Azure Data Engineer — Pipelines, Data Lakes & Cloud ETL

Quantum Technologies. LLC; Grand Rapids (MI); On-site; USD 120,000 - 170,000; Full time

Job summary

Quantum Technologies. LLC in Grand Rapids seeks a data engineer to design, build, and optimize modern data pipelines in Azure. You will work across data lakes, warehouses, and analytics foundations to enable reliable cloud-based insights.

The role emphasizes hands-on development with Azure Data Factory, Azure Data Lake Storage, and scalable ETL/ELT workflows, plus governance, security, and migration support.

Qualifications

• Expertise in developing data pipelines using Azure Data Factory and maintaining enterprise data platforms.
• Experience building and managing data lakes with Azure Data Lake Storage.
• Ability to design ETL/ELT workflows ingesting data from databases, APIs, files, and cloud apps.
• Knowledge of Mapping Data Flows, SQL, and Spark for transformations.
• Experience with incremental loads, CDC, and data validation.
• Strong troubleshooting and optimization of data pipelines for performance.
• Understanding of data modeling, warehousing, and cloud security/governance.
• Experience migrating on-premises data to Azure cloud environments.

Responsibilities

• Design, develop, and maintain data pipelines using Azure Data Factory.
• Build and manage enterprise-scale data lakes using Azure Data Lake Storage.
• Develop ETL/ELT workflows to ingest data from multiple sources.
• Implement data transformation using Mapping Data Flows, SQL, and Spark.
• Monitor and optimize pipelines for performance and reliability.
• Configure incremental loads, CDC, and data validation processes.
• Collaborate with analysts and stakeholders to understand data requirements.
• Design data models and support data warehousing solutions.
• Implement security, governance, and access controls for cloud platforms.
• Create documentation and maintain data architecture standards.
• Support migration of on-premises data to Azure cloud environments.

Skills

Azure Data Factory

Azure Data Lake Storage

ETL/ELT workflows

SQL

Spark

CDC and data validation

Data modeling & warehousing

Cloud security & governance

Job description

Quantum Technologies. LLC in Grand Rapids seeks a data engineer to design, build, and optimize modern data pipelines in Azure. You will work across data lakes, warehouses, and analytics foundations to enable reliable cloud-based insights.

The role emphasizes hands-on development with Azure Data Factory, Azure Data Lake Storage, and scalable ETL/ELT workflows, plus governance, security, and migration support.