Data Engineer
United States
Full Time
1 week ago
$109,525 - $139,430 USD
H1B Sponsor
Key skills
CloudHadoopKafkaPySparkPythonScalaSparkSQLData EngineeringAnalyticsAgile
About this role
Role Overview
- 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
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/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
Tech Stack
- Cloud
- Hadoop
- Kafka
- PySpark
- Python
- Scala
- Spark
- SQL
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