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In this role, you will:
Lead complex initiatives with broad impact and act as key participant in large scale software planning for the Technology area
Design, develop, and run tooling to discover problems in data and applications and report the issues to engineering and product leadership
Review and analyze complex software enhancement initiatives for business, operational or technical improvements that require in depth evaluation of multiple factors including intangibles or unprecedented factors
Make decisions in complex and multi-faceted data engineering situations requiring understanding of software package options and programming language and compliance requirements that influence and lead Technology to meet deliverables and drive organizational change
Strategically collaborate and consult with internal partners to resolve highly risky data engineering challenges
Build and maintain optimized and highly available data pipelines that facilitate deeper analysis and reporting
Review and analyze moderately complex business, operational or technical challenges that require an in-depth evaluation of variable factors
Oversee the data integration work, including developing a data model, maintaining a data warehouse and analytics environment, and writing scripts for data integration and analysis
Resolve moderately complex issues and lead teams to meet data engineering deliverables while leveraging solid understanding of data information policies, procedures and compliance requirements
Collaborate and consult with colleagues and managers to resolve data engineering issues and achieve strategic goals
Required Qualifications:
5+ years of Database Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
5+ years of experience implementing, managing, or utilizing data environments (SQL Server, Oracle, Hadoop, etc.)
3+ years of experience Python development
4+ years of experience implementing Kafka based solutions
5+ years of experience with ETL tools like CDC, Informatica, and building ETL pipelines
2+ years’ experience in designing and building Data Quality frameworks
Desired Qualifications:
4+ years of experience using standard BI tools (Tableau, Power BI etc.)
Experience with CI/CD tools like Udeploy, Liquibase, Harness
Experience using Debezium connectors
Experience using tools like Qualytics or Talend
Job Expectations:
Ability to work additional hours as needed
Position offers a hybrid work schedule
This position is not eligible for Visa sponsorship
Relocation assistance is not available for this position
Locations:
300 S Brevard St., Charlotte, North Carolina 28202
2801 Market St., F & L Bldg., Saint Louis, Missouri 63103
550 S 4th St. Minneapolis, MN 55415
Pay Range
Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit for an overview of the following benefit plans and programs offered to employees.
Wells Fargo Recruitment and Hiring Requirements:
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.
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