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Senior Data Engineer / Databricks / Remote
Motion Recruitment Partners, LLCUnited States🇺🇸United StatesPosted 9 Jul 2026
Quick Overview
Work Type
Remote
Level
Mid Senior
Job Description
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
Tech Breakdown
Daily Responsibilities
The Offer
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
#LI-CD1
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
- 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
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
- 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
Skills
SQL
ETL
Machine Learning
Airflow
BigQuery
Google Cloud
Python
VBA
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