Technical Data Quality Engineer - Kuffert

Resource Manager: Karen Kuffert

Location: AHOC or Frisco

Duration: 10/20/25 - 12/31/26

Bill Rate: $105.00

WorkBest Category C (at least two days on site per week)

Technical Data Quality Engineer

The Technical Data Quality Engineering role will support the Data Quality lifecycle from inception to implementation through various distribution channels. This role will ensure data accuracy, consistency, and reliability by establishing data quality rules and standards, monitoring data health, and resolving issues using technical tools and analytical methods. Responsibilities include data profiling, cleansing, reporting on data quality metrics, and collaborating with data engineers, the Data Governance team, and business teams to improve data governance and data integrity across the organization. Key skills involve SQL, programming, data visualization, statistical analysis, and understanding data quality methodologies to ensure data accuracy and support informed decision-making.

Preferred Qualifications:

• 3+ years experience creating mappings/mapplets and data quality rules using Informatica Cloud Data Quality
• 3+ years of experience using release management tools such as BitBucket
• Proficiency in SQL and scripting languages (e.g., Python, JavaScript)
• Proficiency with data visualization tools such as Power BI
• Experience with integrating Data Quality rules and results into data catalog and lineage tools.
• Experience working with software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes and testing
• Experience building and managing automated workflows using programming language
• Experience working with Product Managers to prioritize work; and Scrum Masters to create stories and complete sprint deliverables
• AWS Certification highly desired
• Experience in the banking and financial services fields