Azure Data Engineer

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

This role focuses on developing reliable data pipelines, managing enterprise-scale data lakes, implementing ETL/ELT workflows, and supporting cloud-based analytics and data warehousing solutions.

The ideal candidate brings expertise in Azure Data Factory, Azure Data Lake Storage, data transformation technologies, and cloud data engineering practices.

Key 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, including databases, APIs, flat files, and cloud applications.
• Implement data transformation processes using Mapping Data Flows, SQL, and Spark technologies.
• Monitor, troubleshoot, and optimize data pipelines for performance and reliability.
• Configure incremental data loads, Change Data Capture (CDC), and data validation processes.
• Collaborate with data analysts, business stakeholders, and development teams to understand data requirements.
• Design data models and support data warehousing solutions.
• Implement security, governance, and access controls for cloud data platforms.
• Create technical documentation and maintain data architecture standards.
• Support the migration of on-premises data solutions to Azure cloud environments.

Required Qualifications:

• Expertise in Azure Data Factory for data pipeline development and maintenance.
• Experience with Azure Data Lake Storage and enterprise-scale data lakes.
• Experience developing ETL/ELT workflows for data ingestion from multiple sources.
• Knowledge of Mapping Data Flows, SQL, and Spark technologies for data transformation.
• Experience with incremental data loads, Change Data Capture (CDC), and data validation.
• Ability to troubleshoot and optimize data pipelines for performance and reliability.
• Knowledge of data modeling, data warehousing, and cloud data platform security and governance.
• Experience supporting on-premises data migration to Azure cloud environments.

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.