

Motion Recruitment
Data Engineer / Analytics Migration / BigQuery
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Engineer focused on Analytics Migration, contract length of 4+ months, remote work. Key skills include GCP, BigQuery, SAS, SQL, and Python. A BS/MS in Engineering or Analytics is required, along with strong collaboration skills.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
July 10, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Ann Arbor, MI
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #ML (Machine Learning) #SQL (Structured Query Language) #GCP (Google Cloud Platform) #Cloud #Data Engineering #Deployment #AI (Artificial Intelligence) #Automated Testing #Quality Assurance #Scala #Airflow #Strategy #BigQuery #SAS #Migration #Datasets #Python #Automation
Role description
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.
Contract Duration: 4+ Months
Required Skills & Experience
• 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
Daily Responsibilities
• 70% Hands On
• 30% Team Collaboration
Posted By: Destiny Kuczak
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.
Contract Duration: 4+ Months
Required Skills & Experience
• 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
Daily Responsibilities
• 70% Hands On
• 30% Team Collaboration
Posted By: Destiny Kuczak






