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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - Advanced Data Integration & Cloud Solutions - **Company:** Everforth Ecs - **Location:** Fairfax, VA, United States (Remote available) - **Experience:** Expert - **Salary:** $130,000.0 - $150,000.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Application Frameworks, Microsoft Azure, Microsoft Online Services, Cloud Engineering, Cloud Storage, Data as a Services, Data Validation, Information Engineering, Extract Transform Load (ETL), Data Systems, Relational Databases, Database Queries, Electronic Data Interchange (EDI), Fault Tolerance, Python (Programming Language), Machine Learning, Microsoft Data Access Components, Microsoft Software, SQL Azure, NumPy, Open Source Technology, Performance Tuning, Tensorflow, Azure Machine Learning, Azure Data Lake, Trusted Systems, Unstructured Data, Web Services, Workflow Management Systems, Data Logging, Cloud Platform System, Azure Data Factory, Pytorch, Pandas, Data Lakes, Scikit Learn, Information Technology, Data Analytics, Enterprise Integration, Cloud Integration, Api Design, Data Pipelines, Web Api, Microservices - **Published:** August 22, 2026 - **Apply:** https://www.dice.com/job-detail/38e69c5d-f812-4805-89c8-d699da118754 ## About the Role * 5+ years developing and deploying advanced statistical and machine learning models or supporting data pipelines for such models. * Proficiency in Python (Pandas required; scikit-learn, NumPy, and related libraries preferred). * Strong SQL skills and experience integrating data from relational databases. * Hands-on experience in cloud environments (Azure); Microsoft Data Engineer certification advantageous. * Open-source frameworks for production-grade data pipelines. * ETL development using Python and Microsoft technologies. * Data validation, schema enforcement, and quality assurance. * API development within Microsoft ecosystem. * Performance optimization, logging, and monitoring for large-scale systems. * Azure Data Lake Storage integration and Azure SQL connectivity. * Workflow orchestration with Azure Data Factory. * Deployment and operation of Python-based data services in Azure. * Familiarity with open-source data processing libraries (Pandas, PyTorch, Tensorflow etc.). Desired Skills * Master's, Ph.D., or equivalent professional experience in Data Science, Computer Science, Statistics, Engineering, or related field. * Knowledge of data engineering patterns for scalable, secure systems in regulated environments. ## Description The Senior Data Engineer will lead the design, build, and optimize scalable data pipelines and services that power advanced analytics and machine learning solutions. This role emphasizes data quality, performance, and interoperability in modern cloud environments, enabling CPSC's strategic acceleration toward Sentinel-driven product safety analytics. The engineer will ensure secure, efficient, and reproducible data workflows that support predictive modeling, real-time monitoring, and actionable insights., * Data Pipeline Engineering + Develop production-grade ETL workflows using Python and Microsoft-based frameworks to ingest, transform, and validate large-scale structured and unstructured data. + Implement schema enforcement, data validation, and quality checks to maintain integrity across diverse sources. + Optimize pipelines for performance, scalability, and fault tolerance using open-source and cloud-native patterns. * Cloud Integration & Orchestration + Architect and manage Azure-based data solutions, including Data Lake Storage, Azure SQL, and cloud storage access from Python services. + Design and deploy workflow orchestration using Azure Data Factory or Foundry for scheduling, monitoring, and automation. + Ensure secure integration of APIs and services within the Microsoft ecosystem for seamless data exchange. * Advanced Technical Development + Build Python-based data services leveraging libraries such as Pandas, Pytorch, and other open-source frameworks for high-performance processing. + Implement logging, monitoring, and performance tuning for robust operational reliability. + Develop API endpoints and microservices to enable interoperability with analytics and ML platforms. * Collaboration & Governance + Work closely with data scientists, analysts, and cloud architects to deliver clean, reliable data for predictive modeling and real-time dashboards. + Apply data governance best practices, ensuring compliance, reproducibility, and auditability across workflows. + Contribute to Agile team processes, driving iterative improvements and shared problem-solving. Salary Range: $130,000 - $150,000 ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Web APIs you might not know about](https://www.wearedevelopers.com/videos/281-web-apis-you-might-not-know-about) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [Vectorize all the things! 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