Senior Data Engineer

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. Design, develop, and optimize data pipelines and systems for the collection, connection, and storage of data. Manage, interpret, and derive insights from data. Implement data processing tasks, ensuring data quality and system reliability. Work under minimal supervision and use complete understanding of business needs and objectives to support projects that have impact on the achievement of operational goals. Advanced skill set and proficiency with procedures and techniques. Responsibilities Design, develop and maintain data pipelines and workflows Collaborate with stakeholders to ensure data solutions align with business needs and goals Design and build robust data pipelines for data collection, connection, and storage Develop and enforce data engineering policies and best practices to ensure data integrity Ensure data quality and performance at scale Ensure high performance and scalability of data systems Help with the collection, connection, and storage of data Lead efforts to optimize existing data workflows and ensure system reliability Build working relationships with team members and subject matter experts Lead small projects and initiatives, taking a leadership role in planning and execution Mentor and guide junior data engineering team members Qualifications Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field 5-7 years of experience in data engineering Complete knowledge and understanding of business area/specialization Advanced knowledge of programming languages (Python, Java, SQL) Experience with data management and processing tools Experience with data integration and processing tools Experience with cloud services (AWS, Azure, GCP) Advanced problem-solving skills Advanced communication, collaboration skills and the ability to manage multiple priorities effectively Advanced skill in data system design and solid understanding of data warehousing, ETL processes, and big data technologies (SQL Server, SSIS, Azure Databricks, Azure Data Factory) used to develop and support data integration, analytics, and cloud-based data platform solutions. Advanced knowledge of data engineering principles, technologies, and architecture Additional Information Hours Monday - Friday, 8:00AM - 4:30 PM Locations 820 Follin Lane, Vienna, VA 22180 About Us 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 2026* Yello and WayUp Top 100 Internship Programs 2025* Computerworld Best Places to Work in IT 2026* Most Loved Workplace - America's Top Most Loved Workplaces 2025* 2025 PEOPLE Companies That Care* Newsweek Most Trustworthy Companies in America 2026* Military Times 2025 Best for Vets Employers* Forbes 2026 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* 2026 Handshake Early Talent Award* Newsweek America's Greatest Workplaces for Culture, Belonging and Community 2026From Fortune Magazine. 2026 Fortune Media IP Limited. All rights reserved. Used under license. Fortune and Fortune 100 Best Companies to Work For are registered trademarks of Fortune Media IP Limited and are used under license. Fortune Magazine, Fortune Media (USA) Corporation, and its affiliates are not affiliated with, and do not endorse products or services of, Navy Federal Credit Union. Overview 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. Design, develop, and optimize data pipelines and systems for the collection, connection, and storage of data. Manage, interpret, and derive insights from data. Implement data processing tasks, ensuring data quality and system reliability. Work under minimal supervision and use complete understanding of business needs and objectives to support projects that have impact on the achievement of operational goals. Advanced skill set and proficiency with procedures and techniques. Responsibilities Design, develop and maintain data pipelines and workflows Collaborate with stakeholders to ensure data solutions align with business needs and goals Design and build robust data pipelines for data collection, connection, and storage Develop and enforce data engineering policies and best practices to ensure data integrity Ensure data quality and performance at scale Ensure high performance and scalability of data systems Help with the collection, connection, and storage of data Lead efforts to optimize existing data workflows and ensure system reliability Build working relationships with team members and subject matter experts Lead small projects and initiatives, taking a leadership role in planning and execution Mentor and guide junior data engineering team members Qualifications Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field 5-7 years of experience in data engineering Complete knowledge and understanding of business area/specialization Advanced knowledge of programming languages (Python, Java, SQL) Experience with data management and processing tools Experience with data integration and processing tools Experience with cloud services (AWS, Azure, GCP) Advanced problem-solving skills Advanced communication, collaboration skills and the ability to manage multiple priorities effectively Advanced skill in data system design and solid understanding of data warehousing, ETL processes, and big data technologies (SQL Server, SSIS, Azure Databricks, Azure Data Factory) used to develop and support data integration, analytics, and cloud-based data platform solutions. Advanced knowledge of data engineering principles, technologies, and architecture Additional Information Hours Monday - Friday, 8:00AM - 4:30 PM Locations 820 Follin Lane, Vienna, VA 22180 5550 Heritage Oaks Dr Pensacola, FL 32526 About Us 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 2026* Yello and WayUp Top 100 Internship Programs 2025* Computerworld Best Places to Work in IT 2026* Most Loved Workplace - America's Top Most Loved Workplaces 2025* 2025 PEOPLE Companies That Care* Newsweek Most Trustworthy Companies in America 2026* Military Times 2025 Best for Vets Employers* Forbes 2026 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* 2026 Handshake Early Talent Award* Newsweek America's Greatest Workplaces for Culture, Belonging and Community 2026From Fortune Magazine. 2026 Fortune Media IP Limited. All rights reserved. Used under license. Fortune and Fortune 100 Best Companies to Work For are registered trademarks of Fortune Media IP Limited and are used under license. Fortune Magazine, Fortune Media (USA) Corporation, and its affiliates 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 View email address on click.appcast.io or by calling View phone number on click.appcast.io. This team cannot provide any information on job postings or application status. #J-18808-Ljbffr Navy Federal Credit Union