Azure Data Engineer: ELT Pipelines & Cloud Data Solutions

IRB USA Inspire Resources; Atlanta (GA); On-site; USD 85,000 - 120,000; Full time

Job summary

IRB USA Inspire Resources is seeking a Data Engineer to support the Enterprise Data Organization in building and managing data pipelines on Azure cloud platforms. The role emphasizes SQL/ELT, data models, and data quality across ingest, transformation, and distribution.

The candidate will design automated data solutions, troubleshoot in a cloud environment, and document technical artifacts while collaborating with multiple teams. 2–3 years of data engineering experience is expected.

Qualifications

• Bachelor's degree in information systems, finance/mathematics, computer science or similar field.
• 2–3 years of experience in data engineering.
• Strong SQL skills including stored procedures and views.
• Experience with cloud data warehouses (Snowflake/Azure/Redshift) and data modeling.

Responsibilities

• Design, develop, and maintain automated data solutions aligned with business requirements.
• Develop data ingest, transformation, storage, and quality rules.
• Support and troubleshoot data environment; on-call when needed.
• Document technical artifacts for solutions.
• Collaborate with diverse teams and maintain relationships.
• Apply Agile practices in delivery.

Skills

Advanced SQL & data manipulation

ELT data loading

Analytical SQL functions

Azure Data Platform

BI tools: Tableau

CI/CD / DevOps

Education

Bachelor's degree in information systems, computer science, or related field

Tools

Snowflake

Azure DW

Redshift

Talend

Apache Airflow

Azure Data Factory

Tableau

Job description

IRB USA Inspire Resources is seeking a Data Engineer to support the Enterprise Data Organization in building and managing data pipelines on Azure cloud platforms. The role emphasizes SQL/ELT, data models, and data quality across ingest, transformation, and distribution.

The candidate will design automated data solutions, troubleshoot in a cloud environment, and document technical artifacts while collaborating with multiple teams. 2–3 years of data engineering experience is expected.