Data Engineer

This onsite data engineering role focuses on designing, building, and optimizing data pipelines and systems for Lending data, ensuring data quality and reliability, and collaborating with business partners. The position is based in Vienna, VA.

Responsibilities

• Create and sustain data pipelines and workflows that back business and data initiatives
• Architect and implement scalable pipelines to collect, integrate, and store data
• Develop automation scripts, stored procedures, and scheduled jobs to streamline data loading and processing
• Implement data processing tasks while preserving data integrity and reliability
• Tune existing workflows for performance and efficiency
• Ensure data quality and performance at scale across multiple data platforms
• Maintain high availability, scalability, and reliability of data systems
• Apply query optimization methods such as analyzing execution plans, indexing, and partitioning
• Collaborate with teammates and business units on projects and data initiatives
• Contribute to the creation and enforcement of data engineering standards, policies, and best practices
• Support data governance, metadata management, and data quality initiatives
• Assist with database administration tasks, 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

Requirements

• 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

Technologies

• SQL
• xml/JSON
• SSIS
• Azure Synapse
• Azure Data Factory
• Azure Databricks
• PySpark
• Power BI
• Azure DevOps
• SQL Server

Hours

Monday - Friday, 8:00AM - 4:30PM

Locations

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

About Us

Navy Federal Credit Union is frequently recognized for workplace excellence. Notable accolades include Fortune 100 Best Companies to Work For in 2026, Computerworld Best Places to Work in IT 2026, and Newsweek Most Trustworthy Companies in America 2026, among others. The organization has also been honored by Yello and WayUp, RippleMatch, Military.com, Handshake, and Forbes for various leadership and culture awards in recent years.

• 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 Best for Vets Employers 2025
• Forbes America’s Best Large Employers 2026
• Forbes America’s Best Employers for New Grads 2025
• Forbes America’s Best Employers for Tech Workers 2025
• RippleMatch Campus Forward Award for Overall Excellence 2025
• Military.com Top Military Spouse Employers 2025
• Handshake Early Talent Award 2026
• Newsweek America’s Greatest Workplaces for Culture, Belonging and Community 2026