Senior Software Engineer

About this role:

Wells Fargo is seeking Senior Software Engineer – Credit Risk Technology (Data & GenAI)

In this role, you will:

• Lead moderately complex initiatives and deliverables within technical domain environments
• Contribute to large scale planning of strategies
• Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments
• Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures
• Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements
• Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals
• Lead projects and act as an escalation point, provide guidance and direction to less experienced staff.

Required Qualification :

• 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

• Design, develop, and maintain large‑scale data engineering solutions for credit risk data using modern big‑data and distributed computing frameworks
• Lead data platform modernization initiatives, including performance optimization, scalability, reliability, and security
• Build and optimize ETL/ELT pipelines for structured and semi‑structured data using Spark, Hadoop, and cloud‑based technologies
• Develop robust data models, analytics layers, and reporting datasets to support credit risk analysis and regulatory reporting
• Apply Generative AI and AI/ML techniques (e.g., LLMs, embeddings, intelligent data enrichment, automated insights, anomaly detection) to enhance risk analytics, data quality, and operational efficiency
• Collaborate closely with Credit Risk, Analytics, and Business stakeholders to translate business requirements into technical architectures and solutions
• Review code, enforce best practices, and provide technical guidance and mentorship to junior team members
• Contribute to architectural decisions, technology selection, and long‑term platform roadmaps
• Ensure solutions meet enterprise standards for governance, security, auditability, and regulatory compliance.
• Experience with batch processing and scheduling tools such as Autosys
• Hands‑on experience with Dremio or similar data virtualization/query acceleration platforms
• Experience building data solutions on cloud platforms (AWS, Azure, or GCP), including cloud storage, compute, and orchestration services
• Exposure to ML/AI platforms, MLOps concepts, or AI governance frameworks in regulated environments
• Experience working in financial services, risk, or regulated data domains

Job Expectations:

• 4+ years of professional Software Engineering experience, or equivalent demonstrated through work experience, training, military experience, or education
• 4+ years of hands‑on experience building ETL/ELT pipelines on big‑data platforms such as Apache Spark, Hadoop, and Hive
• 4+ years of data engineering experience using PySpark/Python, Hadoop ecosystem tools, Hive, and/or Scala
• Strong experience (4+ years) with RDBMS and SQL‑based data modeling
• 3+ years of experience with UNIX/Linux environments and Shell scripting
• 2+ years of experience leading technical initiatives, mentoring engineers, and providing solution‑level guidance
• Solid understanding of data engineering best practices, including performance tuning, data quality, testing, and observability
• Experience or strong interest in Generative AI / AI‑driven data solutions, including working with LLMs, AI pipelines, or intelligent analytics use cases.

Posting End Date: 

15 Jul 2026

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

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