Note: The job is a remote job and is open to candidates in USA. Everforth ECS is seeking a Senior Data Engineer to lead the design, development, and optimization of scalable enterprise data pipelines and cloud-native data services supporting the U.S. Consumer Product Safety Commission (CPSC). This role will help modernize and stabilize CPSC’s Azure-based data infrastructure while enabling advanced analytics, machine learning, and Sentinel-driven product safety initiatives.
Responsibilities
- Lead development of production-grade ETL workflows using Python and Microsoft-based technologies
- Design and optimize scalable ingestion, transformation, and validation pipelines for structured and unstructured datasets
- Implement schema enforcement, data validation, anomaly detection, and quality assurance frameworks
- Architect and manage Azure-based data solutions including Azure Data Lake Storage and Azure SQL
- Design and deploy orchestration workflows using Azure Data Factory and Microsoft Fabric/Foundry
- Develop Python-based data services leveraging libraries such as Pandas, PyTorch, TensorFlow, and related open-source frameworks
- Build APIs and microservices supporting interoperability with analytics and AI/ML platforms
- Implement monitoring, logging, fault tolerance, and performance optimization for large-scale systems
- Collaborate closely with data scientists, analysts, architects, and governance teams to deliver secure, reliable, and analytics-ready datasets
- Support Agile development processes and contribute to continuous improvement initiatives
Skills
- 5+ years of experience developing and deploying advanced statistical, machine learning, or enterprise data pipeline solutions
- Strong proficiency in Python, including Pandas and related data engineering libraries
- Strong SQL skills and experience integrating relational database systems
- Hands-on experience designing and operating solutions in Azure cloud environments
- Experience developing ETL workflows using Python and Microsoft technologies
- Experience with schema enforcement, data validation, and quality assurance practices
- Experience developing APIs and cloud-native data services
- Familiarity with workflow orchestration tools such as Azure Data Factory
- Experience with performance optimization, logging, and monitoring for enterprise-scale systems
- Familiarity with open-source data processing and ML frameworks such as PyTorch, TensorFlow, NumPy, and scikit-learn
- Master's degree, Ph.D., or equivalent professional experience in Data Science, Computer Science, Statistics, Engineering, or related field
- Microsoft Azure Data Engineer certification or equivalent cloud certification
- Experience supporting scalable, secure data engineering solutions in regulated environments
- Experience supporting AI/ML-enabled analytics platforms and cloud-native modernization initiatives
Benefits
- General Description Of Benefits
Company Overview