Data Engineer

Agility Partners is seeking a qualified Engineer to fill an open position with one of our clients in the energy industry. This is an exciting opportunity to build and enhance cloud-based data platforms, backend services, and AI-enabled applications that support data-driven business solutions. The ideal candidate will combine data engineering and software development expertise to create reliable data pipelines, scalable APIs, and integrated analytics capabilities using modern Azure technologies.

Do not wait to apply after reading this description a high application volume is expected for this opportunity.
A Little About This GigDesign, develop, and maintain scalable data pipelines and orchestration workflows using Azure Data Factory, Azure Synapse, Azure Data Lake Storage Gen2, SQL, and Python.Build and support backend services, REST APIs, and application integrations using Python, FastAPI, Azure Functions, and containerized solutions.Implement data quality checks, validation frameworks, automated testing, and CI/CD processes to improve reliability and streamline deployment.Integrate machine learning and AI capabilities into data platforms and applications, including feature pipelines, model-serving APIs, and agentic architectures.
The Ideal CandidateHands-on experience with data engineering tools and technologies, including Azure Data Factory, Azure Synapse, Azure Data Lake Storage Gen2, SQL, and Python.Experience developing and maintaining data pipelines, orchestration workflows, and data integration solutions.Proficiency in Python-based software development, including building backend services and REST APIs with frameworks such as FastAPI.Familiarity with Azure Functions, containerized services, and cloud-based application architecture.Experience with GitHub, CI/CD pipelines, automated testing, and software deployment best practices. xzbcwsv Understanding of asynchronous or event-driven architectures and integrating applications with data platforms.