Data Engineer [On-Site]

Regions Bank•Hoover, AL

1d•Onsite

About The Position

At Regions, the Data Engineer supports the Data and Analytics organization by designing, optimizing, and developing 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.

Requirements

Bachelor's degree and four (4) years of experience in a quantitative/analytical/STEM field or technical related field
Or Master's degree and two (2) years 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

Nice To Haves

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 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

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