DescriptionTeam Overview: The Data Engineering team, which is a part of Fraud Systems and Technology, is primarily focused on managing cloud data pipelines and governance. One of the team's key initiatives for FY 2024 involves decommissioning on-prem servers, including ATOM. The DE team collaborates with various enterprise functions and business units within NFCU to ensure that the data infrastructure effectively enables near-real-time fraud detection and prevention. Key stakeholders include Fraud Data & Reporting, Fraud Detection, Data Science & Machine Learning, Fraud Operations within Security, Enterprise Data and Information Management (EDIM), Enterprise Data Governance (EDG), and Enterprise Data and Analysis Services (EDAS – formerly MD).
Potential Projects:
• Cloud data ingestion requests for Fraud teams
• Real time data architecture analysis
• Cloud data quality concerns, as well as data quality analysis requests
• Databricks and SQL code performance reviews
• DTA process owner and consultant, for new and recertifications
The Summer Associate Program is a 12-week internship program beginning in May 2025 and ending in August 2025. Students will work on impactful projects and meaningful work during their internship. To qualify for this position, applicants must be currently pursuing a degree from an accredited college or university and have an anticipated graduation date of December 2025 or later.
Responsibilities
- Contribute to the development of technical requirements including data definitions, business rules, and data quality requirements; conduct data UAT, and data accuracy, validation, integrity research
- Ensure compliance with deliverable reporting requirements by performing quality data audits and analysis
- Identify and compile data sets using a variety of tools to help predict, improve, and measure the success of key business-to-business outcomes
- Clean and organize raw data and generate descriptive statistics in support of business intelligence and data science projects
- Support and participate in team projects and initiatives
- Research data quality concerns and contribute to data documents or project plans
Qualifications
- Currently pursuing a master’s degree in Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields.
- Bachelor's Degree in Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields.
- 1-2 years of experience in data analysis and reporting
- Familiarity with data cleaning and preprocessing techniques and tools
- Knowledge of data cleaning and other analytical techniques required for data usage
- Skill interpreting, extrapolating and interpolating data for statistical research and modeling
- Knowledge of various data structures and ability to extract data sources (e.g., PySpark, PowerBI)