Regions Bank


Job description

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. 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.

Regions is dedicated to taking appropriate steps to safeguard and protect private and personally identifiable information you submit. The information that you submit will be collected and reviewed by associates, consultants, and vendors of Regions in order 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. Such information will be stored in accordance with regulatory requirements 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 supports the Data and Analytics organization by designing, optimizing, and developing data pipelines to support machine learning and 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
  • 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.
  • Ensures data is prepared, arranged and ready for each defined business use case
  • 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

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


  • Bachelor's degree and three (3) years of experience in a quantitative/analytical/STEM field or technical related field
  • Or Master's degree and one (1) year of experience in in a quantitative/analytical/STEM field
  • Or Ph.D. in a quantitative/analytical/STEM field
  • One (1) year of working programming experience in Python/PySpark, Scala, SQL
  • One (1) year of working experience in Big Data Technology in Hadoop, Hive, Impala, Spark, or Kafka


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

Skills And Competencies

  • Experience building data solutions at scale
  • Experience designing and building relational data structures in multiple environments
  • Experience with Airflow, Argo, Luigi, or similar orchestration tool
  • Experience with DevOps principals and CI/CD.
  • Experience with Docker and Kubernetes
  • Experience with No-SQL databases such as HBase, Cassandra, or MongoDB
  • Experience with streaming technologies such as Kafka, Flink, or Spark Streaming
  • Experience working with Hadoop ecosystem building Data Assets at an enterprise scale
  • 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 technical background including database and business intelligence skills
  • Strong communication skills through written and oral presentations

Position Type

Full time

Benefits Information

Regions offers a benefits package that is flexible, comprehensive and recognizes that one size does not fit all for associates. Listed below is a synopsis of the benefits offered by Regions for informational purposes, which is not intended to be a complete summary of plan terms and conditions.

  • Paid Vacation/Sick Time
  • 401K with Company Match
  • Medical, Dental and Vision Benefits
  • Disability Benefits
  • Health Savings Account
  • Flexible Spending Account
  • Life Insurance
  • Parental Leave
  • Employee Assistance Program
  • Associate Volunteer Program

Please note, benefits and plans may be changed, amended, or terminated with respect to all or any class of associate at any time. To learn more about Regions’ benefits, please click or copy the link below to your browser.

Location Details

Regions Center - Birmingham


Birmingham, Alabama

Bring Your Whole Self to Work

We have a passion for creating an inclusive environment that promotes and values diversity of race, color, national origin, religion, age, sexual orientation, gender identity, disability, veteran status, genetic information, sex, pregnancy, and many other primary and secondary dimensions that make each of us unique as individuals and provide valuable perspective that makes us a better company and employer. More importantly, we recognize that creating a workplace where everyone, regardless of background, can do their best work is the right thing to do.

OFCCP Disclosure: Equal Opportunity Employer/Disabled/Veterans

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