Data Engineer - AWS, Snowflake

Regions Bank; Charlotte (NC); On-site; USD 115,000 - 160,000; Full time

Benefits offered by this job

Paid Vacation/Sick Time

401K with Company Match

Medical, Dental and Vision Benefits

Parental Leave

Employee Assistance Program

Volunteer Program

Job summary

Regions Bank is seeking a Data Engineer in Charlotte, NC to design and deliver data assets that drive business value. You will build data pipelines, implement scalable data architectures, and collaborate with data scientists and product teams to enable insight-led decisions.

Ideal candidates have strong experience with Python/PySpark, SQL, and big data technologies such as Hadoop and Spark, with a background in data modeling, governance, and enterprise data stores.

Qualifications

• PhD or Master's/ Bachelor's in quantitative/analytical/STEM field with relevant experience.
• 3 years of programming in Python/PySpark, Scala, SQL.
• 3 years working with Big Data technologies (Hadoop, Hive, Impala, Spark, Kafka).

Responsibilities

• Partners with Regions Technology to design, build, and maintain data structures and systems for Data and Analytics use cases.
• Builds data pipelines to collect, arrange and store data in Regions’ big data environment.
• Develops data movement, transformation and loading programs using Spark and other tools.
• Coordinates with Data Product Partners, Data Scientists, and Data Management to construct enterprise data stores.
• Ensures data is prepared and ready for defined business use cases with quality and integrity.
• Designs and deploys frameworks and microservices to serve data assets to consumers.
• Collaborates with stakeholders to translate needs into data design requirements and visualizations.
• Provides consultation to areas planning to use data to drive decisions.
• Supports automation of data products and acts as a trusted adviser to business leads.

Skills

Python/PySpark

SQL

Big Data

Data Modeling

CI/CD

Education

Ph.D. in STEM

Master's in STEM

Bachelor's in STEM

Tools

Hadoop

Spark

Hive

Kafka

Python

Job description

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 Data Engineer focuses on the evaluation, design, and execution of data structures, processes, and logic to deliver business value through operational and analytical data assets. The Data Engineer uses advanced data design and technical skills to work with business subject matter experts to create enterprise data assets utilizing state of the art data techniques and tools.

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 environment
• Builds robust, testable programs for moving, transforming, and loading data using big data tools such as Spark
• 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
• Ensures compliance with risk management programs, rules and regulations, and cybersecurity practices; identifies opportunities for and supports process improvements; applies disciplined change management practices

This position is exempt from timekeeping requirements under the Fair Labor Standards Act and is not eligible for overtime pay.

Requirements

• 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

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

• 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

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.

Birmingham, AL, Atlanta, GA or Charlotte, NC.

Regions will not sponsor applicants for work visas for this position at this time. Applicants for this position must currently be authorized to work in the United States on a full-time basis.

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.

Minimum

Job Range Target

$115,002.20 USD

Median

$146,401.50 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.

https://www.regions.com/about-regions/welcome-portal/benefits

Location Details

Charlotte Uptown

Location:

Charlotte, North Carolina

Equal Opportunity Employer/including 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.