Senior Data Engineer: Build Scalable Data Lakes & Pipelines

ManpowerGroup Global, Inc.; Chicago (IL); On-site; USD 120,000 - 160,000; Full time

Job summary

ManpowerGroup Global, Inc. is seeking a Senior Data Engineer to join the Data & Analytics team in Hanover, NJ. You will design and implement scalable data pipelines, build data lakes and warehouses, and collaborate with stakeholders to define data requirements.

The role emphasizes performance, cost efficiency, and data quality in cross-functional projects. The ideal candidate will have strong SQL/Python skills, experience with ETL/ELT processes, and expertise in data governance and dimensional

Qualifications

• Strong experience in designing and building large-scale data platforms.
• Expertise in data warehousing and dimensional modeling.
• Experience with ETL/ELT design and implementation.
• Strong understanding of data governance, metadata management, and data quality frameworks.
• Advanced proficiency in Python and SQL.

Responsibilities

• Design, develop, and maintain scalable and reliable data pipelines for batch and real-time processing.
• Build and manage enterprise data lakes, data warehouses, and data marts.
• Develop ETL/ELT solutions using modern data engineering tools and frameworks.
• Collaborate with business stakeholders, architects, analysts, and data scientists to understand data requirements.
• Optimize data processing workflows for performance, scalability, and cost efficiency.

Skills

Large-scale data platforms

Data warehousing

Dimensional modeling

ETL/ELT design

Data governance

Metadata management

Data quality frameworks

Python

SQL

Job description

ManpowerGroup Global, Inc. is seeking a Senior Data Engineer to join the Data & Analytics team in Hanover, NJ. You will design and implement scalable data pipelines, build data lakes and warehouses, and collaborate with stakeholders to define data requirements.

The role emphasizes performance, cost efficiency, and data quality in cross-functional projects. The ideal candidate will have strong SQL/Python skills, experience with ETL/ELT processes, and expertise in data governance and dimensional