Cloud Data Engineer

Overview

Remote
On Site
Full Time

Skills

Expect
Design optimization
IaaS
Software deployment
Machine Learning (ML)
Artificial intelligence
Management
Data storage
Data loading
Amazon SageMaker
Data management
Use cases
Design
Data quality
Business cases
Strategy
Analytical skill
Software development
Python
Scala
Terraform
Amazon EMR
Electronic Health Record (EHR)
Snow flake schema
Big data
Data Analysis
Agile
Migration
Banking
Financial services
Data structure
Amazon Web Services
Step-Functions
Orchestration
DevOps
Continuous integration
Continuous delivery
Docker
Kubernetes
SQL
Amazon DynamoDB
Apache Cassandra
MongoDB
Apache Kafka
Apache Flink
Apache Spark
Streaming
Cloud computing
Data engineering
Computer networking
Reporting
Decision-making
Analytics
Database
Business intelligence
Communication
Presentations
Data modeling
Time series
Modeling
Data
Mentorship
Teaching
Leadership
Operations
IMPACT
Dimensional modeling
OFCCP

Job Details

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.

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.

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
50th Percentile:
$140,290.00 USD
Incentive Pay Plans:
Opportunity to participate in the Long Term Incentive Plan.

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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.