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Lead Software Engineer – Fraud Cloud BDP Lead; Charlotte, NC

Job in Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listing for: U.S. Bank
Full Time position
Listed on 2026-03-04
Job specializations:
  • Software Development
    Data Engineer
Salary/Wage Range or Industry Benchmark: 132679 USD Yearly USD 132679.00 YEAR
Job Description & How to Apply Below
Lead Software Engineer – Fraud Cloud BDP Lead (Multiple openings) in Charlotte, NC page is loaded## Lead Software Engineer – Fraud Cloud BDP Lead (Multiple openings) in Charlotte, NC locations:
Charlotte, NCposted on:
Posted Todaytime left to apply:
End Date:
March 7, 2026 (4 days left to apply) job requisition :
At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed.  We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career.

Try new things, learn new skills and discover what you excel at—all from Day One.##
** Job Description
** U.S. Bank is seeking a full-time Lead Software Engineer – Fraud Cloud BDP Lead (Multiple openings) in Charlotte, NC.
*
* Essential Responsibilities:

** The Fraud Cloud BDP Lead represents the FEA solution and Fraud related batch data processing/streaming needs for our Fraud & AML Investigations teams. The FC BDP leads interfaces with Cloud and Enterprise architects, the development team, and the Fraud Investigations business line to design, implement or enhance in-house or vendor solutions to meet the business need. This is an individual contributor subject matter expert role, requiring knowledge of the FEA solution, the ELZ and AC360 solutions as well as the in-house cloud strategy and FC BDP roadmap.

Specific duties will include the following:
* Provide engineering recommendations to meet data security and data governance guidelines.
* Designing, developing, testing, and implementing Fraud Enterprise Aggregation (FEA) features.
* Building robust modeling and highly available applications, and providing support to applications in the cloud with big data and ETL technologies.
* Enhance and modernize the FEA solution to deliver on solution requirements and adhere to coding best practices.
* Maintain and update the business rule logic, data processing efficiencies and integration with the data warehouse to meet the Fraud Investigation and EFCC unit needs.
* Conduct technical and business KT sessions for business and technical teams.
* Serve as point of contact for communications, monitoring and resolution of production support issues for the FEA solution.
* Point of contact and lead on requirements and sizing for the FEA solution related to migration from Data Warehousing solution to Oracle data store.
*
* Basic Qualifications:

** This position requires a Bachelor’s degree or equivalent in Computer Science, Computer Engineering, or Electrical and Electronic Engineering and 6 years (progressive, postbaccalaureate) software development and cloud transformation experience.
** Required Skills/

Experience:

** Must also have 12 months of experience with each of the following:
1) Providing engineering recommendations to meet data security and data governance guidelines.
2) Building robust modeling and highly available applications, and providing support to applications in the cloud with big data and ETL technologies including Cloud Technologies (Big Data Hadoop, Spark, Hive);
Version Controlling Tools (Subversion, Git Hub), Build/CI Tools (Jenkins, Git Hub);
Bug Tracking Tools (JIRA, Service Now, Remedy);
Scheduling (Autosys);
Scripting Languages (Unix Shell, Python, Power Shell, Bash, Spark Shell), Database (Oracle, SQL Server);
Domain Experience (Banking/Financial Services).
3) Maintaining and updating the business rule logic, data processing efficiencies and integration with the data warehouse to meet the Fraud Investigation and EFCC unit needs.
4) Leading the creation of requirements and sizing for the FEA solution related to migration from Data Warehousing solution to Oracle data store. Employer will accept experience gained concurrently. May be subject to background checks and other regulatory requirements relevant to our industry and operations.

Base pay range may vary if an offer is made for work in a different location. Pay Range: $132,679 - $ .…
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