Lead Specialty Software Engineer (Req. #001824)

Wells Fargo & Company - Institutional Retirement & Trust business

Summit, NJ

Full Time

Senior

153k-263k

29 days ago

Job Description

About the Role

At Wells Fargo, we want to satisfy our customers' financial needs and help them succeed financially. We're looking for talented people who will put our customers at the center of everything we do. Help us build a better Wells Fargo. It all begins with outstanding talent. It all begins with you. 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 Specialty Software Engineer in Summit, New Jersey.

Key Responsibilities

Participate in complex technology initiatives including those that are companywide with broad impact.
Act as a key participant in developing standards and companywide best practices for engineering complex and large-scale technology solutions for technology engineering disciplines.
Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives, enterprise technological environment, and technical challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented technical factors.
Work with Enterprise Pipeline team on CI/CD, SAST, DAST tool chain.
Collaborate with Cloud technology teams, including Google Cloud and Cloudera CDP, and support migration efforts.
Design high performing data models on big-data architecture as data services.
Partner with Enterprise data teams such as Data Management & Insights and Enterprise Data Environment (Data Lake) to identify migration paths for tenant development teams.
Work with business analysts, development teams, and project managers for requirements and business rules.
Support ongoing data management efforts for Development, QA, and Production environments.
Leverage industry trends and available technology to build best-in-class solutions.
Act as an expert technical resource to programming staff during development, testing, and implementation.

Requirements

Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or related technical field.
Five (5) years of experience in data engineering or related roles involving large-scale technology solutions.
Five (5) years of Big Data (Hadoop) engineering experience.
Five (5) years of Technical Leadership experience.
Five (5) years of Quantitative Solutions engineering experience.
Five (5) years of Data Management, Business Analysis, Analytics, or Project Management experience.
Two (2) years of Cloud Experience.
Experience in AI/ML modelling and algorithms with clustering, regression, and classification use cases.
Experience with end-to-end design and delivery of ETL processes using multiple SORs.
Experience with software development in Python, C#, C, and Java in an enterprise environment.

Nice to Have

Experience working in hybrid environments with legacy ETL and Data Warehouse applications alongside big-data applications.
Experience working with Infrastructure Engineers and System Administrators on big-data infrastructure design.

Qualifications

Bachelor's degree in a related technical field

Benefits & Perks

Health benefits
401(k) Plan
Paid time off
Disability benefits
Life insurance, critical illness insurance, and accident insurance
Parental leave
Critical caregiving leave
Discounts and savings
Commuter benefits
Tuition reimbursement
Scholarships for dependent children
Adoption reimbursement

Working at Wells Fargo & Company - Institutional Retirement & Trust business

Employees support a strong customer relationship focus balanced with a risk mitigating and compliance-driven culture. They are accountable for executing risk programs, following policies and procedures, and making sound risk decisions. There is an emphasis on proactive monitoring, governance, risk identification, escalation, and remediation, all aligned with the company's risk appetite and compliance requirements.

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