This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
Wells Fargo is seeking an experienced Senior Data Engineer to design, build, and optimize scalable data platforms on Google Cloud Platform (GCP). The ideal candidate will have strong hands‑on expertise in modern data engineering tools, distributed processing (Spark/PySpark), orchestration, and growing exposure to GenAI-driven data solutions. This role requires excellent problem‑solving capabilities and strong communication skills to work with cross‑functional teams.
Job Responsibility:
Lead moderately complex initiatives within Technology and contribute to large scale data processing framework initiatives related to enterprise strategy deliverables
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
Requirements:
4+ years of Data Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Nice to have:
Google Cloud Professional Data Engineer or equivalent GCP certification
Hands‑on experience with GenAI/LLM use cases such as Data intelligence and automation