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

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!

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 [2.27.26] . 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