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.

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 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
• 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

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

Requirements

• Bachelor's degree and six (6) years of experience in a quantitative/analytical/STEM field or technical related field
• Or Master’s degree and four (4) years of experience in a quantitative/analytical/STEM field or 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 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

• 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 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

• Develop and implement comprehensive data migration strategies for the transition from legacy systems to Temenos T24 or other Temenos banking solutions.
• Collaborate with business stakeholders to define migration requirements, timelines, and scope.
• Define Mock conversion strategy and execution plan.
• Conduct data mapping between source and target systems, ensuring that data is correctly transformed for integration into Temenos.
• Create and maintain detailed documentation of data mappings and transformation logic.
• Extract data from various legacy systems, ensuring full and accurate extraction of financial, transactional, and customer data.
• Perform initial data cleansing to remove inconsistencies and improve data quality before migration.
• Conduct comprehensive testing and validation of migrated data to ensure it meets the agreed-upon requirements.
• Resolve any discrepancies in data and perform re-migrations if necessary.
• Coordinate with quality assurance teams to perform functional and system testing to ensure data integrity.
• Error log analysis and co-ordinate with development and business teams for defect/issue remediation.
• Utilize Temenos migration tools (e.g., Temenos Data Migration Toolkit, Temenos Work Bench, TEP, TPM) and other ETL (Extract, Transform, Load) tools to automate data extraction, transformation, and loading.
• Troubleshoot and optimize the migration process to ensure minimal downtime during cutover.
• Work closely with internal teams (business analysts, IT, project managers) and external vendors to ensure a smooth migration process.
• Provide regular updates and reports on the progress of data migration activities.
• Provide post-migration support to resolve any data-related issues and ensure ongoing system performance.
• Conduct training for end-users on how to handle migrated data in the new Temenos system.

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
• Temenos certifications or other relevant banking software certifications.
• Experience in implementing core banking systems or large-scale financial systems.
• Knowledge of regulatory and compliance requirements for data handling in financial institutions.

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 relocation would be at your expense. The location available for this role is Birmingham, AL,

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. As these factors vary by individuals, pay will also vary among individual associates within the same job.

The target information listed below is based on the Metropolitan Statistical Area Market Range for where the position is located and level of the position.

Job Range Target:

Minimum:

50th Percentile:

Incentive Pay Plans:

Location:

Equal Opportunity Employer/including Disabled/Veterans

Job applications at Regions are accepted electronically through our career site for a minimum of five business days from the date of posting. Job postings for 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.