Software Engineer 4 - Contingent (contract) at Wells Fargo
Charlotte, North Carolina, USA -
Full Time


Start Date

Immediate

Expiry Date

12 Nov, 25

Salary

0.0

Posted On

13 Aug, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

Title:
Location: Charlotte, NC
Duration: 24 months
Work Engagement: W-2
Benefits on offer for this contract position: Health Insurance, Life insurance, 401K and Voluntary Benefits

SUMMARY:

In this contingent resource assignment, you may: Consult on complex initiatives with broad impact and large-scale planning for Software Engineering. Review and analyze complex multi-faceted, larger scale or longer-term Software Engineering challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors. Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables. Strategically collaborate and consult with client personnel.

QUALIFICATIONS:

  • Applicants must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship.
  • 5+ years of Software Engineering experience
  • PySpark experience
  • ETL development experience
  • Experience with Data/Warehousing/Business Intelligence projects
Responsibilities

Engineer with strong expertise in PySpark, ETL development, and Data Warehousing/Business Intelligence (DW/BI) projects. Resource will be responsible for end-to-end development covering Financial Attribution, SCD, Booking and Referring Agreements, Data Aggregations, and SOR Onboarding
Resource will design, develop, and optimize ETL pipelines using PYSPARK, S3 and Dremio
Work on ProfitView Modernization
Work with large-scale structured and unstructured data from various sources.
Implement data ingestion, transformation, and loading processes into data lakes and data warehouses.
Collaborate with BI developers, data analysts, and business stakeholders to understand data requirements.
Ensure data quality, integrity, and governance across all data pipelines.
Monitor and troubleshoot performance issues.
Participate in code reviews, testing, and deployment processes.
Document technical solutions, data flows, and architecture

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