Senior Data Quality Engineer

Position Title

Senior Data Quality Engineer

Data & Analytics | Information Technology

Full‑Time

Hybrid (U.S.)

Minimal to None

Public Sector Solutions Group (PS2G) is a management consulting and technology solutions firm delivering innovative services to federal, state, local government, utility, healthcare, and commercial organizations. Our expertise spans Artificial Intelligence (AI), Data & Analytics, Cybersecurity, Digital Transformation, Enterprise Program Management, Business Process Improvement, and Organizational Change Management.

Our consultants work at the intersection of business and technology, helping organizations modernize enterprise platforms, improve data integrity, strengthen governance, and enable trusted analytics that support mission‑critical decision‑making.

As our Data & Analytics practice continues to grow, we are seeking experienced professionals who are passionate about engineering enterprise‑scale data quality solutions that improve the reliability, consistency, and trustworthiness of organizational data.

The Senior Data Quality Engineer serves as a senior technical contributor responsible for designing, developing, testing, automating, and maintaining scalable technical controls that measure and improve data quality across enterprise data assets, pipelines, reports, dashboards, and data products.

This role transforms business data quality requirements into executable technical solutions, including validation logic, monitoring jobs, dashboards, alerts, exception handling workflows, and reusable engineering patterns. The Senior Data Quality Engineer collaborates closely with Data Quality Analysts, Data Owners, Data Stewards, Data Engineers, Application Development teams, Enterprise Architects, Platform Engineering teams, and business stakeholders to integrate automated quality controls throughout enterprise data pipelines and operational processes.

The position leads complex root cause analysis by tracing defects across source systems, data transformations, integrations, and reporting environments while implementing scalable technical remediation solutions. Unlike traditional Data Quality Analyst positions, this role is responsible for engineering, automating, and operationalizing enterprise data quality controls rather than focusing solely on analysis and reporting.

The Senior Data Quality Engineer also contributes to enterprise engineering standards, mentors junior engineers, and continuously improves the scalability, reliability, maintainability, and performance of enterprise data quality solutions.

High‑quality data is essential for accurate reporting, analytics, Artificial Intelligence, regulatory compliance, and informed business decisions. As the Senior Data Quality Engineer, you will play a critical role in building the technical foundation that enables trusted enterprise data. Your work will help prevent data defects, automate quality monitoring, improve operational efficiency, and strengthen enterprise data governance.

• Design and implement enterprise‑scale data quality engineering solutions and technical control frameworks.
• Develop scalable validation logic and automated quality controls across enterprise data environments.
• Engineer reusable technical patterns that improve consistency and efficiency across multiple data domains.

• Build automated validation rules and reconciliation routines.
• Develop enterprise monitoring systems and automated quality checks.
• Create dashboards, alerts, scorecards, and exception handling workflows.
• Design technical solutions that continuously monitor enterprise data quality.

• Trace data quality issues through source systems, ETL processes, integrations, APIs, and reporting layers.
• Implement scalable technical remediation strategies that address systemic data quality issues.
• Partner with Data Quality Analysts, Data Stewards, Application Development Teams, and Business Stakeholders.
• Embed automated quality controls into enterprise data pipelines and…