Entry Level Data Engineer

2 weeks ago

Vienna VA, United States Navy Federal Credit Union Full time

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. 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
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
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
And we're looking for team members who are passionate about our mission—making a difference in military members' and their families' lives. Military Times 2022 Best for Vets Employers
• WayUp Top 100 Internship Programs
• Forbes® 2022 The Best Employers for New Grads
• Fortune Best Workplaces for Women
• Computerworld® Best Places to Work in IT
• Ripplematch Campus Forward Award - Excellence in Early Career Hiring
• Fortune Best Place to Work for Financial and Insurance Services
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
Disclaimers: Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need. 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. %

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