Full Description

Sr. Data Quality Engineer Remote Contract to hire

Your Responsibilities

• Data Quality Strategy & Leadership
• Establish and enforce enterprise-wide data quality standards, frameworks, and best practices aligned with organizational objectives
• Lead comprehensive data quality initiatives to monitor, validate, and enhance data accuracy, completeness, consistency, and timeliness across all systems
• Design and implement automated data quality validation, profiling, and anomaly detection mechanisms
• Define and track key data quality metrics and SLAs to measure and improve data reliability
• Implement data quality gates and validation checkpoints throughout the data lifecycle
• Data Governance & Compliance
• Develop and maintain comprehensive metadata repositories, data dictionaries, and data lineage documentation to ensure transparency and traceability
• Ensure strict adherence to data privacy regulations (GDPR, CCPA, HIPAA) and industry compliance standards
• Implement and enforce robust security measures including data encryption, masking, tokenization, and role-based access controls
• Participate in data governance committees and contribute to policy development
• Cross-Functional Collaboration & Mentorship
• Partner closely with data scientists, analytics engineers, platform engineers, and business stakeholders to deliver reliable, fit-for-purpose data solutions
• Provide technical mentorship and guidance to junior and mid-level engineers, fostering a culture of excellence in data quality
• Conduct code reviews and promote engineering best practices across the data organization
• Translate complex technical concepts for non-technical stakeholders
• Innovation & Continuous Improvement
• Monitor and evaluate emerging technologies, tools, and methodologies in data quality, observability, and governance
• Identify opportunities for process optimization and technical debt reduction
• Lead proof-of-concept initiatives to validate new technologies and approaches
• Drive strategic recommendations to enhance data reliability, efficiency, and organizational data maturity

Your Qualifications

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related technical field; Master's degree preferred
• 5+ years of progressive experience in data quality engineering, data governance, or data platform engineering
• Demonstrated track record of implementing enterprise-scale data quality solutions
• Proven experience leading technical initiatives and mentoring engineering teams