Location: Remote

Duration: 6 months Contract

Rate: $40-45/hr

Client is expecting 5-7 years of experience with purely data projects.

This role requires ensuring the integrity and reliability of enterprise data ingestion processes across critical healthcare platforms. This role is pivotal in establishing and maintaining data quality standards, validating data flows, and ensuring our data pipelines deliver trusted information to downstream consumers and business stakeholders.

You will work at the intersection of data engineering, quality assurance, and business analysis—translating technical data flows into business value while ensuring accuracy, completeness, and reliability across our data ecosystem.

Key Responsibilities

• Validate ingested data against business rules, technical specifications, and quality standards
• Conduct data profiling and analysis to identify quality issues, anomalies, and improvement opportunities
• Perform data reconciliation activities to ensure accuracy and completeness across systems
• Validate data transformations and dimensional modeling implementations
• Monitor data pipeline health and proactively identify quality degradation or failures
• Investigate and resolve data quality incidents including root cause analysis
• Establish alerting and notification mechanisms for quality issues
• Document issues, patterns, and resolutions for continuous improvement
• Track and report on data quality metrics, SLAs, and key performance indicators
• Analyze downstream impact of data quality issues on business operations
• Generate quality reports and feedback mechanisms for rejected or problematic data
• Collaborate with technical and business teams to define and refine quality requirements
• Design and implement automated testing frameworks for data pipelines and ingestion processes
• Develop comprehensive test strategies covering functional, performance, and regression scenarios
• Build reusable validation utilities and quality check libraries