Senior Data Quality Engineer
March 28
🏡 Remote – New York
Description
• Design and build an end-to-end testing system for data validation and quality assurance. • Develop and maintain testing standards and procedures to ensure data integrity across all systems. • Collaborate with cross-functional teams to understand data usage and implications for data quality. • Implement data quality metrics and monitoring systems to proactively identify issues. • Lead the creation of a data quality dashboard to communicate data quality metrics to stakeholders. • Train and mentor team members on data quality concepts, tools, and processes. • Drive continuous improvement initiatives in data quality and testing methodologies. • Stay abreast of industry trends and advancements in data quality and testing technologies.
Requirements
• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field. • Minimum of 7 years of experience in data quality engineering, data management, or a similar role. • Strong understanding of data structures, data modeling, and software architecture. • Experience with data quality tools and technologies. • Proficiency in SQL and experience with scripting languages (Python, R, etc.). • Excellent problem-solving skills and attention to detail. • Strong communication and leadership abilities.
Benefits
• Competitive Base Salary • Equity • Range of Healthcare Plans • Paid Parental Leave • Unlimited Vacation • Flexible Work Schedule • Compensation range: $155,000-220,000+ / year
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