Sr. Data Quality Engineer

Zachary Piper Solutions is seeking a Sr. Data Quality Engineer to support a government program responsible for mission-critical systems. The Sr. Data Quality Engineer will design and implement data quality frameworks, validation processes, and monitoring capabilities to ensure trusted data across integrated enterprise platforms. This position will be onsite in Orlando, FL and requires an active Secret clearance.

Responsibilities of the Sr. Data Quality Engineer:

• Design, implement, and maintain enterprise data quality frameworks, validation rules, and monitoring processes to ensure data accuracy, completeness, and consistency across systems.

• Develop automated data validation, profiling, and quality checks to detect anomalies, missing values, or inconsistencies in enterprise datasets.

• Define and track data quality metrics, KPIs, and dashboards to measure and report on data health across multiple platforms.

• Identify, analyze, and resolve data quality issues, performing root-cause analysis and implementing corrective actions to prevent recurrence.

• Collaborate with data architects, systems engineers, developers, and program stakeholders to integrate data quality requirements into system designs, data interfaces, and operational workflows.

• Support data integration, transformation, and migration activities, ensuring accurate data movement between enterprise systems.

• Produce data quality reports and documentation for program leadership and technical stakeholders.

• Assist with system testing and validation efforts during system upgrades, integrations, and enterprise transformation initiatives.

• Onsite Work in Orlando, FL

Qualifications of the Sr. Data Quality Engineer:

• 10+ years of experience supporting data quality, data engineering, analytics, or enterprise data management in DoD, Federal, or large enterprise environments.

• Demonstrated experience with data quality assessment, validation, and profiling.

• Experience supporting data integration and transformation processes across enterprise systems.

• Experience developing data quality metrics, reporting, and dashboards.

• Strong background in data analysis, troubleshooting, and issue resolution.

• Proven ability to collaborate with technical teams and business stakeholders to resolve complex data challenges.

• Experience with SQL, Python, or other data analysis tools preferred.

• Familiarity with data governance frameworks, ETL/ELT pipelines, or data quality/MDM tools is a plus.

• Active Secret Security Clearance

• 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 includes:

• Salary range: $110,000 - $125,000

• Comprehensive benefits package including medical, dental, vision, 401(k), and PTO

This job opens for applications on 03/13/2026. Applications for this job will be accepted for at least 30 days from the posting date.

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Keywords:

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