Data Engineer - Databricks & Azure ETL Pipelines

Quantum Technologies. LLC; Fort Wayne (IN); On-site; USD 98,000 - 139,000; Full time

Job summary

Quantum Technologies. LLC is seeking a Data Engineer in Fort Wayne, IN to design and optimize data pipelines using Databricks and Azure Data Factory. The role focuses on ETL/ELT processes, SQL data transformations, and Python/PySpark for large-scale data handling.

The position is onsite for 12+ months with potential extensions. You will collaborate across teams to ensure data quality and reliability in data warehouses or lakes.

Qualifications

• Experience with Databricks and Azure Data Factory (ADF).
• Strong understanding of ETL/ELT concepts.
• Good knowledge of SQL and data transformations.
• Basic experience with Python or PySpark.
• Understanding of Azure cloud services and data lake concepts.

Responsibilities

• Develop and maintain ETL/ELT pipelines using Azure Data Factory (ADF).
• Work with Databricks for data processing and transformation.
• Write and optimize SQL queries for data extraction and transformation.
• Work with PySpark or Python for large-scale data processing.
• Integrate data from multiple sources into data warehouses or data lakes.
• Monitor, troubleshoot, and optimize data pipelines.
• Collaborate with teams to ensure data quality and reliability.

Skills

ETL/ELT concepts

SQL

Python/PySpark

Tools

Databricks

Azure Data Factory

Job description

Quantum Technologies. LLC is seeking a Data Engineer in Fort Wayne, IN to design and optimize data pipelines using Databricks and Azure Data Factory. The role focuses on ETL/ELT processes, SQL data transformations, and Python/PySpark for large-scale data handling.

The position is onsite for 12+ months with potential extensions. You will collaborate across teams to ensure data quality and reliability in data warehouses or lakes.