Lead Data Engineer (#001992 Multiple Positions Available)

Wells Fargo & Company • Raleigh, NC

13d • Hybrid

About The Position

Wells Fargo Technology sets IT strategy; enhances the design, development, and operations of our systems; optimizes the Wells Fargo infrastructure footprint; provides information security; and enables continuous banking access through in-store, online, ATM, and other channels to Wells Fargo’s more than 70 million global customers. Wells Fargo Bank N.A. seeks a Lead Data Engineer in Raleigh, NC. This role involves leading complex initiatives with broad impact and acting as a key participant in large-scale software planning for the Technology area. The Lead Data Engineer will design, develop, and run tooling to discover problems in data and applications and report these issues to engineering and product leadership. They will 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. Decisions will be made in complex and multi-faceted data engineering situations requiring an understanding of software package options, programming languages, and compliance requirements that influence and lead Technology to meet deliverables and drive organizational change. The role also includes strategically collaborating and consulting with internal partners to resolve highly risky data engineering challenges. Telecommuting is permitted, but the employee must report in person to the listed work location weekly. Multiple positions are available.

Requirements

• Bachelor's degree in Computer Science, Electrical and Computer Engineering, Electronic Engineering, Information Systems, Information Technology, or related technical field.
• 5 years of experience in the job offered or in a related position involving database engineering experience.
• 5 years of experience with at least 7 of the following skills: SDLC; Experience with one of the following databases: Oracle, MS SQL, Teradata, Mongo DB, or DB2; Experience with Agile methodologies; Application Programming Interface (API) or User Interface (UI) design and development; Experience in application or software security including web application penetration testing, secure code review, or secure static code analysis; Data modeling, database design, and data lake architecture including T-SQL queries; Experience in executing IT projects; Experience in JIRA; Splunk; Experience with Application Control Logging tools; Experience with Maven, Oracle, or SVN; Experience in application performance, monitoring and optimization tools Jmeter or Splunk; Experience with ETL (Extract, Transform, Load) tools; Experience with Microservices; Experience with Apache Tomcat; Experience in data analysis, data extraction/manipulation and loading routines using SQL, Teradata, database structures or data warehouses; Experience with Tableau; Experience with OBIEE; Experience with MicroStrategy Desktop; Experience with MicroStrategy Intelligence Server; Experience with MicroStrategy Web Server; Experience with Ab Initio; Experience in ETL (Extract, Transform, Load) Programming experience; Data warehouse experience; Experience with Unix; Retail banking application development experience.

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior