Azure Data Engineer: Pipelines, Analytics & Dashboards

Machine Learning Technologies, LLC; Columbia Township (MO); On-site; USD 90,000 - 120,000; Full time

Job summary

Machine Learning Technologies, LLC is seeking a data engineer to design and manage scalable data pipelines in a cloud-first environment, focusing on Azure Data Factory and Databricks. You will build ETL processes, create Power BI dashboards, and collaborate with stakeholders to translate reporting needs into actionable insights while maintaining data quality and governance across systems.

You will work cross-functionally with analytics teams to optimize data models and deliver timely, reliable

Qualifications

• Hands-on experience with Azure-based data pipelines and cloud analytics.
• Strong Python skills for data manipulation and automation.
• Experience creating dashboards and reports with Power BI.
• Solid SQL and relational database concepts.
• Experience with data modeling and performance tuning.
• Excellent communication with technical and non-technical stakeholders.

Responsibilities

• Design and develop data pipelines using Azure Data Factory, Databricks, and cloud-native tools.
• Implement ETL processes for data ingestion, transformation and storage.
• Collaborate with stakeholders to understand reporting needs and deliver insights.
• Develop and maintain Power BI dashboards to support decision-making.
• Optimize data workflows for performance, scalability and reliability.
• Ensure data quality and governance across systems.
• Troubleshoot and resolve data pipeline and reporting issues.

Skills

Azure Data Factory

Databricks

Python

Power BI

SQL

Data modeling

Communication

Tools

Azure Synapse

Azure Storage

Job description

Machine Learning Technologies, LLC is seeking a data engineer to design and manage scalable data pipelines in a cloud-first environment, focusing on Azure Data Factory and Databricks. You will build ETL processes, create Power BI dashboards, and collaborate with stakeholders to translate reporting needs into actionable insights while maintaining data quality and governance across systems.

You will work cross-functionally with analytics teams to optimize data models and deliver timely, reliable