Data Engineer / Analytics Migration / BigQuery

Remote in Remote, MI, US • Posted 8 hours ago • Updated 8 hours ago
Contract W2
On-site
$40 - $60/hr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Marketing
  • Data Analysis
  • Recruiting
  • SAP BASIS
  • Analytical Skill
  • Performance Tuning
  • Migration
  • SAS
  • Machine Learning (ML)
  • Cloud Computing
  • Automated Testing
  • Analytics
  • Workflow
  • Google Cloud Platform
  • Google Cloud
  • Vertex
  • Artificial Intelligence
  • SAS/SQL
  • Python
  • Data Validation
  • Quality Assurance
  • Testing
  • Microsoft Excel
  • Reporting
  • Collaboration

Summary

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 Google Cloud Platform, 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 Google Cloud Platform 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

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Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10105282
  • Position Id: 882203
  • Posted 8 hours ago
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