Data Engineer

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. Primary Responsibilities 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 team members in the development of such information delivery and aids in the automation of data products Acts as trusted adviser and partner to business leads, assisting in the identification of business needs and 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 Ensures compliance with risk management programs, rules and regulations, and cybersecurity practices; identifies opportunities for and supports process improvements; applies disciplined change management practices Requirements Ph.D. and two (2) years of experience in a quantitative/analytical/STEM field Or Master’s degree and four (4) years of experience in a quantitative/analytical/STEM field or technical related field Or Bachelor's degree and six (6) years of experience in a quantitative/analytical/STEM field or technical related field Three (3) years of working programming experience in Python/PySpark, Scala, SQL Three (3) years of working experience in Big Data Technology in Hadoop, Hive, Impala, Spark, or Kafka Preferences 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 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 principles, CI/CD, and Software Development Lifecycle Experience with No‑SQL databases Experience with large‑scale data Lakehouses 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 Position Type Full time Compensation Details Pay ranges are job specific and are provided as a point‑of‑market reference for compensation decisions. Other factors which directly impact pay for individual associates include experience, skills, knowledge, contribution, job location and, most importantly, performance in the job role. The target information listed below is based on the Metropolitan Statistical Area Market Range for where the position is located and the level of the position. Minimum Job Range Target: $109,525.90 USD Median: $139,430.00 USD Incentive Pay Plans: Opportunity to participate in the Long Term Incentive Plan. Benefits Information 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 Location Details Riverchase Operations Center Location Hoover, Alabama Equal Opportunity Employer / including Disabled/Veterans Regions is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or veteran status. Application Process Job applications are accepted electronically through the career site for a minimum of five business days from the date of posting. Higher‑volume positions may remain active for longer than the minimum period due to business need and may be closed at any time thereafter at the discretion of the company. #J-18808-Ljbffr