Remote Azure Data Engineer | PySpark & Databricks Expert

ManpowerGroup Global, Inc.; Baltimore (MD); On-site; USD 98,000 - 103,000; Full time

Benefits offered by this job

Medical and Prescription Drug Plans

Dental Plan

Vision Plan

Health Savings Account

401(k), Plus Match

Weekly Pay

Job summary

ManpowerGroup Global, Inc. is seeking a Sr. Azure Data Engineer to join a leading energy-sector client.

This remote role supports Eastern Time business hours, with pay ranging from $71-75/hr based on experience. You will design cloud data platforms, build ETL/ELT pipelines, and optimize data warehouses and lakes, collaborating with stakeholders to meet business needs. Requirements include 5+ years on Azure, 3+ years Databricks, 5+ years PySpark, 8+ years in data warehousing/engineering, and

Qualifications

• 5+ years of experience with Microsoft Azure cloud services.
• 3+ years of hands-on experience with Azure Databricks.
• 5+ years of experience developing solutions using PySpark.
• 8+ years of experience in data warehousing and data engineering.
• Advanced SQL development and database design experience.

Responsibilities

• Design, develop, and support scalable cloud-based data platforms and pipelines using Azure services and Databricks.
• Build and maintain efficient ETL/ELT processes for structured and unstructured data sources.
• Design and optimize enterprise data warehouses, data lakes, and modern analytics platforms.
• Create high-quality, secure, and maintainable data solutions following engineering best practices.
• Collaborate with stakeholders to translate business requirements into technical solutions and support cloud migration initiatives.

Skills

Cloud data engineering

SQL

ETL/ELT

Data warehousing

Data modeling

Tools

Azure Databricks

PySpark

Job description

ManpowerGroup Global, Inc. is seeking a Sr. Azure Data Engineer to join a leading energy-sector client.

This remote role supports Eastern Time business hours, with pay ranging from $71-75/hr based on experience. You will design cloud data platforms, build ETL/ELT pipelines, and optimize data warehouses and lakes, collaborating with stakeholders to meet business needs. Requirements include 5+ years on Azure, 3+ years Databricks, 5+ years PySpark, 8+ years in data warehousing/engineering, and