Data Engineer

Addresses expanding opportunities by seeking experienced Data Engineers. Requires a diverse skill set including system administration, DevOps, infrastructure automation, data modeling, and workflow orchestration. Builds enterprise data platforms and systems for a variety of clients, so this candidate should have experience with supporting modern data technologies. The ideal candidate will have experience with multiple data engineering technologies across multiple clouds and deployment scenarios. Experience with Azure DevOps, Databricks, and Python is key. Responsibilities include designing, building, and deploying data platforms in the cloud (Azure, AWS, GCP) and automate their operation. Provide leadership in applying software development principles and best practices, including Continuous Integration, Continuous Delivery/Deployment, and managing Infrastructure as Code, Automated Testing across multiple software applications.