Senior Data Engineer / Databricks / Remote

Remote in Remote, MI, US • Posted 6 hours ago • Updated 6 hours ago
Contract W2
On-site
$40 - $70/hr
Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Job Details

Skills

  • Databricks
  • Analytical Skill
  • SQL
  • Python
  • VBA
  • Extract
  • Transform
  • Load
  • SAS
  • Migration
  • Orchestration
  • Cloud Computing
  • Machine Learning (ML)
  • Analytics
  • Documentation
  • Process Improvement
  • Google Cloud
  • Google Cloud Platform
  • Data Validation
  • Testing
  • Microsoft Excel
  • Reporting
  • Collaboration
  • Insurance
  • SAP BASIS
  • Continuous Delivery

Summary

A rapidly growing analytics consulting firm is seeking an Analytics Migration Engineer for a remote, 4-month contract engagement (ASAP start through mid-November). This role focuses on migrating legacy analytical environments into Google Cloud Platform, with a heavy emphasis on BigQuery, while supporting modern data pipelines, reporting, and automation initiatives.

This opportunity is ideal for someone who thrives in fast-paced, high-impact projects. The team is tackling a major cloud transformation, and this role sits at the center of ensuring business-critical analytics continue running smoothly during migration. Candidates will gain exposure to large-scale data ecosystems, modern cloud tooling, and advanced automation techniques while working alongside experienced data engineers and analytics professionals.

Required Skills & Experience
  • Strong experience with Google Cloud Platform, especially BigQuery
  • Experience migrating legacy analytics environments (on-prem, cloud)
  • Proficiency in SQL, Python, and/or SAS
  • Hands-on experience with Excel automation (VBA, macros, or advanced formulas)
  • Experience validating data outputs and ensuring data accuracy
  • Strong understanding of ETL processes and data pipelines
Desired Skills & Experience
  • Experience with SAS migrations into cloud environments
  • Familiarity with orchestration tools like Airflow or Cloud Composer
  • Experience validating or deploying machine learning models
  • Background supporting enterprise-scale analytics environments
  • Strong documentation and process improvement mindset
What You Will Be Doing
Tech Breakdown
  • 60% Google Cloud Platform / BigQuery
  • 20% Data validation & testing
  • 20% Excel automation & reporting

Daily Responsibilities
  • 80% Hands On
  • 20% Team Collaboration

The Offer
  • Competitive Hourly Rate
You will receive the following benefits:
  • Medical, Dental, and Vision Insurance

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

#LI-CD1
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: 882156
  • Posted 6 hours ago
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