Azure Data Engineer — Pipelines, Databricks & Power BI

Quantum Technologies. LLC; Columbia Township (MO); On-site; USD 90,000 - 130,000; Full time

Job summary

Quantum Technologies LLC is seeking a data engineer to design and build end-to-end data pipelines using Azure Data Factory, Databricks, and other cloud-native tools. You will work with stakeholders to deliver actionable insights and develop Power BI dashboards to support decision-making across teams.

The role emphasizes ETL, data quality, governance, and scalable, reliable data workflows, with collaboration across technical and non-technical teams in a dynamic environment.

Qualifications

• Experience with Azure Data Factory, Synapse, and Storage services.
• Strong Python for data manipulation and automation.
• Proficient in Power BI for dashboards and visualization.

Responsibilities

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

Skills

Azure Data Factory

Databricks

Python

Power BI

SQL

Data modeling

Tools

Databricks

Azure Data Factory

Azure Synapse Analytics

Job description

Quantum Technologies LLC is seeking a data engineer to design and build end-to-end data pipelines using Azure Data Factory, Databricks, and other cloud-native tools. You will work with stakeholders to deliver actionable insights and develop Power BI dashboards to support decision-making across teams.

The role emphasizes ETL, data quality, governance, and scalable, reliable data workflows, with collaboration across technical and non-technical teams in a dynamic environment.