Data Quality Engineer

Salary Range: 85000 to 100000 (Currency: USD) (Pay period: per-year-salary)

Primary Responsibilities:

Design, develop, and maintain automated data quality tests and validation processes for cloud-based data ingestion, transformation, and analytical workloads. 
Perform data reconciliation and equivalence testing between source systems, legacy platforms, and Summit datasets to verify data accuracy and migration parity. 
Implement data quality checks for completeness, consistency, validity, uniqueness, and timeliness in accordance with Government-approved standards. 
Develop and maintain automated monitoring, anomaly detection, and alerting capabilities to identify data quality issues and pipeline failures. 
Validate compliance with established data freshness and reliability Service Level Agreements (SLAs), documenting test results, exceptions, and residual risks before dataset publication. 
Collaborate with data engineers, data governance specialists, and data owners to implement approved quality rules, thresholds, and publication criteria. 
Investigate data discrepancies, perform root cause analysis, and coordinate corrective actions to prevent recurring quality issues. 
Maintain data quality rules, test cases, validation results, and supporting documentation in the Data Quality Rule Library and related repositories. 
Develop and maintain data quality metrics, dashboards, and reports, including contributions to the Summit Data Quality and Ingestion Dashboard. 
Support production monitoring and release readiness by validating corrective actions, retesting affected datasets, and confirming compliance with established quality standards. 

Minimum Requirements:

Bachelor's degree in Computer Science, Information Technology, Data Analytics, or a related technical discipline, or an equivalent combination of education and relevant professional experience. 
Five or more years of professional experience in data quality engineering, data validation, data testing, or a related discipline. 
Strong proficiency in Structured Query Language (SQL) for data profiling, reconciliation, validation, and analysis. 
Experience developing automated data quality tests and validation scripts using Python or comparable programming languages. 
Experience testing Extract, Transform, and Load (ETL) and Extract, Load, and Transform (ELT) processes in enterprise data environments. 
Experience validating data accuracy, completeness, consistency, and integrity across multiple source systems and data platforms. 
Experience with data reconciliation, regression testing, anomaly detection, and root cause analysis. 
Familiarity with cloud-based data platforms, data warehouses, and lakehouse architectures. 
Experience documenting data quality rules, test results, defects, and corrective actions. 
Strong analytical, troubleshooting, communication, and collaboration skills. 
Ability to meet VA personnel vetting, background investigation, and system access requirements. 
 The ability to travel for 1-2 domestic business trips per year. 

Preferred Qualifications:

Experience supporting VA or other federal agency data modernization initiatives. 
Hands-on experience with Microsoft Azure data services, Azure Databricks, or Delta Lake. 
Experience implementing enterprise data quality frameworks or tools such as Great Expectations, Soda, or comparable technologies. 
Knowledge of Data Management Association (DAMA) data quality principles and enterprise data governance practices. 
Experience implementing data observability solutions and automated quality monitoring for large-scale data pipelines. 
Experience working with sensitive healthcare data and federal privacy and security requirements. 
Relevant certification in data management, data quality, cloud data engineering, or data analytics. 

Benefits (including but not limited to):

Health, dental, and vision plans
Optional FSA
Paid parental leave
Safe Harbor 401(k) with employer contributions 100% vested from day 1
Paid time off and 11 paid holidays
No cost group term life/AD&D plan, and optional supplemental coverage
Pet insurance
Monthly phone and internet stipend
Tuition and training reimbursement