Senior Software Engineer - Data Engineering/generative Ai
Wells Fargo
Not specified (assumed to be hybrid based on industry norms).
Data warehousing (dwh) concepts
Large data transformation projects
High-volume batch processing solutions
Wells Fargo is seeking a Senior Software Engineer specializing in Data Engineering and Generative AI to lead complex initiatives, design and optimize high-volume data processing solutions, and mentor less experienced staff. The ideal candidate should have extensive experience in software engineering, data warehousing, big data pipelines, and relevant programming languages
Job Summary
Wells Fargo is seeking a Senior Software Engineer to lead initiatives in data engineering and generative AI, delivering complex technical solutions and guiding less experienced staff.
The role involves collaboration with peers and managers to resolve technical challenges and contribute to large scale planning and strategy development.
Employees are accountable for risk and compliance obligations, supporting a culture focused on strong customer relationships balanced with risk mitigation.
Matching Summary
Match Score: 85
Wells Fargo is seeking a Senior Software Engineer specializing in Data Engineering and Generative AI to lead complex initiatives, design and optimize high-volume data processing solutions, and mentor less experienced staff. The ideal candidate should have extensive experience in software engineering, data warehousing, big data pipelines, and relevant programming languages.
Skills & Requirements
Must-have
Data Warehousing (DWH) concepts
Large data transformation projects
High-volume batch processing solutions
Unix Shell scripting
Big data pipelines
Apache Spark, Java, Hive, Hadoop, GCP
Python, Java, SQL programming
Nice-to-have
Using LLMs for automation
Autosys or similar job scheduling tools
CI/CD pipelines and vulnerability remediation
Agile mode of working
Rest APIs, Dremio, Object store
Open table formats like Iceberg and Delta
Data governance, security, and compliance
GenAI use cases
Cloud data platforms AWS, Azure, GCP
Financial services domain exposure
Key Requirements
4+ years Software Engineering experience
4+ years experience with RDBMS
4+ years building big data pipelines
3+ years working with Apache Spark, Java, Hive, Hadoop, GCP