Note: The job is a remote job and is open to candidates in USA. ECS is seeking a Mid-Level Data Engineer to support the Consumer Product Safety Commission enterprise data management environment. The role focuses on designing, developing, and optimizing scalable data pipelines and services, supporting advanced analytics, machine learning readiness, and modernization of Azure-based data infrastructure.
Responsibilities
- Develop production-grade ETL workflows using Python and Microsoft-based frameworks
- Ingest, transform, and validate structured and unstructured data
- Implement schema enforcement, data validation, and quality checks
- Support Azure Data Lake Storage, Azure SQL, and Azure-based data services
- Design workflow orchestration using Azure Data Factory or Microsoft Fabric/Foundry
- Build Python-based data services using Pandas, PyTorch, TensorFlow, and related libraries
- Develop API endpoints and microservices to support analytics and ML platform interoperability
- Implement logging, monitoring, performance tuning, and operational reliability
- Collaborate with data scientists, analysts, architects, and governance teams
- Apply data governance best practices for compliance, reproducibility, and auditability
Skills
- Ability to obtain agency Public Trust clearance
- 3+ years of experience developing or supporting advanced statistical, machine learning, or data pipeline solutions
- Proficiency in Python, including Pandas
- Strong SQL skills and experience integrating relational database sources
- Hands-on experience with Azure cloud environments
- Experience with ETL development using Python and Microsoft technologies
- Experience with data validation, schema enforcement, and quality assurance
- Familiarity with open-source data processing libraries such as NumPy, scikit-learn, PyTorch, or TensorFlow
Benefits
- Remote work
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