & Learning Opportunities
  • Skills Development & Certifications
  • Employee Referral Program
  • Corporate Sponsored Events & Community Outreach
  • Emergency Back-Up Childcare Program
  • Mobility Stipend

About Guidehouse
Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.
If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.
Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

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