Intern - Year Round (Data Quality Engineering)

Overview

Join Navy Federal as an intern to gain valuable insights into our business, technology, resources, and procedures. This year-round internship offers flexible hours (Full-Time or Part-Time) based on your school schedule. You will support evolving Data Quality capabilities and improving the quality of NFCU data assets in Azure Cloud; this includes Enterprise Data Lake, Data Warehouse, and Data Hubs. This role will also interact with multiple teams in accomplishment of their assignments and provide professional execution of day-to-day tasks and special projects while working within established standards, policies, and procedures.

*** 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.

Responsibilities

• Improve bespoke framework (Databricks) that controls and monitors Data Quality in Azure Cloud
• Support enabling Data Quality check and alert for batch data service and data streaming services
• Collaborate with the team to evolve standards and best practices for Data Quality engineering
• Support enabling Data Quality metrics that provides a summary drill down view of Data Quality scores for the business and leadership
• Perform other duties as assigned

Qualifications

Required Qualifications

* Currently pursuing a degree from an accredited college or university , preferably in Computer Science, Data Engineering or related field
* Ability to apply Data Quality dimensions and principles
* Ability to work independently and collaboratively in a team environment
* Strong research, analytical, and problem-solving abilities

Desired Qualifications

* Effective communication skills and a commitment to self-development
* Hands-on experience in data processing (Databricks ETL, Azure Event Hub, Azure Functions, or similar)
* Hands-on experience in Big Data environment in cloud for Enterprise Data Lake (Azure or similar), Data Warehouse (Azure Synapse or similar), and Data Hubs (Azure Cosmos DB or similar)
* Hands-on experience with programming languages such as Python, SQL, or Java

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