Senior Data Quality Engineer

American Century Investments • Kansas City, MO

2d • Hybrid

About The Position

American Century Investments is seeking an experienced Senior Data Quality Engineer (internally known as Senior Data Quality Specialist) to join their high-performing Data Management team. This role is ideal for a hands-on, technically strong data quality professional with deep experience designing business rules and delivering cloud-based, enterprise-scale data quality solutions. The Senior Data Quality Engineer will report to the Manager, Software Engineering and play a key role in ensuring trusted, reliable data across the organization. This hybrid position will be based out of their Kansas City, MO office. Applicants must be authorized to work in the U.S. without visa sponsorship, now or in the future.

Requirements

• Bachelor’s degree in Computer Science, Management Information Systems, or a related field.
• 6+ years of experience in data quality engineering or data engineering, with a proven track record designing and leading enterprise-scale data quality frameworks or platforms.
• Strong hands-on experience with AWS cloud-native services, Snowflake, and Datadog.
• Proficiency with Glue ETL, Tableau, and PowerBI.
• Advanced experience with Python, SQL, and data quality automation.
• Solid understanding of data governance principles and practices.
• Strong analytical, data exploration, and problem-solving skills.
• Excellent communication and interpersonal skills, with the ability to collaborate effectively across all levels of the organization.
• Ability to work independently as well as within a highly collaborative, Agile team environment.
• Demonstrated experience building and maintaining strong business partnerships.
• Demonstrates the American Century Investments Winning Behaviors: Client Focused, Courageous and Accountable, Collaborative, Curious and Adaptable, Competitively Driven.

Nice To Haves

• Master’s degree in a related field.

Responsibilities

• Lead and implement end-to-end data quality (DQ) solutions in the cloud using AWS technologies.
• Design and maintain a scalable data quality platform leveraging AWS services (Glue, Lambda, SNS, SQS, S3, Athena), Datadog, Snowflake, and BI tools such as PowerBI and Tableau to support automated reconciliations, data profiling, metrics, and dashboards.
• Proactively identify, analyze, and resolve data quality issues by reviewing reports, KPIs, patterns, and trends to ensure data accuracy and reliability.
• Apply advanced analytical and predictive techniques to diagnose root causes and anticipate potential data quality risks.
• Develop and deliver clear, actionable reports and insights for management and stakeholders, translating complex data findings into informed decision-making.
• Partner closely with engineers, developers, and business leaders to drive process improvements, recommend system enhancements, and support data governance strategies.

Benefits

• Competitive compensation package with bonus plan
• Generous PTO and competitive benefits
• 401k with 5% company match plus annual performance-based discretionary contribution
• Tuition reimbursement, formal mentorship program, live and online learning

What This Job Offers

• Job Type: Full-time
• Career Level: Senior