Engineering Associate – Data Engineering, Analytics

Wells Fargo

Engineering Associate supporting the Fraud AI Platform Data Engineering Team at Wells Fargo. Developing, testing, and deploying data pipelines for analytics and reporting, aligned with enterprise goals.

Posted 5/20/2026full-timeIselin • New Jersey, North Carolina • 🇺🇸 United StatesJuniorMid-Level💰 $29 - $52 per hourWebsite

Tech Stack

Tools & technologies

CloudETLKafkaOpenShiftPythonSparkSQL

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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
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.

Benefits

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data analysisdata engineeringETLSQLPythondata pipeline developmentdata warehouse conceptsdistributed data processingdata validationdata modeling

Soft Skills

collaborationtroubleshootingcommunicationtime managementproblem solving