Full Stack Engineer

Job Description - add details hereBasic Purpose:Architects and delivers full-stack analytics solutions spanning data ingestion, transformation, modeling, and visualization using cloud and big-data technologies (Azure, Databricks, SQL, Spark). Builds resilient data pipelines and analytical datasets that support descriptive, diagnostic, and advanced analytics use cases, including data science and forecasting models. Writes complex SQL and Spark code optimized for scale, governance, and CI/CD deployment. Acts as a technical and analytical expert, independently tackling highly complex problems, leading functional initiatives, and translating raw data into trusted insights that improve the performance and decision-making capability of Navy Federal's analytics ecosystem.Job title: NFCUJP00016790 - Full Stack Engineer Client: NFCU Visa: US Citizen, GC Location: Hybrid at Vienna, VAResponsibilities:Provide Data Intelligence and Data Warehousing (DW) solutions and support by leveraging project standards and leading data platformsDesign and operationalize data science workflows within Databricks, including exploratory analysis, feature engineering, and production-ready analytical datasets integrated into CI/CD pipelines.Build and maintain Azure data pipelines using DevSecOps processDefine and build data integration processes to be used across the organizationBuild conceptual and logical data models for stakeholders and managementWork directly with business leadership to understand data requirements; propose and develop solutions that enable effective decision-making and drives business objectivesPrepare advanced project implementation plans which highlight major milestones and deliverables, leveraging standard methods and work planning toolsDocument existing and new processes to develop and maintain technical and non-technical reference materials.Recognize potential issues and risks during the analytics project implementation and suggest mitigation strategiesCommunicate and own the process of manipulating and merging large datasetsPerform other duties as assignedQualifications and Education Requirements:Master's degree in information systems, Computer Science, Engineering, or related field, or the equivalent combination of education, training and experienceExpert skill in DatabricksAdvanced skill in Azure SQL, Azure Data Lake, and Azure App Service, Python, T-SQLExperienced in sourcing, maintaining, and updating data in Cloud environmentsKnowledge of and the ability to perform basic statistical analysisExperienced in the use of ETL tools and techniquesExperience Designing and building of data pipelines using API ingestion and Streaming ingestion methods.Demonstrates change management and/or excellent communication skillsUnderstands data warehousing, data cleaning, data quality, data pipelines and other analytical techniques required for data usage