Senior Data Engineer

A Fortune 50 financial services company is seeking a highly motivated Senior Data Engineer to join their team in the McLean, Virginia area. 

Responsibilities:

Provide Data Intelligence and Data Warehousing (DW) solutions leveraging enterprise platforms and project standards Design and operationalize data science workflows in Databricks, including exploratory analysis, feature engineering, and production-ready datasets Build and maintain Azure data pipelines using DevSecOps practices Develop data integration processes for enterprise-wide use Design and build conceptual and logical data models for stakeholders Partner with business leadership to gather requirements and develop data-driven solutions Create and manage project implementation plans, including milestones and deliverables Document technical and non-technical processes for ongoing support and knowledge sharing Identify risks and issues during analytics implementation and recommend mitigation strategies Manage and manipulate large datasets, ensuring accuracy and performance Perform other duties as assigned

Qualifications:

5+ years of experience in data engineering, full stack analytics development, or related roles within enterprise environments Master's degree in Information Systems, Computer Science, Engineering, or related field (or equivalent experience) Expertise in Databricks Advanced experience with: Azure SQL, Azure Data Lake, Azure App Services Python, T-SQL Strong experience working with cloud-based data environments Experience with ETL tools and techniques Experience designing and building data pipelines, including: API ingestion Streaming ingestion methods Strong understanding of: Data warehousing Data cleaning and data quality Data pipelines and analytics techniques Ability to perform basic statistical analysis Strong communication and change management skills