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.
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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
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 five (5) years of experience in a quantitative/analytical/STEM field or technical related field
Or Master's degree and three (3) years of experience in a quantitative/analytical/STEM field or technical related field
Or Ph.D. and one (1) year of experience in a quantitative/analytical/STEM 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
Prior banking or financial Services experience
Experience developing solutions for the financial services industry
Background in Big Data Engineering and Advanced Data Analytics
Experience in Agile Software Development
Experience or exposure to cloud technologies and migrations
Skills and Competencies
Experience building data solutions at scale
Experience designing and building relational data structures in multiple environments
Experience with Airflow, Argo, Luigi, or similar orchestration tool
Experience with DevOps principals and CI/CD.
Experience with Docker and Kubernetes
Experience with No-SQL databases such as HBase, Cassandra, or MongoDB
Experience with streaming technologies such as Kafka, Flink, or Spark Streaming
Experience working with Hadoop ecosystem building Data Assets at an 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
#LI-Remote
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 national range and level of the position.
Job Range Target:
Minimum:
$85,374.00 USD
Median:
$122,800.00 USD
Incentive Pay Plans:
This job is not incentive eligible.
Benefits Information
Regions offers a benefits package that is flexible, comprehensive and recognizes that "one size does not fit all" for 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. To learn more about Regions' benefits, please click or copy the link below to your browser.
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.
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.
