Intern - Year Round (Data Engineering) at Navy Federal… · Vienna

Summary: Navy Federal Credit Union is a leading financial institution dedicated to providing meaningful career experiences. The Data Engineering intern will assist in data analysis, documentation, and support the development of dashboards and reports while collaborating with various teams to meet business objectives. Responsibilities: -     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 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 Preferred Qualifications: - Exposure to Power BI - Effective communication skills and a commitment to self-development - Strong organizational, planning, and time management skills Required Skills: Python, SQL, Data Engineering, Data Analytics, Data Architecture, APIs, Cloud Development, Research, Analytical, work collaboratively