Azure Data Engineer — Onsite Raleigh: ETL & Data Pipelines

Focused HR Solutions; Raleigh (NC); On-site; USD 90,000 - 130,000; Full time

Job summary

Focused HR Solutions in Raleigh, NC seeks an experienced Azure Data Engineer to join the team on-site. You will import raw data into Azure, analyze data, and create ETL rules to move data from staging to processed areas.

The role supports modernization and digital transformation initiatives. The ideal candidate will have strong data engineering, cloud computing expertise, and hands-on experience with Azure data services, ETL, SQL, and data warehousing.

Qualifications

• Bachelor's degree in computer science, engineering, or a related field.
• Proven experience with data migration, ETL, and data integration.
• Hands-on experience with data warehousing concepts and SQL on Azure.

Responsibilities

• Collaborate with cross-functional teams to understand requirements, analyze and organize raw data import, and identify ETL rules.
• Identify and apply transformation rules for legacy data migration from mainframe systems to Azure.
• Develop and implement data pipelines, ETL processes, and data integration solutions to facilitate data conversion.
• Develop and maintain documentation, best practices, and standards for data engineering processes.
• Provide technical leadership and mentorship to team members.
• Explore ways to enhance data quality and reliability.

Skills

Data modeling

Azure data services

ETL processes

SQL / T-SQL

Data security & compliance

Data monitoring & optimization

Scripting & automation

Education

Bachelor's degree in computer science or related field

Tools

Azure Data Factory

Azure Databricks

Azure SQL Database

Azure Cosmos DB

Azure Data Lake Storage

Azure Blob Storage

ARM templates

Job description

Focused HR Solutions in Raleigh, NC seeks an experienced Azure Data Engineer to join the team on-site. You will import raw data into Azure, analyze data, and create ETL rules to move data from staging to processed areas.

The role supports modernization and digital transformation initiatives. The ideal candidate will have strong data engineering, cloud computing expertise, and hands-on experience with Azure data services, ETL, SQL, and data warehousing.