Data Engineer - On-Site see locations

Overview

Thank you for your interest in a career  Regions, we believe associates deserve more than just a job and strive to offer performance‑driven individuals opportunities to build a career with Regions. If you are focused on results, dedicated to quality, strength and integrity, and possess the drive to succeed, Regions may be your employer of choice.

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At Regions, the Data Engineer focuses on the evaluation, design, and execution of data structures, processes, and logic to deliver business value through operational and analytical data assets. The Data Engineer uses advanced data design and technical skills to work with business subject matter experts to create enterprise data assets utilizing state‑of‑the‑art data techniques and tools.

• Partners with Regions Technology partners to design, build, and maintain the data‑based structures and systems in support of data and analytics and data product use cases
• Builds data pipelines to collect and arrange data and manage data storage in Regions’ big data environment
• Builds robust, testable programs for moving, transforming, and loading data using big data tools such as Spark
• Coordinates design and development with Data Products Partners, Data Scientists, Data Management, Data Modelers, and other technical partners to construct strategic and tactical data stores
• Ensures data is prepared, arranged and ready for each defined business use case
• Designs and deploys frameworks and micro services to serve data assets to data consumers
• Collaborates with technical and non‑technical stakeholders to translate customer needs into data design requirements and to deliver visualizations and data stories while ensuring data quality and integrity
• Provides consultation to areas of the organization that plan to use data to make decisions
• Supports team members in the development of information delivery and aids in the automation of data products
• Acts as trusted adviser to business leads—assisting in identifying business needs and data opportunities, understanding key performance drivers, interpreting business case data, turning data into business value, and guiding the overall data and analytics strategy

This position is exempt from timekeeping requirements under the Fair Labor Standards Act and is not eligible for overtime pay.

• Bachelor's degree and six (6) years of experience in a quantitative/analytical/STEM field or technical related field
• Or Master’s degree and four (4) years of experience in a quantitative/analytical/STEM field or technical related field
• Or Ph.D. and two (2) years of experience in a quantitative/analytical/STEM field
• Three (3) years of programming experience in Python/PySpark, Scala, SQL
• Three (3) years of experience in Big Data Technology in Hadoop, Hive, Impala, Spark, or Kafka

• Background in Big Data Engineering and Advanced Data Analytics
• Experience developing solutions for the financial services industry
• Experience in Agile Software Development
• Experience or exposure to cloud technologies and migrations
• Prior banking or financial services experience

• Experience building data solutions at scale
• Experience designing and building relational data structures in multiple environments
• Experience with Dev Ops principles, CI/CD, and Software Development Lifecycle
• Experience with No‑SQL databases
• Experience with large‑scale data lake houses at enterprise scale
• Proven ability to deliver operational data solutions including report and model‑ready data assets
• Experience working with…