Remote Senior Azure Data Engineer (ETL & Databricks PySpark)

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

Benefits offered by this job

Medical plans

Dental plan

Vision plan

Health Savings Account

Health FSA

Dependent Care FSA

Life Insurance

Disability Insurance

Travel Insurance

401(k) with match

Weekly Pay

Job summary

ManpowerGroup is seeking a Sr. Azure Data Engineer to design, build, and maintain scalable cloud data platforms using Azure services and Databricks. You will develop robust ETL/ELT processes and optimize data warehouses, data lakes, and modern analytics platforms.

The role requires 5+ years with Azure, 3+ years with Azure Databricks, 5+ years PySpark, and strong SQL skills. This remote opportunity supports Eastern Time business hours and offers a contract extension potential.

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

Azure

Azure Databricks

PySpark

Data Warehousing

SQL

Job description

ManpowerGroup is seeking a Sr. Azure Data Engineer to design, build, and maintain scalable cloud data platforms using Azure services and Databricks. You will develop robust ETL/ELT processes and optimize data warehouses, data lakes, and modern analytics platforms.

The role requires 5+ years with Azure, 3+ years with Azure Databricks, 5+ years PySpark, and strong SQL skills. This remote opportunity supports Eastern Time business hours and offers a contract extension potential.