Data Engineer - AWS, Snowflake

Regions is hiring a Data Engineer to evaluate, design, and deliver operational and analytical data assets using AWS-friendly data engineering tooling and platforms.

Responsibilities

• Partner with Regions Technology teams to design, build, and maintain data-based structures and systems for Data and Analytics and Data Product use cases
• Build data pipelines to collect, organize, and store data within Regions’ big data environment
• Develop robust, testable programs for data movement, transformation, and loading using big data tools such as Spark
• Coordinate with Data Products Partners, Data Scientists, Data Management, Data Modelers, and other technical stakeholders to create strategic and tactical data stores
• Ensure each business use case receives data that is prepared, arranged, and ready
• Design and deploy frameworks and microservices that serve data assets to data consumers
• Align technical and non-technical stakeholders to convert customer needs into data design requirements and support high-quality visualizations and data stories while maintaining data quality and integrity
• Consult across the organization on how teams use data to make decisions
• Support automation of data products and assist team members with information delivery development
• Act as a trusted adviser to business leads: identify business needs and data opportunities, understand drivers of performance, interpret business case drivers, and help turn data into business value while supporting overall data and analytics strategy
• Ensure compliance with risk management programs, rules and regulations, and cybersecurity practices; identify process improvement opportunities and apply disciplined change management

Requirements

• Ph.D. plus 2 years of experience in a quantitative, analytical, or STEM field
• OR Master’s plus 4 years of experience in a quantitative, analytical, or STEM field, or a technical related field
• OR Bachelor’s plus 6 years of experience in a quantitative, analytical, or STEM field, or a technical related field
• 3 years of working programming experience in Python/PySpark, Scala, SQL
• 3 years of working experience in Big Data Technology in Hadoop, Hive, Impala, Spark, or Kafka

Technologies

• Python
• PySpark
• Scala
• SQL
• Hadoop
• Hive
• Impala
• Spark
• Kafka

Benefits

• 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
• Opportunity to participate in the Long Term Incentive Plan

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

• Interpret and ensure compliance with applicable rules, regulations, and industry guidance
• Build data solutions at scale
• Design and build relational data structures across multiple environments
• Knowledge of DevOps principles, CI/CD, and the Software Development Lifecycle
• Experience with No-SQL databases
• Experience with large-scale data Lakehouses at Enterprise scale
• Track record delivering operational Data solutions including Report and Model Ready Data Assets
• Significant experience working with senior executives using data, reporting, and visualizations for 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 synthesizing data and analytics in a large, complex, and highly regulated environment
• Strong technical foundation including database and business intelligence skills
• Strong communication skills through written and oral presentations

Position Details

• Exempt from timekeeping requirements under the Fair Labor Standards Act and not eligible for overtime pay
• Onsite role with regular work hours; full days in the office three or more days per week
• No relocation assistance for this position; relocation would be at your expense
• Locations available: Birmingham, AL; Atlanta, GA; or Charlotte, NC
• No work visa sponsorship for this position at this time; applicants must be authorized to work in the United States on a full-time basis
• Position Type: Full time

Compensation

• USD 115,002 - 146,401 per year
• Job range target minimum: $115,002.20 USD
• Job range target median: $146,401.50 USD
• Incentive pay plans: opportunity to participate in the Long Term Incentive Plan

Application Information

• Applications accepted electronically through the Regions career site for a minimum of five business days from the date of posting

Location: Atlanta, GA (onsite) and (per listing details) Charlotte, NC available for this role.