Overview:
Senior Data Engineer in EY’s Government and Public Sector practice helps clients turn data into actionable insights. You design and deploy scalable data pipelines and analytics solutions to support mission-critical decisions. You’ll work with stakeholders to transform requirements into dashboards, BI, and automation apps, focusing on operational analytics and AI-enabled tools. This role offers growth in a high-visibility, data-driven environment with hybrid work and travel expectations. Compensation / Benefits medical and dental coverage pension and 401(k) plans paid time off flexible hybrid work model paid holidays vacation policy
Responsibilities:
Design, develop, and maintain enterprise data pipelines in modern cloud environments (medallion architecture Bronze/Silver/Gold) and automate ETL/ELT workflows Integrate data from multiple authoritative systems (e.g., Maximo, iNFADs, EDW, Databricks/Jupiter) using APIs and ingestion patterns Implement data quality controls, lineage, monitoring, and alerting to improve governance and reliability Transform business requirements into analytics, dashboards, and mission-support applications for government stakeholders Support data analytics, workflow automation, and low-code solutions through Power Platform-based initiatives Contribute to a growing portfolio focused on operational analytics and enterprise reporting
Key requirements:
Must be eligible to obtain and maintain a Secret Clearance Bachelor’s degree 3-5 years of experience in AI & Data Willingness to work in-person as needed Experience designing and maintaining enterprise data pipelines in cloud environments Experience integrating data across multiple systems (APIs, ingestion, data transformation) Leadership with a strong vision Stakeholder collaboration Ability to adapt in a fast-changing government context Enterprise data pipelines in cloud environments Medallion architecture (Bronze/Silver/Gold) ETL/ELT workflows