ABOUT THE TEAM:

The Wealth Management Data Solutions (WMDS) organization provides direct technology support for core engineering products, operational data products and data analytics. It develops and drives engineering strategy, while enabling tech transformation by partnering closely with WIM product groups. Not only does the team develop the engineering blue- print and core components, but it serves as the liaison to the Enterprise Architecture Group. With 300+ staff members across the US and India, Data Solutions is on a mission to modernize its technology and build stronger, more agile scrum teams. We are seeking world-class talent, like you, to help deliver innovative solutions and to drive that transformation. If you’re passionate about tackling complex challenges and advancing technology, we invite you to join us in shaping the future of data-driven solutions.

APPLICANTS WITH DISABILITIES

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo .

WELLS FARGO RECRUITMENT AND HIRING REQUIREMENTS:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process

Required Qualifications:

• 4+ years of Data Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 4+ years of experience with Python
• 4+ years of experience with ETL frameworks
• 1+ years of experience with Spark, Hadoop, or other distributed data processing system

Desired Qualifications:

• 2+ years of experience with databases such as Mongo DB, MySQL or Oracle
• 2+ years of experience with Cloud Platforms such as AWS, Google Cloud or Azure
• Experience with data modeling and analysis
• Experience with APIs and Data Integration with Kafka and streaming data pipelines
• Experience with Git and CI/CD pipelines

Wells Fargo is seeking a Senior Data Engineer for our Wealth Management Data Solutions team with expertise in Python, ETL frameworks, and distributed data processing technologies like Spark and Hadoop. The ideal candidate will have a command of SQL and NoSQL databases, cloud platforms (AWS, GCP, or Azure), and data warehousing principles including modeling and indexing. This role involves building scalable data pipelines, integrating APIs and streaming systems (Kafka, RabbitMQ), and collaborating with cross-functional teams in an Agile environment. Bonus points for experience with ML pipelines, DevOps tools (Docker, Kubernetes), and graph databases like Neo4j.

In this role, you will:

• 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

Required Qualifications:

• 4+ years of Data Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 4+ years of experience with Python
• 4+ years of experience with ETL frameworks
• 1+ years of experience with Spark, Hadoop, or other distributed data processing systems

Desired Qualifications:

• 2+ years of experience with databases such as Mongo DB, MySQL or Oracle
• 2+ years of experience with Cloud Platforms such as AWS, Google Cloud or Azure
• Experience with data modeling and analysis
• Experience with APIs and Data Integration with Kafka and streaming data pipelines
• Experience with Git and CI/CD pipelines.

Job Expectations:

• Position offers a hybrid work schedule
• This position is not eligible for Visa sponsorship
• Relocation assistance is not available for this position

Locations:

• 300 S Brevard St., Charlotte, North Carolina 28202
• 2801 Market St., F & L Bldg. Saint Louis, Missouri 63103