Data Integrity Engineer/Data Engineer with( Centers for Medicare & Medicaid Services (CMS) federal healthcare program)

Sky Solutions is seeking an experienced Data Integrity Engineer to support a mission-critical Centers for Medicare & Medicaid Services (CMS) federal healthcare program. The role focuses on data validation, quality analysis, reconciliation, profiling, integrity controls, troubleshooting, and automation across integrated enterprise systems and data repositories.

Responsibilities:

• Develop and execute data validation and integrity processes to ensure accuracy, completeness, consistency, and reliability of enterprise data
• Analyze data across multiple systems to identify discrepancies, inconsistencies, missing data, duplicate records, and data quality issues
• Develop complex SQL queries to perform data profiling, validation, reconciliation, and root-cause analysis
• Establish and implement data quality rules, validation checks, and integrity controls based on business and technical requirements
• Perform source-to-target data validation and reconciliation across integrated applications and enterprise data repositories
• Investigate data anomalies and work with development, database, integration, and business teams to determine root causes and corrective actions
• Validate data transformations, mappings, integrations, and downstream reporting outputs
• Collaborate with business analysts and stakeholders to understand data definitions, business rules, data relationships, and expected outcomes
• Develop automated data quality and validation processes to reduce manual data verification activities
• Monitor data quality trends and identify recurring issues requiring process, application, or data-model improvements
• Support testing activities including data validation, integration testing, regression testing, and production data verification
• Review data interfaces and integration processes to identify potential data integrity risks
• Maintain data validation procedures, data quality documentation, mappings, business rules, and technical specifications
• Support defect analysis and resolution by providing detailed data findings and evidence to development and QA teams
• Ensure data handling and validation activities follow applicable security, privacy, quality, and federal program requirements
• Participate in Agile ceremonies and collaborate with cross-functional technology and business teams
• Identify opportunities to improve data quality, automation, monitoring, and overall data reliability

Requirements:

• Bachelor's degree in Computer Science, Information Technology, Engineering, Data Analytics, or a related field, or equivalent experience
• 5+ years of experience in data quality, data validation, data engineering, data analysis, database development, or a related discipline
• Strong hands-on experience with SQL and relational databases
• Experience performing data profiling, reconciliation, validation, and root-cause analysis
• Strong understanding of data quality concepts including accuracy, completeness, consistency, uniqueness, validity, and timeliness
• Experience validating data across multiple systems and data sources
• Experience developing data quality rules, validation queries, and automated data integrity checks
• Experience troubleshooting data discrepancies and working with technical teams to resolve data-related defects
• Strong understanding of relational data structures, database concepts, data relationships, and data mapping
• Experience working with large and complex datasets
• Strong analytical and problem-solving skills
• Excellent written and verbal communication skills
• Experience working in Agile/Scrum development environments
• Experience supporting federal government or healthcare technology programs
• Experience working with CMS, Medicare, Medicaid, or Program Integrity data
• Experience with Teradata or other enterprise-scale relational database platforms
• Experience with data integration, ETL/ELT processes, APIs, and enterprise application interfaces
• Experience validating data exchanged through REST APIs and distributed applications
• Experience with Java/Spring Boot or other enterprise application environments is a plus
• Experience working with cloud-based data environments, particularly AWS , is a plus
• Experience with data quality, data governance, metadata, and data lineage concepts
• Experience developing automated data validation or reconciliation frameworks
• Experience with reporting and business intelligence environments
• Experience supporting sensitive or regulated healthcare data environments
• Knowledge of federal data security, privacy, and compliance requirements is a plus