Regions is seeking a Senior Data Engineer to design, build, and maintain data structures, pipelines, and analytics assets that deliver business value. The role collaborates with technology partners, data scientists, data management, and business stakeholders to implement enterprise data stores and data products, ensure data quality, and enable data-driven decision making. Responsibilities include building robust data pipelines using Spark and other big data technologies, moving and transforming data with Python/PySpark, Scala, and SQL, and deploying frameworks and microservices to serve data assets. The candidate will translate business needs into data design requirements and contribute to data visualization and storytelling. Qualifications include a Ph.D. with four+ years, an MS with six+ years, or a BA/BS with eight+ years in a quantitative field; five+ years of programming experience in Python/PySpark, Scala, SQL; five+ years of experience with big data tech (Hadoop, Hive, Impala, Spark, Kafka); preference for background in financial services, Agile software development, and cloud technologies/migrations; experience with DevOps, CI/CD, NoSQL, and enterprise-scale data lakehouses; strong communication skills and ability to work with executives to translate data into insights. This onsite role is hybrid with in-office three or more days per week, and locations include Birmingham, AL; Atlanta, GA; and Charlotte, NC. Regions does not sponsor visas for this position. This is a full-time position with compensation provided as a market reference.

Regions is seeking a Senior Data Engineer to design, build, and maintain data structures, pipelines, and analytics assets that deliver business value. The role collaborates with technology partners, data scientists, data management, and business stakeholders to implement enterprise data stores and data products, ensure data quality, and enable data-driven decision making. Responsibilities include building robust data pipelines using Spark and other big data technologies, moving and transforming data with Python/PySpark, Scala, and SQL, and deploying frameworks and microservices to serve data assets. The candidate will translate business needs into data design requirements and contribute to data visualization and storytelling. Qualifications include a Ph.D. with four+ years, an MS with six+ years, or a BA/BS with eight+ years in a quantitative field; five+ years of programming experience in Python/PySpark, Scala, SQL; five+ years of experience with big data tech (Hadoop, Hive, Impala, Spark, Kafka); preference for background in financial services, Agile software development, and cloud technologies/migrations; experience with DevOps, CI/CD, NoSQL, and enterprise-scale data lakehouses; strong communication skills and ability to work with executives to translate data into insights. This onsite role is hybrid with in-office three or more days per week, and locations include Birmingham, AL; Atlanta, GA; and Charlotte, NC. Regions does not sponsor visas for this position. This is a full-time position with compensation provided as a market reference.