Data Engineer

Job summary

Thank you for your interest in a career at Regions. At Regions, we believe associates deserve more than just a job. We believe in offering performance-driven individuals a place where they can build a career --- a place to expect more opportunities.

Benefits

Qualifications

• If you are focused on results, dedicated to quality, strength and integrity, and possess the drive to succeed, then we are your employer of choice.
• and experience for job opportunities and will not be used for marketing purposes, sold, or shared outside of Regions unless required by law.
• Such information will be stored in accordance with regulatory
• and in conjunction with Regions’ Retention Schedule for a minimum of three years.
• You may review, modify, or update your information by visiting and logging into the careers section of the system.
• Job Description:
• 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
• and work to deliver world-class visualizations, data stories while ensuring data quality and integrity
• Provides consultation to all areas of the organization that plan to use data to make decisions
• Supports any team members in the development of such information delivery and aid in the automation of data products
• Ensures compliance with risk management programs, rules and regulations, and cybersecurity practices; identifies opportunities for and supports process improvements; applies disciplined change management practices

Responsibilities

• 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

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Work schedule

Industry

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