ETL Developer - On-Site

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 skills to work with business subject matter experts to create enterprise data assets utilizing state of the art data techniques and tools.

• Partners with Regions Technology partners to design, build, and maintain 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
• Coordinates design and development with Data Products partners, Data Scientists, Data Management, Data Modelers, and other Technical partners to construct strategic and tactical data stores
• Ensures data is prepared, arranged and ready for each defined business use case
• Designs and deploys frameworks and micro services to serve data assets to data consumers
• Collaborates and aligns with technical and non‑technical stakeholders to translate customer needs into Data Design requirements, 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
• Acts as trusted adviser and partner to business leads—assisting in the identification of business needs & data opportunities, understanding key drivers of performance, interpreting business case data drivers, turning data into business value, and participating in the guidance of the overall data and analytics strategy

• Bachelor’s degree and six (6) years of experience in a quantitative/analytical/STEM field or a technical related field
• Or Master’s degree and four (4) years of experience in a quantitative/analytical/STEM field or a 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 Technologies such as Hadoop, Hive, Impala, Spark, or Kafka

• 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 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
• Strong SQL expertise building complex ETL pipelines
• Experience with Data Quality, Data Catalog and Data Lineage
• Core Banking experience – preferred
• Experience with data modeling (tools such as Lucid)
• Jira experience helpful (including dashboard creation)
• Iterative code delivery using sprint planning, product demos
• Agile methodology experience helpful in this role

Full time

Onsite – Birmingham, AL;
Atlanta, GA; or Charlotte, NC.

Pay ranges are job specific and are provided as a point‑of‑market reference for compensation decisions. Other factors which directly impact pay include experience, skills, knowledge, contribution, job location and, most importantly, performance in the job role.

Minimum: $ USD

Median: $ USD

Incentive Pay Plans:
Opportunity to participate in the Long Term Incentive Plan.

• 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

Equal Opportunity Employer / Includes Disabled / Veterans