Intern Databricks Developer Jobs in Washington (NOW HIRING)

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.

Navy Federal provides much more than a job. We provide a meaningful career experience, including a culture that is energized, engaged and committed; and fierce appreciation for our teams, who are rewarded with highly competitive pay and generous benefits and perks.

Our approach to careers is simple yet powerful: Make our mission your passion.

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Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to age, race, sex, color, religion, national origin, disability, veteran status, pregnancy, sexual orientation, genetic information, gender identity or any other basis protected by applicable law.

Accommodations: If you need accommodation or assistance for a qualifying condition to complete the online application (or during any stage of the hiring process), you can contact Navy Federal's Medical Accommodations team at medicalaccommodations@navyfederal.org or by calling 1-888-503-6013. This team cannot provide any information on job postings or application status.

Disclaimers: Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need. An assessment may be required to compete for this position. Job postings are subject to close early or extend out longer than the anticipated closing date at the hiring team's discretion based on qualified applicant volume. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. You are paid within the salary range, based on your experience, location and market position. For additional details regarding compensation and benefits, review the Benefits page of the Navy Federal Career Site.

Protect Yourself from Job Scams: Navy Federal Credit Union jobs are posted on our career site, jobs.navyfederal.org and reputable job boards (e.g., LinkedIn, Indeed). We do not post jobs on social media marketplaces, messaging apps or unverified websites. We will never ask candidates for payment, bank details or personal financial information during the hiring process.

Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.

• Currently pursuing a degree from an accredited college or university, preferably in Computer Science, Data Engineering or related field
• Hands-on experience in data processing (Databricks ETL, Azure Event Hub, Azure Functions, or similar)
• Hands-on experience with programming languages such as Python, SQL, or Java
• Ability to apply Data Quality dimensions and principles
• Ability to work independently and collaboratively in a team environment

Desired Qualifications

• Effective communication skills and a commitment to self-development
• Strong research, analytical, and problem-solving abilities
• 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)

Additional Information

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
  

• 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