Navy Federal Credit Union currently does not provide sponsorship for this role. Applicants must be authorized to work in the United States without the need for current or future sponsorship.

Seeking a qualified candidate to design, develop, and optimize data pipelines and systems for the collection, connection, and storage of data for various business areas within Lending. In this role, you will work closely with business partners and team members to implement data processing tasks, ensure data quality, and maintain system reliability while gaining a strong understanding of business needs and objectives.

This position is ideal for a developing professional with a foundational skill set who is ready to take on increasing scope and complexity while solving a range of mostly straightforward problems.

---

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.

• FORTUNE 100 Best Companies to Work For® 2025
• Yello and WayUp Top 100 Internship Programs
• Computerworld® Best Places to Work in IT
• Newsweek Most Loved Workplaces
• 2025 PEOPLE® Companies That Care
• Newsweek Most Trustworthy Companies in America
• Military Times 2025 Best for Vets Employers
• Best Companies for Latinos to Work for 2025
• Forbes® 2025 America’s Best Large Employers
• Forbes® 2025 America's Best Employers for New Grads
• Forbes® 2025 America's Best Employers for Tech Workers
• 2025 RippleMatch Campus Forward Award Winner for Overall Excellence
• Military.com Top Military Spouse Employers 2025
• 2025 Handshake Early Talent Award

From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of, Navy Federal Credit Union.

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.

---

Seeking a qualified candidate to design, develop, and optimize data pipelines and systems for the collection, connection, and storage of data for various business areas within Lending. In this role, you will work closely with business partners and team members to implement data processing tasks, ensure data quality, and maintain system reliability while gaining a strong understanding of business needs and objectives. This position is ideal for a developing professional with a foundational skill set who is ready to take on increasing scope and complexity while solving a range of mostly straightforward problems.

---

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field
• 5+ years of experience in data engineering or a related field
• Strong experience with SQL, xml/JSON, SSIS, Azure (Synapse, Data Factory, Databricks) and PySpark
• Strong Experience with data integration, data processing tools, and ETL frameworks
• Experience developing scripts, stored procedures, and automation jobs
• Experience with query optimization, execution plans, indexing, and partitioning
• Understanding of data warehousing concepts and data system design
• Working knowledge of data engineering principles, technologies, and architectures
• Working knowledge of Azure DevOps (ADO) backlogs and Agile delivery (SAFe, Scrum, Kanban)
• Working knowledge of SQL Server administration and database upgrades/migrations
• Basic knowledge of Power BI reporting and data visualization
• Strong problem-solving, communication, and collaboration skills

Additional Information

Hours:

• Monday - Friday, 8:00AM - 4:30PM

Locations:

• 820 Follin Lane, Vienna, VA 22180
• 5550 Heritage Oaks Drive, Pensacola, FL 32526

---

• Develop and maintain data pipelines and workflows to support business and data initiatives
• Design and build scalable data pipelines for data collection, integration, and storage
• Develop scripts, stored procedures, and jobs to automate data loads and processes
• Implement data processing tasks and ensure data integrity and reliability
• Optimize existing data workflows for performance and efficiency
• Ensure data quality and performance at scale across data platforms
• Maintain high availability, scalability, and reliability of data systems
• Apply query optimization techniques including execution plan analysis, indexing, and partitioning
• Collaborate with team members and business units on projects and data initiatives
• Contribute to the development and enforcement of data engineering standards, policies, and best practices
• Support data governance, metadata management, and data quality initiatives
• Assist with database administration activities, including upgrades and migrations
• Support reporting and analytics use cases, including Power BI development
• Participate in Agile ceremonies and contribute to backlog refinement and delivery planning
• Continuously improve processes and identify opportunities for automation and optimization