Google Cloud Platform Data Engineer

Role — Google Cloud Platform Data Engineer Location: Remote Duration: 12 months Engagement: SAS to Google Cloud migration for a US healthcare client Duration: 12 months Role summary: You will rebuild an established on-premise analytics estate on BigQuery — converting existing batch processing logic into SQL, building the ingestion and transformation pipelines, and proving the new outputs match the old ones exactly. The work is layered: raw data lands as it arrived, is conformed and deduplicated…

Our engineering team is dedicated to building robust, scalable solutions that solve real-world problems. You will work alongside senior developers to architect and deploy high-quality code. We emphasize continuous learning, peer code reviews, and staying ahead of the curve with emerging technologies.

Requirements

• Proficiency in at least one modern programming language (Python, JS, Java, etc.).
• Understanding of software development life cycles and version control (Git).
• Strong problem-solving skills and attention to technical detail.
• Familiarity with cloud platforms (AWS, Azure, or Google Cloud) is a plus.
• Ability to work in an agile, fast-paced environment.
• Degree in Computer Science or equivalent practical experience.