Data Engineer On-Site
Listed on 2026-01-01
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IT/Tech
Data Analyst, Data Engineer
Overview
Thank you for your interest in Regions. At Regions, we believe associates deserve more than just a job. We offer performance-driven individuals a place where they can build a career with opportunities for growth. 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.
Regions is dedicated to safeguarding private and personally identifiable information you submit. The information collected will be reviewed by Regions associates, consultants, and vendors to evaluate your qualifications and experience for job opportunities and will not be used for marketing purposes, sold, or shared outside of Regions unless required by law. Information will be stored in accordance with regulatory requirements and Regions’ retention schedule for a minimum of three years.
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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.
Primary Responsibilities- Partner 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
- Build data pipelines to collect and arrange data and manage data storage in Regions’ big data environment
- Build robust, testable programs for moving, transforming, and loading data using big data tools such as Spark
- Coordinate design and development with Data Products Partners, Data Scientists, Data Management, Data Modelers, and other technical partners to construct strategic and tactical data stores
- Ensure data is prepared, arranged and ready for each defined business use case
- Design and deploy frameworks and microservices to serve data assets to data consumers
- Collaborate with technical and non-technical stakeholders to translate customer needs into Data Design requirements and deliver visualizations and data stories while ensuring data quality and integrity
- Provide consultation to areas of the organization planning to use data for decision making
- Support team members in the development of information delivery and aid in the automation of data products
- Act as trusted adviser and partner to business leads—assisting in identifying business needs and data opportunities, understanding key drivers of performance, 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.
Requirements- 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 working programming experience in Python/PySpark, Scala, SQL
- Three (3) years of working 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 record of delivering operational data solutions including Report and Model Ready Data Assets
- Significant experience working with senior executives in the use of data, reporting and…
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