Senior Data Quality Engineer

Zachary Piper Solutions is seeking a Senior Data Quality Engineer to support mission‑critical U.S. Government programs. This role is responsible for ensuring the accuracy, completeness, consistency, and reliability of enterprise data used for decision‑making, system integration, analytics, and operational reporting. The Senior Data Quality Engineer will design, implement, and maintain data quality frameworks, validation rules, and monitoring processes, working across engineering, analytics, and stakeholder teams to ensure data quality requirements are embedded throughout system architectures and workflows. This position supports enterprise data modernization and transformation efforts within regulated, large‑scale environments. This role is onsite in Orlando, Florida.

Key Responsibilities:

• Define and implement data quality standards, rules, and metrics across enterprise systems
• Design and maintain automated data validation, profiling, and monitoring processes
• Identify, analyze, and resolve data quality issues, supporting root cause analysis and corrective actions
• Collaborate with data architects, systems engineers, developers, and program stakeholders to integrate data quality requirements into system designs and interfaces
• Support data governance activities, documentation, and compliance with applicable data standards and policies
• Produce data quality reports and dashboards to provide transparency and support decision‑making
• Support testing and validation of data during system integration, migrations, and transformation initiatives
• Ensure data quality practices support enterprise analytics, reporting, and operational effectiveness
• Drive continuous improvement of data processes and quality controls
  
  

Required Qualifications:

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

Preferred (Nice‑to‑Have) Qualifications:

• Experience supporting enterprise transformation, data modernization, or analytics programs
• Familiarity with:
• Data governance frameworks
• ETL / ELT processes and tools
• SQL, Python, or similar data analysis languages
• Data quality, data catalog, or master data management (MDM) tools
• Certifications or training in:
• Data management or data engineering
• Agile, DevSecOps, or CI/CD environments
  

Compensation:

• $115,000 - $130,000
• Full benefits, PTO, Holidays, Insurance, 401k
  
  

Keywords:

Senior Data Quality Engineer, Data Quality Engineering, Data Quality Management, Data Quality Frameworks, Data Validation, Data Profiling, Data Accuracy, Data Completeness, Data Consistency, Enterprise Data Management, Data Integration, Data Transformation, ETL, ELT, Data Analysis, Data Issue Resolution, Root Cause Analysis, Data Quality Metrics, Data Quality Dashboards, Data Monitoring, Data Governance, Data Standards, Master Data Management (MDM), Enterprise Analytics, Data Modernization, Data Testing and Validation, System Integration, Enterprise Systems, Reporting and Analytics, SQL, Python, Data Engineering, Data Architecture, Business and Technical Collaboration, Government Programs, Federal Data Systems, DoD Environment, Enterprise Transformation, Agile Environment, DevSecOps, Secret Clearance