Senior Data Quality Engineer

About the role

American Century Investments® is a leading global asset manager with over 65 years of experience helping a broad base of clients achieve their financial goals. Our expertise spans global equities and fixed income, multi-asset strategies, ETFs, and private investments. Privately controlled and independent, we focus solely on investment management. But there's an unexpected side to us, too. We direct 40% of our dividends every year-over $2 billion since 2000-to the Stowers Institute for Medical Research. Our ongoing financial support drives the Institute's breakthrough work and mission of defeating life-threatening diseases like cancer and Alzheimer's. So, the better we do for our clients, the more we can do for everyone. All 1,400 of us across the globe are inspired every day by the unique difference our hard work can make in so many lives. It shows in the curiosity we bring to every initiative, the deep relationships we build with our clients, and the way we treat each other in the hallway. If you're excited to learn more about us, we can't wait to learn more about you. Role Summary ACI is seeking an experienced Senior Data Quality Engineer (internally known as Senior Data Quality Specialist) to join our 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 our Kansas City, MO office. This position is not eligible for visa sponsorship. Applicants must be authorized to work in the U.S. without visa sponsorship, now or in the future. How You Will Make an Impact 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. What You Bring to the Team (Required) 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. Additional Assets (Preferred) Master's degree in a related field. The above statements are not intended to be a complete list of all responsibilities, duties, and skills required.

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