Sr. Data Quality Engineer

*Active Secret Clearance needed for consideration*

Zachary Piper Solutions is currently seeking a Sr. Data Quality Engineer to support a DoD training program based in Orlando, Florida. This position is a full-time role that will be fully onsite. This position is critical in ensuring the accuracy, consistency, and reliability of data used across enterprise systems and Government programs. As a Sr. Data Quality Engineer, you will play a pivotal role in designing, implementing, and maintaining data quality frameworks that enable trusted data for decision-making, system integration, and enterprise operations.

Key Responsibilities:

• Define data quality standards, metrics, and validation rules to support enterprise data management.
• Develop automated data validation, profiling routines, and monitoring processes.
• Identify, analyze, and resolve data quality issues through detailed data analysis and root cause investigation.
• Collaborate closely with data architects, system engineers, developers, and program stakeholders to ensure data quality requirements are integrated into system design, workflows, and interfaces.
• Perform data profiling and assessment to ensure accuracy, completeness, consistency, timeliness, and reliability across systems.
• Support testing and validation activities during system integration, migration, and transformation efforts.
• Produce data quality dashboards, reports, and documentation to track metrics, trends, and remediation efforts.
• Support data governance processes and ensure compliance with applicable data policies, standards, and frameworks.
• Contribute to continuous improvement initiatives aimed at enhancing enterprise analytics, reporting, and operational effectiveness.

Requirements:

• Bachelor's degree in Data Science, Computer Science, Information Systems, Engineering, Mathematics, Statistics, or a related technical field
• 10+ years of experience in data quality, data engineering, data analytics, or enterprise data management within 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, reporting, and dashboards
  • Data analysis and issue resolution
  • Collaboration across technical and business stakeholders
• Active Secret security clearance

Nice to Have:

• Experience supporting enterprise transformation, data modernization, or analytics-focused programs
• Familiarity with:
  • Data governance frameworks
  • ETL/ELT processes and tools
  • SQL, Python, or similar data analysis tools
  • Data quality or master data management platforms
• Certifications or training in:
  • Data management or data engineering
  • Agile or DevSecOps environments

Compensation to include:

Salary Range: $100,000 - $126,000 depending on experience

Full Benefits: Medical, Dental, Vision, 401K, PTO, Paid Holidays, Sick Leave if required by law

This job opens for applications on March 1, 2026 and will remain open for at least 30 days from the posting date.

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Keywords: Data Quality, Data Profiling, Data Validation, Data Governance, Data Integration, ETL, ELT, SQL, Python, Data Engineering, Master Data Management, MDM, Data Analytics, Data Standards, Dashboarding, Metrics, DoD, Federal Data, System Integration, Root Cause Analysis, Data Transformation, Data Accuracy, Data Completeness, Data Consistency, Data Reliability, Enterprise Data Management, Data Frameworks, DevSecOps, Agile, Government Programs, Orlando, florida,