It All Starts with Our People As the leader in automotive preventive maintenance, Valvoline has a proven track record of growth. We continue to invest in our people, processes, and technology to strengthen our ability to efficiently deliver Quick, Easy, Trusted service across all our stores - every day. We're not just in the car business; we're in the people business. And we're looking for humble, hungry, and smart people to help us shape the future of mobility. If you're hungry to drive change and seek a dynamic, collaborative environment that fuels both personal and professional growth, you've found your place with us. Our highest priority is creating a welcoming workplace with team members from a wide variety of diverse backgrounds and experiences. How You'll Make a Difference Valvoline has a rewarding opportunity for a Data Quality Engineer . In this role, you will further enhance our data quality and validation framework by ensuring the accuracy, completeness, reliability, and integrity of data across our systems. Working and applying this framework across all data platforms that we utilize, this role will be responsible for communicating the results of our data quality checks to all areas of the business. Data Profiling and Validation : Analyzing data to identify inconsistencies, errors, and anomalies, and creating and implementing validation rules to ensure data quality Developing Data Quality Frameworks : Designing and implementing processes for data cleansing, standardization, and transformation to improve data quality Monitoring Data Pipelines : Tracking data flows and identifying potential issues in real-time, ensuring data accuracy and reliability Collaboration : Working with data engineers, analysts, and business stakeholders to understand data requirements and ensure data quality standards are met Root Cause Analysis : Investigating the causes of data quality issues and implementing solutions to prevent recurrence Data Governance : Contributing to the development and implementation of data governance policies and procedures Documentation : Creating and maintaining documentation for data quality processes, rules, and standards Visualization : Creating explorable visuals that clearly communicate our Trust Score for any dataset Other duties and responsibilities as determined by Valvoline from time to time at its sole discretion What You'll Need to Succeed Bachelor’s degree in computer science, Information Systems, or a related field 3-5+ years of experience with Python/PySpark, SQL, ETL/ELT, Relational Database, Data Validation, and Cloud Data Platforms Strong Analytical Skills : the ability to analyze complex datasets, identify patterns, and pinpoint areas for improvement Proficiency in SQL : essential for querying and manipulating data in relational databases Data Modeling and ETL Processes : understanding of data structures, data modeling techniques, and Extract, Transform, Load (ETL/ELT) processes Data Quality Tools : familiarity with data quality tools and technologies (Great Expectations) Programming Languages : Python, PySpark, SQL Communication Skills : the ability to effectively communicate data quality insights to both technical and non-technical audiences Problem-Solving Skills : the ability to identify, analyze, and resolve data quality issues Attention to Detail : the ability to meticulously examine data for errors and inconsistencies Knowledge of AWS Environment (Glue, S3, Lake Formation) Knowledge of Databricks Exposure to and knowledge of SAP / BW / HANA environment Must be authorized to work in the U.S. We Take Care of the WHOLE You Health insurance plans (medical, dental, vision) HSA and flexible spending accounts 401(k) Incentive opportunity* Life insurance Short and long-term disability insurance Paid vacation and holidays* Employee Assistance Program Valvoline Instant Oil Change discounts Tuition reimbursement* Adoption assistance* *Terms and conditions apply, and benefits may differ depending on position. Your Path to Valvoline Valvoline provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. #GGL #LI-Remote