Data Engineer
Analytics
Azure Data Factory
Azure Synapse Analytics
Big Data
Business Analytics
Business Intelligence
Data Analysis
Data Analytics
Data Engineer
Data Integration
Data Pipeline
Data Platform
Data Processing
Data Visualization
Data Warehouse
Database
Databricks
DevOps
ETL
Microsoft Azure
Power BI
Reporting and Analytics
SQL
SSIS
Job Description
At Navy Federal Credit Union, the Data Engineer helps shape Lending data infrastructure by designing, developing, and optimizing data pipelines and systems to ensure data quality and reliability. This onsite role in Vienna, VA collaborates with business partners to enable accurate analytics and informed decision making.
Responsibilities
- 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
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 Navy Federal Credit Union
- 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 2026