Data Engineer — Scalable Pipelines (Onsite Jersey City)

ManpowerGroup Global, Inc.; Jersey City (NJ); Hybrid; USD 110,000 - 140,000; Full time

Benefits offered by this job

Medical plans

Dental plan

Vision plan

HSA

Job summary

ManpowerGroup is seeking a Data Engineer to join a data-driven team in Jersey City, NJ. The role focuses on building and optimizing data ingestion, transformation, and storage pipelines to support accessible and reliable data assets.

The candidate will work with Python and SQL, leverage Azure Data Factory, and collaborate with cloud data tools to deliver scalable solutions that align with organizational goals and data governance standards.

Qualifications

• Proficiency in Python and SQL for data manipulation and pipeline development.
• Experience with cloud data tools, specifically Azure Data Factory.
• Strong understanding of data architecture and storage solutions.
• Ability to develop and optimize scalable data pipelines.
• Excellent communication and teamwork skills to work effectively with diverse teams.

Responsibilities

• Build scalable ingestion, transformation, and storage pipelines across DataBricks Medallion Layers, Azure Data Factory, SQL Server, and staging/data layers
• Support Metrics Repository and onboarding of new datasets to ensure data accessibility and integrity
• Develop ETL pipelines to facilitate efficient data processing and analysis
• Ensure high data quality standards and optimize data storage solutions for performance
• Collaborate with cross-functional teams to implement data solutions aligned with organizational goals

Skills

Python

SQL

Data pipelines

Communication

Teamwork

Tools

Azure Data Factory

Databricks

SQL Server

Job description

ManpowerGroup is seeking a Data Engineer to join a data-driven team in Jersey City, NJ. The role focuses on building and optimizing data ingestion, transformation, and storage pipelines to support accessible and reliable data assets.

The candidate will work with Python and SQL, leverage Azure Data Factory, and collaborate with cloud data tools to deliver scalable solutions that align with organizational goals and data governance standards.