Sr. Azure Data & ML Engineer – Databricks, Python & MLOps
ICONMA, LLC · Posted Nov 13, 2026
- Mason, Ohio, United States
- Hybrid
- Full-time · Senior
- 13+ years
Design, develop, and maintain scalable data ingestion, transformation, and ETL/ELT pipelines; build and optimize Azure-based data platforms; support deployment and operationalization of machine learning models; implement monitoring, logging, troubleshooting, and performance optimization; collaborate with data scientists and engineering teams; develop reusable, automated components following cloud engineering best practices.
Responsibilities
- Design, develop, and maintain scalable data ingestion, transformation, and ETL/ELT pipelines.
- Build and optimize Azure-based data platforms using Databricks, Data Lake, Synapse, and related technologies.
- Support deployment and operationalization of machine learning models through CI/CD and MLOps practices.
- Implement monitoring, logging, troubleshooting, and performance optimization for data and ML workloads.
- Collaborate with data scientists and engineering teams to translate requirements into production-ready solutions.