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Zachary Piper Solutions • Orlando, Florida, United States
Salary: $120,000 - $125,000 / year
Role & seniority: Sr. Data Quality Engineer; 10+ years in data quality/engineering/analytics; DoD/Federal or large enterprise experience; on-site role.
Stack/tools: data quality assessment, validation, profiling; data integration/transformation; metrics, KPIs, dashboards; data governance; reporting and analytics; collaboration with data architects, systems engineers, and stakeholders; security: Active Secret clearance.
Define/maintain data quality standards and metrics across enterprise datasets.
Develop automated validation, profiling, and quality checks; identify and resolve data quality issues; perform root cause analysis.
Produce data quality reports/dashboards; support system integration, data transformations, and continuous process improvement.
10+ years in data quality/engineering/analytics or enterprise data management
Experience with data quality assessment, validation, profiling; data integration/transformation; metrics and dashboards
Cross-functional collaboration; DoD/Federal or large enterprise background
Active Secret security clearance; Bachelor’s degree in a related technical field
Data governance activities; audit readiness; experience with system integration testing
Knowledge of data architecture alignment; Agile environments; DoD/Federal programs
Location & work type: on-site five days/week; primary posting in McLean, VA with on-site requirement in Or
Zachary Piper Solutions is seeking a Sr. Data Quality Engineer join a trusted government solutions partner located in McLean, VA. The Sr. Data Quality Engineer will
Supports government programs by ensuring data is accurate, complete, consistent, and reliable for informed decision‑making, system integration, and enterprise operations. This position will be on-site in Orlando, FL five days per week!
Define and maintain data quality standards and metrics to ensure accuracy, completeness, consistency, and reliability across enterprise datasets. Develop automated data validation, profiling routines, and quality checks to proactively identify anomalies and ensure data integrity. Identify, analyze, and resolve data quality issues, providing recommendations and implementing corrective actions. Support root cause analysis to address recurring data defects and improve long‑term data integrity. Collaborate with data architects, systems engineers, developers, and program stakeholders to integrate data quality requirements into system designs, interfaces, and workflows. Assist with data governance activities, including adherence to data standards, policies, and best practices. Document data quality processes, findings, and outcomes for knowledge sharing and audit readiness. Produce data quality reports, dashboards, and performance metrics to support analytics, decision‑making, and program visibility. Participate in system integration and data transformation efforts, including testing and validation to ensure high‑quality data delivery. Drive continuous improvement of data processes to enhance enterprise analytics, reporting capabilities, and operational effectiveness.
Minimum 10 years of experience in data quality, data engineering, data analytics, or enterprise data management within a DoD, Federal, or large enterprise environment.
Salary Range: $120,000 - 125,000
Comprehensive Benefits: TBA
This job opens for applications on [2.27.26]. Applications for this job will be accepted for at least 30 days from the posting date.
Data Quality
Data Validation Data Profiling Data Integrity Data Standards Data Governance Data Quality Metrics KPIs Dashboards Data Analysis Issue Resolution Root Cause Analysis Data Transformation Data Integration Enterprise Data Management Data Quality Automation System Integration Data Testing Data Migration Data Documentation Audit Readiness Reporting Analytics Support Operational Effectiveness DoD Experience Federal Programs Cross‑Functional Collaboration Systems Engineering Support Data Architecture Alignment Agile Environments Enterprise Workflows Security Compliance Secret Clearance Data Engineering Data Analytics Information Systems Data Science Technical Stakeholder Engagement Continuous Process Improvement