Senior Data Engineer

As a Senior Data Engineer in CPSC's Analytics Center of Excellence, you'll design, build, and maintain the data pipelines and infrastructure that allow CPSC to collect, process, and leverage high-quality data for analytics and operational needs. You will ensure data is reliable, accessible, and optimized for downstream use by data scientists, analysts, and AI/ML systems that drive policy, modernization, and safety decisions.This position is officially titled Data Scientist. The working title is Senior Data Engineer. The Senior Data Engineer serves as a technical authority within the Analytics Center of Excellence (COE), responsible for architecting, leading, and optimizing enterprise-scale data solutions that drive advanced analytics, machine learning, and AI initiatives across the agency. This position is pivotal in shaping CPSC's data strategy, ensuring robust, secure, and scalable data infrastructure to support mission-critical programs and inform policy decisions. The incumbent regularly interfaces with senior leadership, cross-functional teams, and external partners to advance the agency's evidence-based, data-driven culture. The Senior Data Engineer: Directs the design and implementation of complex, scalable data pipelines and services, leveraging cloud-native and open-source technologies (e.g., Azure Data Lake, Azure SQL, Data Factory, Python frameworks) to support predictive modeling, real-time analytics, and operational dashboards. Initiates, plans, and executes major developmental projects, often representing an important segment of the agency's operating programs. Coordinates cross-functional teams, manages resources, and ensures timely delivery of high-impact data products. Develops and enforces schema, validation, and quality controls across diverse data sources. Implements robust ETL/ELT workflows, API integrations, and microservices for seamless data exchange and analytics. Architects secure, efficient, and reproducible data workflows in modern cloud environments, ensuring compliance with federal data governance and AI risk management frameworks. Designs and implements high-quality data pipelines for ingestion, transformation, validation, quality enforcement, and preprocessing of diverse datasets. Ensures data provenance, lineage, interoperability, schema consistency, and compliance with data governancerequirements. Provides technical mentorship to junior engineers and data scientists. Facilitates knowledge sharing through working groups, communities of practice, and agency-wide forums. Establishes rapport with internal and external stakeholders to understand organizational goals andrequirements, influencing adoption of findings and recommendations. Performs additionalresponsibilities as assigned, contributing to the agency's strategic objectives.