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# Data Engineer

- **Company:** Agility
- **Location:** Carmel, IN, United States
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Applications Architecture, Application Integration Architecture, Automation of Tests, Cloud Computing, Continuous Integration, Data Validation, Data Integration, Github, Python (Programming Language), Software Tools, Azure Data Lake, Software Deployment, Software Engineering, SQL Databases, Azure Data Factory, Fastapi, Event Driven Architecture, Data Management, Machine Learning Operations, Restful APIs, Azure Synapse Analytics, Data Pipelines, Serverless Computing
- **Published:** October 23, 2026
- **Apply:** https://www.careerboard.com/us/en/find-jobs-in-United-States/-7E0E7C90EA693BA79E/

## About the Role

* Hands-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 Back End 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.
 * Understanding of asynchronous or event-driven architectures and integrating applications with data platforms.

## Description

* Design, 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 Back End 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.