Intern - Year Round (Data Engineering)

Our team is dedicated to Analytics/Reporting and Data Engineering development, design, architecture, and solutions based on requirements. We work and collaborate closely with various engineering teams in Enterprise Technology Service (ETS). Additionally, we collaborate with all Business Units across Navy Federal Credit Union (NFCU) to understand their data and reporting needs and develop tailored solutions to support their business objectives.

•    Assist in data analysis and validation, ensuring accuracy, consistency, and alignment with defined business metrics and KPIs
•    Assist with documentation of data pipelines, data sets and data definitions using enterprise standards
•    Support the development and maintenance of dashboards, reports, and scorecards using enterprise BI tools
•    Support with automation of data preparation tasks such as generating data dictionary and source to target mapping    
•    Provide support to the assigned department; may work on small projects or portions of larger projects
•    Assist and collaborate with various levels of staff to accomplish tasks/assignments
•    Perform research and analysis; may include quantitative and/or qualitative analysis
•    Assist in building and maintaining data ingestion and transformation pipelines for enterprise data ecosystem on cloud
•    Maintain professionalism in all interactions, placing member service as priority
•    Process and update data in automated systems; may generate and analyze reports
•    Perform other duties as assigned

***A requirement of this position is you must be currently enrolled in college level courses or a degree-seeking program throughout the duration of the internship. Please upload your transcripts by adding them to the “Intern Proof of Enrollment” section of the application.

Required Qualifications

•    Currently pursuing a degree from an accredited college or university, preferably Computer Science, Data Science, Data Analytics, IT Management or related fields
•    Experience with programming languages such as Python, SQL
•    Understanding of Data Engineering, Analytics and data architecture concepts
•    Knowledge of Data Engineering, APIs, and cloud development
•    Adaptability to new technologies
•    Strong research, analytical, and problem-solving abilities
•    Ability to work independently and collaboratively in a team environment

Desired Qualifications

•    Exposure to Power BI
•    Effective communication skills and a commitment to self-development
•    Strong organizational, planning, and time management skills

Hours: Monday - Friday, 8:00AM - 4:30PM (minimum of 20-25 hours a week, based on school schedule)

Location: 820 Follin Lane, Vienna, VA 22180