Engineering Associate – Data Engineering & Analytics

Wells Fargo•Iselin, NJ

1d•$29 - $52•Hybrid

About The Position

Wells Fargo is seeking an Engineering Associate within the Chief Operating Office (COO) to support the Fraud AI Platform Data Engineering Team. COO Technology delivers technology solutions and manages application portfolios that support enterprise operations, resiliency, data services, and customer experience, driving modernization and optimization across the organization. In this role, you will support the development and delivery of data pipelines used for both data storage and feature engineering. You will work alongside Data Engineers, Data Scientists, Data Analysts, and Platform Engineers to build, test, and help deploy data pipelines into production environments. You will also contribute to data validation and verification processes while supporting ETL activities that ensure data is accurate, reliable, and ready for analytics and modeling. This position is ideal for early-career professionals interested in data engineering, analytics, and large-scale data platforms. You will gain hands-on experience working with enterprise data systems, supporting data pipelines, and collaborating with cross-functional teams to deliver scalable and reliable data solutions that power advanced analytics and decision-making. This position is part of the Career Opportunities in Development and Engineering (CODE) Program. The CODE program is a two-year engineering development experience designed for individuals who are early in their technical careers. The program is intended for candidates with approximately 6 months to 2 years of hands-on engineering experience. As a full-time employee in the CODE Program, you'll begin with immersive onboarding and continue with hands-on training, mentorship, and professional development. You'll be part of a collaborative cohort supported by a dedicated program management team, gaining exposure to real-world projects with structured professional development, mentorship, and exposure to a broad range of technologies across the enterprise. Upon successful completion of the program, participants are eligible for promotion and continued employment, subject to business needs and performance expectations. Note: Wells Fargo only considers candidates who are presently authorized to work for any employer in the United States and who do not require work visa sponsorship now or in the future in order to retain their authorization to work in the United States.

Requirements

6+ months of Technology Engineering and Solutions experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Nice To Haves

6+ months of hands-on experience working with data analysis and data engineering concepts, including building or supporting datasets, performing ETL processes, and working with structured data environments through internships, coursework, or real‑world projects
Experience using SQL and data tools (6+ months) to query, transform, and analyze data, along with exposure to data visualization or reporting tools such as Excel, Power BI, or Kibana to communicate insights
Practical experience (6+ months) using Python or a similar scripting language to support data processing, automation, or analytics workflows
Familiarity with data pipeline development and data warehouse concepts, including integrating data across systems, validating outputs, and supporting scalable data environments
Exposure to distributed data processing technologies, such as Spark, along with experience working in modern data environments or platforms
Exposure to cloud or platform technologies (e.g., OpenShift or major cloud providers) and streaming or messaging systems such as Kafka, demonstrated through labs, projects, or internship experience
Experience working in Agile or collaborative team environments, including partnering with cross-functional teams to support data initiatives, troubleshoot issues, and deliver solutions
Proficiency in Microsoft Office tools such as Excel and Word, managing email and calendars in Outlook, and building presentations in PowerPoint.
Experience communicating technical issues or access-related concerns across technical and non-technical teams.
Demonstrated ability to manage multiple tasks simultaneously and meet deadlines in academic or professional settings.
Bachelor’s in computer science or related field preferred but not required.

Responsibilities

Support infrastructure and cloud engineering initiatives by working with teams to Support the development and maintenance of data pipelines used for analytics, reporting, and feature engineering
Assist with building and testing data pipelines and preparing them for deployment into production environments
Support data transformation and integration activities, including basic ETL (extract, transform, load) processes
Contribute to building and validating model feature jobs used for advanced analytics and data science use cases
Assist in developing and maintaining data validation and data quality processes to ensure accuracy and reliability
Analyze data and system outputs to identify trends, issues, or opportunities for improvement
Support data modeling and data integration efforts, including maintaining data environments used for reporting and analytics
Collaborate with Data Engineers, Data Scientists, and other stakeholders to support data-related initiatives
Assist in troubleshooting data pipeline issues and support resolution efforts