Sr. Data Quality Engineer

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 support 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!

Responsibilities of the Sr. Data Quality Engineer include:

• 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.

Qualifications for the Sr. Data Quality Engineer include:

• Minimum 10 years of experience in data quality, data engineering, data analytics, or enterprise data management within a DoD, Federal, or large enterprise environment.
• Proven experience with:
  • Data quality assessment, validation, and profiling
  • Data integration and transformation processes
  • Development of data quality metrics, KPIs, and dashboards
  • Data analysis, issue investigation, and resolution
  • Cross‑functional collaboration with technical and business stakeholders
• Active Secret security clearance required.
• Bachelor’s degree in data science, Computer Science, Information Systems, Engineering, Mathematics, Statistics, or a related technical field.

Compensation for the  Sr. Data Quality Engineer  include:

• Salary Range: $120,000 - 125,000
• Comprehensive Benefits: TBA

This job opens for applications on [3.16.26]. Applications for this job will be accepted for at least 30 days from the posting date.

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Keywords:

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