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.

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Job Description:

At Regions, the Cloud Data Engineer supports the Data and Analytics organization by assisting in the design, optimization, and development of data pipelines and machine learning models.  The Cloud Data Engineer works on cross functional teams to develop the reusable Infrastructure as Code (IaC) to build data pipelines, create new Cloud Infrastructure, and support feature engineering and deployment of machine learning and Artificial Intelligence (AI) models. 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 casesBuilds data pipelines to collect and arrange data and manage data storage in Regions’ big data environmentsBuilds robust, testable programs for moving, transforming, and loading data using cloud-based Big Data tools such as Glue, Step-Functions, Snowflake, Kafka, and SagemakerEnsures data is prepared, arranged and ready for each defined business use caseProvides consultation to all areas of the organization that plan to use data to make decisionsSupports 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.

Requirements

Bachelor's degree and four (4) years of experience in a quantitative/analytical/STEM field or technical related fieldOr Master's degree and two (2) years of experience in in a quantitative/analytical/STEM fieldOr Ph.D. in a quantitative/analytical/STEM field One (1) year of working programming experience in Python, Scala, SQL, and TerraformOne (1) year of working experience in cloud-based Big Data technology such as Elastic Map Reduce (EMR), AWS Glue, BigQuery, or Snowflake

Preferences

Background in Big Data Engineering and Advanced Data Analytics  Experience developing solutions for the financial services industryExperience in Agile Software DevelopmentPrior banking or financial services experience

Skills and Competencies

Experience building data solutions at scaleExperience with cloud technologies and migrationsExperience designing and building relational data structures in multiple environmentsExperience with Airflow, Prefect, AWS Step functions, or similar orchestration toolExperience with DevOps principals and CI/CDExperience with Docker and KubernetesExperience with No-SQL databases such as DynamoDB, Cassandra, or MongoDBExperience with streaming technologies such as Confluent Kafka, Flink, or Spark StreamingExperience working with cloud services at an enterprise scale, including data engineering with private networking and zero-trust computing.Proven record of accomplishment of delivering operational Data solutions including Report and Model Ready Data AssetsSignificant experience working with senior executives in the use of data, reporting and visualizations to support strategic and operational decision makingStrong ability to transform and integrate complex data from multiple sources into accessible, understandable, and usable data assets and frameworksStrong background in synthesizing data and analytics in a large (fortune 500), complex, and highly regulated environmentStrong communication skills through written and oral presentationsStrong technical background including database and business intelligence skillsExperience with Data Modeling techniques including dimensional and time series modeling such as Star Schemas or Data Vault

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.  

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. 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:

$86,581.20 USD

Median:

$116,330.00 USD

Incentive Pay Plans:

This job is not incentive eligible.

Benefits Information

Regions offers a benefits package that is flexible, comprehensive and recognizes that "one size does not fit all" for benefits-eligible 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 Time401K with Company MatchMedical, Dental and Vision BenefitsDisability BenefitsHealth Savings AccountFlexible Spending AccountLife InsuranceParental LeaveEmployee Assistance ProgramAssociate 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.

https://www.regions.com/welcometour/benefits.rf

Location DetailsPerimeter Hill

Location:Nashville, Tennessee

Bring Your Whole Self to Work  

   

We have a passion for creating an inclusive environment that promotes and values the differences that make each of us stand out as unique individuals and help 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 and thrive is the right thing to do.

   

OFCCP Disclosure: Equal Opportunity Employer/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.