Data Engineer – AWS, Snowflake

Regions Bank

. Evaluate, design, and execute data structures, processes, and logic to deliver business value through operational and analytical data assets .

Posted 9/22/2026full-timeUnited StatesMid-LevelSenior💰 $115,002 - $146,402 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and managing data pipelines, utilizing Big Data technologies such as Spark and Hadoop, and ensuring data quality and compliance in a highly regulated environment. Proven ability to collaborate with technical and non-technical stakeholders to deliver actionable data insights and support strategic decision-making.

Highest-signal resume keywords

Python/PySpark ProgrammingBig Data Technology ExperienceData Engineering and AnalyticsAgile Software DevelopmentCloud Technologies Exposure

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentData Structures DesignSQL ProgrammingNo-SQL DatabasesData Lakehouse SolutionsData TransformationData Quality AssuranceData VisualizationDevOps PrinciplesCI/CD Practices

Soft Skills

Strong Communication SkillsCollaboration with StakeholdersConsultative Approach

Tools & Technologies

HadoopHiveImpalaSparkKafka

Industry Keywords

Financial ServicesQuantitative AnalysisRisk Management ComplianceData GovernanceBusiness Intelligence

Tech Stack

Tools & technologies

CloudCyber SecurityHadoopKafkaMicroservicesPySparkPythonScalaSparkSQL

About the role

Key responsibilities & impact

Evaluate, design, and execute data structures, processes, and logic to deliver business value through operational and analytical data assets
Partner with Regions Technology partners to 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 environment
Build robust, testable programs for moving, transforming, and loading data using big data tools such as Spark
Coordinate design and development with Data Products Partners, Data Scientists, Data Management, Data Modelers, and other technical partners to construct strategic and tactical data stores
Ensure data is prepared, arranged, and ready for each defined business use case
Design and deploy frameworks and microservices to serve data assets to data consumers
Collaborate with technical and non-technical stakeholders to translate customer needs into Data Design requirements and deliver visualizations and data stories while ensuring data quality and integrity
Provide consultation to organizational areas using data for decision-making
Support team members in developing information delivery and automating data products
Advise business leads on business needs, data opportunities, performance drivers, business case data drivers, data value, and data and analytics strategy
Ensure compliance with risk management programs, rules, regulations, and cybersecurity practices; support process improvements and disciplined change management
Work onsite or in the near future, including full days in the office three or more days a week, according to the manager’s schedule

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/PySpark, Scala, SQL
Three (3) years of working experience in Big Data Technology in Hadoop, Hive, Impala, Spark, or Kafka
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
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 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
Applicants must currently be authorized to work in the United States on a full-time basis
No relocation assistance; relocation would be at the applicant’s expense

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