Senior Data Engineer - Cloud Pipelines & Modeling (Remote)

Experis-US; Arizona; Remote; USD 110,000 - 140,000; Full time

Benefits offered by this job

Medical and Prescription Drug Plans

Dental Plan

Vision Plan

Health Savings Account

Health Flexible Spending Account

Dependent Care Flexible Spending账户

Job summary

ManpowerGroup, the parent company of Experis, is seeking a Data Engineer to design and deliver scalable data solutions on cloud platforms. You will lead the technical execution from solution design through deployment, ensuring performance, security, and reliability for enterprise data assets.

The role emphasizes building resilient pipelines, data modeling, and collaboration with business stakeholders to translate requirements into practical data products that scale across analytics platforms.

Qualifications

• Seven years of experience designing and delivering enterprise data solutions.
• Bachelor's degree from an accredited college or university.
• Hands-on experience with Azure data stack (Databricks, Unity Catalog).
• Proficient at architecting data models and building complex pipelines with Python/Spark and SQL.
• Experience with Git, CI/CD, and analytics tools like Power BI.

Responsibilities

• Design, develop, and implement scalable data solutions across cloud platforms and lead execution from design to deployment.
• Build, optimize, and support resilient data pipelines for ingestion, transformation, and delivery of data assets.
• Develop and maintain logical and physical data models for reporting and analytics.
• Collaborate with stakeholders to translate requirements into technical designs and manage dependencies.
• Ensure alignment with architecture standards and governance while developing reusable data assets.

Skills

Python/Spark

SQL

Git

CI/CD

Azure

Power BI

Education

Bachelor's degree

Tools

Databricks

Unity Catalog

Power Platform

Job description

ManpowerGroup, the parent company of Experis, is seeking a Data Engineer to design and deliver scalable data solutions on cloud platforms. You will lead the technical execution from solution design through deployment, ensuring performance, security, and reliability for enterprise data assets.

The role emphasizes building resilient pipelines, data modeling, and collaboration with business stakeholders to translate requirements into practical data products that scale across analytics platforms.