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. Regions is dedicated to taking appropriate steps to safeguard and protect private and personally identifiable information you submit. The information that you submit will be collected and reviewed by associates, consultants, and vendors of Regions in order to evaluate your qualifications and experience for job opportunities and will not be used for marketing purposes, sold, or shared outside of Regions unless required by law. Such information will be stored in accordance with regulatory requirements and in conjunction with Regions' Retention Schedule for a minimum of three years. You may review, modify, or update your information by visiting and logging into the careers section of the system. 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 cases
Builds data pipelines to collect and arrange data and manage data storage in Regions' big data environments
Builds robust, testable programs for moving, transforming, and loading data using cloud-based Big Data tools such as Glue, Step-Functions, Snowflake, Kafka, and Sagemaker.
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, Scala, SQL, and Terraform
Three (3) years 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 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 Airflow, Prefect, AWS Step functions, or similar orchestration tool Experience with DevOps principals and CI/CD
Experience with Docker and Kubernetes
Experience with No-SQL databases such as DynamoDB, Cassandra, or MongoDB
Experience with streaming technologies such as Confluent Kafka, Flink, or Spark Streaming
Experience 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 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
Experience with Data Modeling techniques including dimensional and time series modeling such as Star Schemas or Data Vault
Experience mentoring junior associates on best practices (make helping/teaching an expectation)
Experience leading technical projects from end to end
This position must be within a reasonable driving distance to a Branch, Consumer Operations, or Professional Office Building with the primary location being for Birmingham, AL, Nashville, TN, Atlanta, GA or Charlotte, NC. Regions will not provide relocation assistance for this position, and relocation would be at your expense. Exceptions to the geographic location requirement may be made for current Regions associates who work remotely. 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:
$107,520.40 USD
Median:
$140,290.00 USD
Incentive Pay Plans:
Opportunity to participate in the Long Term Incentive Plan. 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 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 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 Details
Riverchase Operations Center Location:
Hoover, Alabama Bring Your Whole Self to Work We have a passion for creating an inclusive environment that promotes and values diversity of race, color, national origin, religion, age, sexual orientation, gender identity, disability, veteran status, genetic information, sex, pregnancy, and many other primary and secondary dimensions that make each of us unique as individuals and 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 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.
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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. Regions is dedicated to taking appropriate steps to safeguard and protect private and personally identifiable information you submit. The information that you submit will be collected and reviewed by associates, consultants, and vendors of Regions in order to evaluate your qualifications and experience for job opportunities and will not be used for marketing purposes, sold, or shared outside of Regions unless required by law. Such information will be stored in accordance with regulatory requirements and in conjunction with Regions' Retention Schedule for a minimum of three years. You may review, modify, or update your information by visiting and logging into the careers section of the system. 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 <ul> <li>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 </li><li>Builds data pipelines to collect and arrange data and manage data storage in Regions' big data environments </li><li>Builds robust, testable programs for moving, transforming, and loading data using cloud-based Big Data tools such as Glue, Step-Functions, Snowflake, Kafka, and Sagemaker. </li><li>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 </li><li>Ensures data is prepared, arranged and ready for each defined business use case </li><li>Designs and deploys frameworks and micro services to serve data assets to data consumers </li><li>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 </li><li>Provides consultation to all areas of the organization that plan to use data to make decisions </li><li>Supports any team members in the development of such information delivery and aid in the automation of data products </li><li>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 </li></ul>This position is exempt from timekeeping requirements under the Fair Labor Standards Act and is not eligible for overtime pay. Requirements <ul> <li>Bachelor's degree and six (6) years of experience in a quantitative/analytical/STEM field or technical related field </li><li>Or Master's degree and four (4) years of experience in a quantitative/analytical/STEM field or technical related field </li><li>Or Ph.D. and two (2) years of experience in a quantitative/analytical/STEM field </li> <li>Three (3) years of working programming experience in Python, Scala, SQL, and Terraform </li><li>Three (3) years of working experience in cloud-based Big Data Technology such as Elastic Map Reduce (EMR), AWS Glue, BigQuery, or Snowflake. </li></ul>Preferences <ul> <li>Background in Big Data Engineering and Advanced Data Analytics </li> <li>Experience developing solutions for the financial services industry </li><li>Experience in Agile Software Development </li><li>Experience or exposure to cloud technologies and migrations </li><li>Prior banking or financial services experience </li></ul>Skills and Competencies <ul> <li>Experience building data solutions at scale </li><li>Experience designing and building relational data structures in multiple environments </li><li>Experience with Airflow, Prefect, AWS Step functions, or similar orchestration tool Experience with DevOps principals and CI/CD </li><li>Experience with Docker and Kubernetes </li><li>Experience with No-SQL databases such as DynamoDB, Cassandra, or MongoDB </li><li>Experience with streaming technologies such as Confluent Kafka, Flink, or Spark Streaming </li><li>Experience working with cloud services at an enterprise scale, including data engineering with private networking and zero-trust computing. </li><li>Proven record of accomplishment of delivering operational Data solutions including Report and Model Ready Data Assets </li><li>Significant experience working with senior executives in the use of data, reporting and visualizations to support strategic and operational decision making </li><li>Strong ability to transform and integrate complex data from multiple sources into accessible, understandable, and usable data assets and frameworks </li><li>Strong background in synthesizing data and analytics in a large (fortune 500), complex, and highly regulated environment </li><li>Strong technical background including database and business intelligence skills </li><li>Strong communication skills through written and oral presentations </li><li>Experience with Data Modeling techniques including dimensional and time series modeling such as Star Schemas or Data Vault </li><li>Experience mentoring junior associates on best practices (make helping/teaching an expectation) </li><li>Experience leading technical projects from end to end </li></ul>This position must be within a reasonable driving distance to a Branch, Consumer Operations, or Professional Office Building with the primary location being for Birmingham, AL, Nashville, TN, Atlanta, GA or Charlotte, NC. Regions will not provide relocation assistance for this position, and relocation would be at your expense. Exceptions to the geographic location requirement may be made for current Regions associates who work remotely. 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: $107,520.40 USD Median: $140,290.00 USD Incentive Pay Plans: Opportunity to participate in the Long Term Incentive Plan. 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. <ul> <li>Paid Vacation/Sick Time </li><li>401K with Company Match </li><li>Medical, Dental and Vision Benefits </li><li>Disability Benefits </li><li>Health Savings Account </li><li>Flexible Spending Account </li><li>Life Insurance </li><li>Parental Leave </li><li>Employee Assistance Program </li><li>Associate Volunteer Program </li></ul> 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 Details Riverchase Operations Center Location: Hoover, Alabama Bring Your Whole Self to Work We have a passion for creating an inclusive environment that promotes and values diversity of race, color, national origin, religion, age, sexual orientation, gender identity, disability, veteran status, genetic information, sex, pregnancy, and many other primary and secondary dimensions that make each of us unique as individuals and 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 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.

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