Data Engineer

As a Data Engineer in CPSC's Analytics Center of Excellence, your work strengthens evidence-based decision-making and supports the agency's mission to protect the public from unsafe products. The Data Engineer will design, develop, and optimize scalable data pipelines and services that power advanced analytics and machine learning solutions. The work that you do ensures that data is reliable, accessible, and ready for downstream use by data scientists, analysts, and AI/ML systems.

This position is officially titled Data Scientist. The working title is Data Engineer. The Data Engineer strengthens CPSC's Sentinel-driven product safety analytics and provides the foundation to introduce myriad operational efficiencies by delivering high-quality, secure, and interoperable data solutions in modern cloud environments.

The Data Engineer will: Design and maintain production-grade ETL/ELT pipelines using Python and Microsoft-based frameworks to ingest, transform, validate, and optimize large structured and unstructured datasets. Implement schema enforcement, data validation, and quality controls to ensure reliable, reproducible data across diverse sources. Develop scalable, fault-tolerant pipelines using open-source and cloud-native patterns.

Architect and manage Azure data solutions-including Data Lake Storage, Azure SQL, and related analytics integrations-and build automated workflows using Azure Data Factory or similar tools. Create high-performance Python-based data services; implement logging, monitoring, and performance tuning for operational robustness. Build APIs and microservices that enable secure, seamless data exchange and integration with analytics and machine-learning platforms.

Partner with data scientists, analysts, and cloud architects to deliver clean, governed data for predictive modeling, real-time monitoring, and actionable insights. Apply data governance best practices to ensure compliance, auditability, and reproducibility across workflows. Advise on data engineering initiatives and contribute to cross-agency data fusion projects; maintain current knowledge of evolving industry and federal data engineering standards.

Participate in CPSC and government-wide data engineering working groups and communities of practice. Perform other duties as assigned.