Data Engineer - On Site

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Job Description:

At Regions, the Data Engineer supports the Data and Analytics organization by assisting in the design, optimization, and development of data pipelines to support machine learning and artificial intelligence (AI) models. The Data Engineer works with a cross functional team of Data Scientists and Software Developers on feature engineering and scoring pipelines. This role supports software developers, database architects, data analysts, and data scientists on data initiatives and ensures optimal data delivery architecture is consistent throughout ongoing projects.

Primary 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
• Assists with building 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 and Snowflake
• Ensures data is prepared, arranged and ready for each defined business use case
• Continuously seeks opportunities for growing knowledge and skills as it relates to daily tasks
• Ensures compliance with risk management programs, rules and regulations, and cybersecurity practices; identifies opportunities for and supports process improvements; applies disciplined change management practices

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

Requirements

• Master's degree in quantitative/analytical/STEM field
• Or Bachelor's degree and two (2) years of experience

Preferences

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

Skills and Competencies

• Ability to interpret and ensure compliance with applicable rules, regulations, and industry guidance
• Experience building data solutions at scale
• Experience designing and building relational data structures in multiple environments
• Experience with DevOps principals, CI/CD, and Software Development Lifecycle
• Experience with No-SQL databases
• Experience working with large-scale data Lakehouses
• Proven record of accomplishment 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 visualizations to support strategic and operational decision making
• Strong ability to transform and integrate complex data from multiple sources into accessible, understandable, and usable data assets and frameworks
• Strong background in synthesizing data and analytics in a large (Fortune 500), complex, and highly regulated environment
• Strong communication skills through written and oral presentations
• Strong technical background including database and business intelligence skills

This position is intended to be onsite, now or in the near future. Associates will have regular work hours, including full days in the office three or more days a week.  The manager will set the work schedule for this position, including in-office expectations.  Regions will not provide relocation assistance for this position, and rel