Senior Data Engineer / Databricks / Remote

About the role

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.

Responsibilities

• 60% GCP / BigQuery
• 20% Data validation & testing
• 20% Excel automation & reporting
• Daily Responsibilities: 80% Hands On 20% Team Collaboration

Requirements

• 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

Qualifications

• 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

Skills

• Google Cloud Platform
• BigQuery
• SQL, Python, or SAS
• Excel automation (VBA, macros, advanced formulas)
• Data validation and testing
• ETL processes and data pipelines
• SAS migrations into cloud environments
• Orchestration tools like Airflow or Cloud Composer
• Validation or deployment of machine learning models
• Supporting enterprise-scale analytics environments
• Documentation and process improvement

Benefits

• Medical insurance
• Dental insurance
• Vision insurance

Pay

Competitive hourly rate

Schedule

Remote, 4-month contract engagement (ASAP start through mid-November)