ETS Engineer IV - Data Engineer (AI/ML/NLP)

Responsible for data engineering in an Azure/Databricks data ecosystem that includes an enterprise data lake, data warehouse, and streaming analytics. This role will work in NFCU’s Enterprise Data and Information Management team focusing on designing and building data warehousing and gold-layer semantic solutions for enterprise-wide consumption. The candidate will design, data model, develop, test, maintain and evaluate system solutions. Must cultivate engagement with various stakeholders to align on expectations, evolve data solutions, and collaborate to deliver business impact. Solves complex problems; takes a broad perspective to identify solutions and works independently or mentors junior staff.

• Design and develop data engineering solutions for batch and near real time datasets.
• Apply engineering principles into the design and enhancement of new and existing solutions
• Lead, guide and mentor less experienced staff
• Document new system components, or modifications to existing components
• Improve how we deliver solutions with process innovation, application of new technologies, and task automation
• Ensure the security and integrity of system and product solutions including compliance with Navy Federal, industry engineering and Information Security principles and practices
• Ensure the quality of deliverables by developing automated controls and performing unit, integration, and user acceptance testing
• Perform engineering technology research, procurement, deployment, and configuration for new and modified systems
• Present clear, organized and concise information to all audiences through a variety of media to enable effective business decisions
• Perform other duties as assigned

• Significant experience building Data Warehouses (Azure Synapse Analytics or similar), Data Lakes (Azure Data Lake or similar), ETL/ELT pipelines (Databricks or similar), and data streaming (Azure Event Hub, Kafka, Cosmos, MongoDB, or similar)
• Expert knowledge of SQL
• Experience in data engineering programming languages. (Python, Spark, or similar) 
• Knowledge of data engineering requirements and design practices including fact qualifier matrices, dimensional modeling
• Data modeling, including knowledge of modeling tools and experience building consumption layer models with Erwin or similar modeling tools
• Experience modeling and designing no-SQL streaming solutions with Hackolade or similar tools
• Experience in error handling, data validation and reconciliation
• Experience working in retail banking or credit unions
• Advanced research, analytical, and problem solving skills
• Advanced verbal and written communication skills
• Experience with Agile software development practices
• Bachelors in Information Technology, Data Science, Analytics, Computer Science, Engineering or the equivalent combination of training, education, and experience

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

Location: 820 Follin Lane, Vienna, VA 22180 

You have goals, dreams, hobbies, and things you’re passionate about—what’s important to you is important to us. We’re looking for people who not only want to do meaningful, challenging work, keep their skills sharp and move ahead, but who also take time for the things that matter to them—friends, family, and passions. And we're looking for team members who are passionate about our mission—making a difference in military members' and their families' lives. Together, we can make it happen. Don’t take our word for it:

• Best Companies for Latinos to Work for 2024
• Computerworld® Best Places to Work in IT
• Forbes® 2024 America’s Best Large Employers
• Forbes® 2023 The Best Employers for New Grads
• Fortune Best Workplaces for Millennials™ 2023   
• Fortune Best Workplaces for Women ™ 2023       
• Fortune 100 Best Companies to Work For® 2023
• Military Times 2023 Best for Vets Employers
• Newsweek Most Loved Workplaces 
• Ripplematch Campus Forward Award - Excellence in Early Career Hiring
• Yello and WayUp Top 100 Internship Programs

Equal Employment Opportunity: Navy Federal values, celebrates, and enacts diversity in the workplace. Navy Federal takes affirmative action to employ and advance in employment qualified individuals with disabilities, disabled veterans, Armed Forces service medal veterans, recently separated veterans, and other protected veterans. EOE/AA/M/F/Veteran/Disability EOE/AA/M/F/Veteran/Disability

Hybrid Workplace: Navy Federal Credit Union is a hybrid workplace, and details will be discussed during your interview process.

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.

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