Cloud Data Engineer – AI Platform

Regions Bank

. Design, build, and maintain data-based structures and systems supporting Data and Analytics and Data Product use cases .

Posted 10/14/2026full-timeUnited StatesMid-LevelSenior💰 $114,996 - $146,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining data pipelines and cloud-based data solutions, with a strong focus on compliance, data modeling, and integration of AI technologies. Proven ability to lead technical projects and mentor junior associates while ensuring optimal data delivery and adherence to industry regulations.

Highest-signal resume keywords

Python ProgrammingCloud-Based Big Data TechnologyData Modeling TechniquesDevOps PrinciplesTechnical Project Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLScalaTerraformData EngineeringData Pipeline DevelopmentMachine Learning SupportInfrastructure as Code (IaC)No-SQL DatabasesData Solutions at ScaleData Transformation

Soft Skills

Strong Communication SkillsMentoringProcess ImprovementChange Management

Tools & Technologies

AWS GlueSnowflakeElastic Map Reduce (EMR)BigQueryKafkaSagemakerCI/CD ToolsCloud Orchestration Tools

Industry Keywords

Quantitative FieldAnalytical FieldRisk ManagementCybersecurity PracticesRegulatory ComplianceData ArchitectureBusiness Intelligence

Tech Stack

Tools & technologies

AWSBigQueryCloudCyber SecurityKafkaPythonScalaSQLTerraformVault

About the role

Key responsibilities & impact

Design, build, and maintain data-based structures and systems supporting Data and Analytics and Data Product use cases
Build data pipelines to collect and arrange data and manage data storage in Regions’ big data environments
Build robust, testable programs for moving, transforming, and loading data using cloud-based Big Data tools such as Glue, Step-Functions, Snowflake, Kafka, and Sagemaker
Build applications integrating with AI, including knowledge base management and document processing
Ensure data is prepared, arranged, and ready for each defined business use case
Develop reusable Infrastructure as Code (IaC) to build data pipelines and create new cloud infrastructure
Support feature engineering and deployment of machine learning and AI models
Support software developers, database architects, data analysts, and data scientists on data initiatives
Ensure optimal data delivery architecture is consistent throughout ongoing projects
Ensure compliance with risk management programs, rules and regulations, and cybersecurity practices
Identify and support process improvements
Apply disciplined change management practices
Continuously grow knowledge and skills related to daily tasks

Requirements

What you’ll need

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, 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
Ability to interpret and ensure compliance with applicable rules, regulations, and industry guidance
Experience building data solutions at scale
Experience with cloud technologies and migrations
Experience designing and building relational data structures in multiple environments
Experience with cloud-based orchestration tools
Experience with data modeling techniques including dimensional and time series modeling such as Star Schemas or Data Vault
Experience with DevOps principles, CI/CD, and Software Development Lifecycle
Experience with No-SQL databases
Experience leading technical projects from end to end
Experience mentoring junior associates on best practices
Experience working with cloud services at an enterprise scale, including data engineering with private networking and zero-trust computing
Proven record 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, complex, and highly regulated environment
Strong communication skills through written and oral presentations
Strong technical background including database and business intelligence skills
Currently authorized to work full-time in the United States; Regions will not sponsor work visas

Benefits

Comp & perks

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