What are the responsibilities and job description for the Data Engineer – Azure Cloud & Enterprise Data Solutions position at The AES Group?
Job Title: Data Engineer – Azure Cloud & Enterprise Data Solutions
Location: Remote - USA (EST)
Let’s create our future together at The AES Group!
About The AES Group
The AES Group is a premier technology staffing and services company that has been bringing businesses and talent together for over 20 years to deliver innovative technology solutions that create meaningful impact. AES helps enterprises, including Fortune 500 organizations, engage customers, empower employees, and transform operations through cloud, data, AI, and emerging technologies.
Why Join Us?
We are hiring a Senior Azure Data Engineer to support analytics and modernization projects for a major Client. This role requires deep expertise in Azure data services, strong hands-on skills in ETL/ELT pipeline development, and a solid background in data governance.
Key Responsibilities
Location: Remote - USA (EST)
Let’s create our future together at The AES Group!
About The AES Group
The AES Group is a premier technology staffing and services company that has been bringing businesses and talent together for over 20 years to deliver innovative technology solutions that create meaningful impact. AES helps enterprises, including Fortune 500 organizations, engage customers, empower employees, and transform operations through cloud, data, AI, and emerging technologies.
Why Join Us?
- Work on high-impact cloud data initiatives
- Engage with agile teams and cross-functional stakeholders
- Opportunities to influence architecture and governance processes
We are hiring a Senior Azure Data Engineer to support analytics and modernization projects for a major Client. This role requires deep expertise in Azure data services, strong hands-on skills in ETL/ELT pipeline development, and a solid background in data governance.
Key Responsibilities
- Design, build, and maintain data pipelines using Azure Data Factory, Azure Databricks, and Synapse Analytics
- Develop scalable ETL/ELT workflows with Python, SQL, and Apache Spark
- Implement robust data models aligned to enterprise architecture standards
- Engineer analytics and data integration pipelines in cloud/hybrid environments
- Support data governance efforts including metadata management, data lineage, and cataloging
- Drive data quality and compliance across regulated domains (healthcare, finance, or federal environments)
- Collaborate in Agile teams and contribute to CI/CD pipelines via Azure DevOps
- 10 years of experience in data engineering, including 5 years on Azure
- Proven expertise in:
- Azure Data Factory
- Databricks
- Azure Synapse
- Apache Spark, SQL, and Python
- Strong background in building cloud-native data solutions and modeling complex data sets
- Experience in regulated or federal data environments
- Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred)
- Excellent communication and stakeholder management skills
- Familiarity with Azure DevOps and CI/CD automation
- Experience authoring secure, scalable ETL workflows in compliance-focused environments
- Ability to lead and normalize data structures for enterprise use
- Strong knowledge of data cataloging, lineage tracking, and data governance best practices
- Passion for documentation, standards, and continuous improvement