Data Engineer

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

Key Responsibilities:

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

Required Skills & Qualifications:

• Hands-on experience with Microsoft Azure (Data Factory, Synapse, Storage, etc.).
• Proficiency in Databricks for big data processing and analytics.
• Strong Python programming skills for data manipulation, automation, and integration.
• Expertise in Power BI for dashboard creation and data visualization.
• Solid understanding of SQL and relational database concepts.
• Experience with data modeling and performance tuning.
• Excellent communication skills to work effectively with technical and non-technical stakeholders.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.