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. Required Qualifications: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. Desired Qualifications: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. Job Expectations:The selected candidate for this role must be able to begin employment by July 12, 2026, in a full-time capacity. This position is required to work from the designated posted office location and must be able to meet all expectations of the current hybrid work schedule, including regular in-office attendance as defined by the team and program requirements. Actively engage in the two-year CODE Program, including participation in training, mentorship, networking events, and career development activities. Relocation assistance is not provided for this role. This position is not eligible for Visa sponsorship. Benefits. Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees. Health benefits 401(k) Plan. Paid time off. Disability benefits. Life insurance, critical illness insurance, and accident insurance. Parental leave. Critical caregiving leave. Discounts and savings. Commuter benefits. Tuition reimbursement. Scholarships for dependent children. Adoption reimbursement. Pay Range Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.$28.85 - $52.40 Benefits Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees. Health benefits 401(k) Plan. Paid time off. Disability benefits. Life insurance, critical illness insurance, and accident insurance. Parental leave. Critical caregiving leave. Discounts and savings. Commuter benefits. Tuition reimbursement. Scholarships for dependent children. Adoption reimbursement. Posting End Date:25 May 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.