Job Summary:
We are seeking a skilled Data Engineer to join our team. The ideal candidate will be responsible for designing and implementing scalable data pipelines for our organization. If you have a passion for data and enjoy working in a dynamic environment, we would love to hear from you.
Duties:
Job Description:
Developing new credit card processing engine for CC account ledger
Data engineers are required for pipeline modeling/development
Finance background desirable
Required tech stack: Python, AWS (dynamo DB), data bricks
Data modeling experience preferred
Must sit onsite in Chicago, IL hybrid (Mon & Fri remote/Tue-Thu onsite)
Contract only
1 hour zoom video interviews w/ Tvzi and another senior tech member
Call Notes:
Card Tech – CPAL- extracting between an old ledger and a new one they want to build out, the general overall team is CPAL, but will focus on building the new ledger, will not support the old one.
Building a new team of Data Engineers that will build a ledger system within Capital One. Looking for an experienced Engineer with experience using python / Data Bricks / Data Modeling – understanding they actual structure of the data in the domain, figure out how the various data structure should be written / named.
Building a Financial Ledger, similar to an accounting ledger taking in information about accounts (like a credit card account), building a storage of information and updating it over time.
Will move data from an older system, into this new system.
Would like to see Financial Services experience
More of an emphasis on Engineering, they have a handful of Data Modelers on the team. Will require Dat Modeling and knowledge on how to structure data, but the core will be ETL / Python / AWS.
Spark is not important
AWS: S3, Lambda, Data Lake / DynamoDB
Job Types: Full-time, Contract, Temporary
Pay: $55.00 - $65.00 per hour
Benefits:
- 401(k)
- Dental insurance
- Health insurance
Schedule:
Experience:
- Data modeling: 5 years (Required)
- Python: 5 years (Required)
- Data warehouse: 5 years (Required)
Ability to Commute:
Ability to Relocate:
- Chicago, IL: Relocate before starting work (Required)
Work Location: In person