Data Engineer / Analytics Migration / BigQuery

Kelly Services Inc.
Boon Township, United States of America
6 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
$ 125K

Job location

Boon Township, United States of America

Tech stack

Microsoft Excel
Artificial Intelligence
Airflow
Data analysis
Google BigQuery
Data Validation
Python
SAS (Software)
SQL Databases
Google Cloud Platform
Deployment Automation

Requirements

  • BS or MS in Engineering or Analytics field

  • Hands-on GCP experience

  • Strong experience with BigQuery

  • Experience with SAS, SQL and Python in analytics environments

  • Strong collaboration skills across technical and business teams

Desired Skills & Experience

  • Experience migrating SAS and Excel environments to cloud platforms

  • Exposure to Vertex AI or other ML deployment tools

  • Familiarity with Airflow or Cloud Composer

  • Experience with automated testing frameworks for analytics

  • Background optimizing queries and workflows for performance at scale

What You Will Be Doing

Tech Breakdown

  • 40% Google Cloud Platform (BigQuery, Composer, Vertex AI)

  • 30% SAS / SQL /Python

  • 20% Data validation, QA and testing

  • 10% Excel automation and reporting

About the company

Kelly Services (MI) $40 - $60 A remote marketing and data analytics firm is hiring an Analytics Migration Engineer to support a large-scale cloud transformation initiative on a contract-to-hire basis. This role focuses on migrating legacy analytical environments into GCP, with a strong emphasis on BigQuery, data validation, and modern analytics tooling. The position blends hands-on engineering with analytics quality assurance in a highly collaborative environment. This opportunity is ideal for someone who enjoys solving complex data challenges while working at the intersection of analytics, engineering, and cloud modernization. The team is leading a high-impact initiative to future-proof analytics infrastructure, offering exposure to cutting-edge cloud tools, and large-scale datasets. Candidates will gain valuable experience in cloud migration strategy, performance optimization, and building scalable, production-ready data workflows.

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