Data Quality Engineer

BOK Financial•Richardson, TX

About The Position

The Senior Data Quality Engineer is responsible for supporting and executing enterprise-level data quality initiatives, including data profiling, measurement, process analysis, documentation, issue detection, root cause analysis, and remediation testing. This role partners closely with business and technical data stewards to identify data quality issues, recommend practical solutions, and contribute to the development and maintenance of business and data architecture artifacts. The position plays a critical role in advancing a strong, sustainable data quality culture by ensuring that data quality practices are applied in a manner that supports business strategy, complies with regulatory expectations, and improves operational efficiency across the organization. Our team thrives on collaboration, continuous learning, and innovation. We work closely together, leveraging cutting-edge technologies and sharing our expertise to solve complex problems efficiently. By encouraging creativity and adaptability, we experiment with new tools and methodologies, fostering a dynamic and tech-forward work environment. Additionally, we focus on creating a positive and supportive atmosphere, ensuring everyone feels valued and motivated to excel.

Requirements

Bachelor’s degree in MIS, Statistics, Computer Science, or a related field.
Minimum 5–7 years of experience in a data-driven or data governance–focused role within the financial services sector is strongly preferred.
Experience developing solutions on AWS or another cloud platform.
Experience with cloud data warehousing (e.g., Snowflake) and SQL compilation/orchestration frameworks (e.g., dbt).
Strong understanding of data quality practices and enterprise information management concepts
Working knowledge of regulations such as CCPA, GDPR, HIPAA, SOX, and GLBA
Strong SQL skills required
Experience designing and executing data integrity and validation tests
Experience with data modeling and process documentation tools
Strong written and verbal communication skills with the ability to translate complex data issues into clear insights
Excellent analytical and problem-solving skills, including the ability to identify patterns, dependencies, and root causes
Strong organizational skills with the ability to manage multiple priorities in a dynamic environment
Ability to work independently while collaborating effectively across business and technical teams
Demonstrated professionalism, curiosity, and commitment to data quality excellence

Nice To Haves

Experience with Power BI or similar reporting tools preferred

Responsibilities

Profile and validate enterprise data to identify quality exceptions, trends, and root causes.
Analyze data quality issues for senior leaders and partners, providing clear recommendations for resolution.
Collaborate with Business and Technical Data Stewards to define quality rules, monitor metrics, and verify remediation results.
Develop and maintain data quality indicators, scorecards, and reports that strengthen transparency and decision‑making.
Contribute to improving enterprise data quality frameworks, standards, and best practices.
Ensure data quality considerations are embedded in system changes and data‑related initiatives.
Promote data quality awareness through documentation, training, and ongoing stakeholder engagement.
Build processes, KPIs, and metadata practices that support governance, MDM rules, regulatory requirements, and the adoption of BOKF tools and automation.