Remote Senior Azure Data Engineer | PySpark & Databricks

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

Benefits offered by this job

Medical Plan

Dental Plan

Vision Plan

HSA

401(k) Match

Weekly Pay

Job summary

ManpowerGroup is seeking a Sr. Azure Data Engineer to join a leading energy sector organization. This remote role requires supporting Eastern Time business hours and involves building cloud-based data platforms and pipelines using Azure services and Databricks.

You will design ETL/ELT processes, optimize data warehouses and lakes, and translate business needs into technical solutions while collaborating across cross-functional teams.

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

Databricks

PySpark

SQL

Data warehousing

Tools

Azure Databricks

Job description

ManpowerGroup is seeking a Sr. Azure Data Engineer to join a leading energy sector organization. This remote role requires supporting Eastern Time business hours and involves building cloud-based data platforms and pipelines using Azure services and Databricks.

You will design ETL/ELT processes, optimize data warehouses and lakes, and translate business needs into technical solutions while collaborating across cross-functional teams.