[Remote] Senior Data Engineer

Note: The job is a remote job and is open to candidates in USA. Insight Global is currently hiring a Senior Data Engineer for a large healthcare client. This role involves designing, building, maintaining, and optimizing scalable data pipelines and solutions within Google Cloud Platform, ensuring reliability and performance of the data platform.

Responsibilities

• Support ongoing maintenance and improvement of a GCP-based data platform, ensuring reliability and performance
• Analyze, troubleshoot, and stabilize existing data jobs and pipelines, improving efficiency and scalability
• Lead lift-and-shift migrations from legacy cloud environments to modern GCP architecture
• Modernize and refactor legacy Python and SQL codebases, establishing standardized development practices
• Write and optimize complex SQL queries across platforms such as BigQuery and Snowflake
• Support and drive GitHub-based deployments and migrations, including CI/CD best practices
• Contribute to the buildout and evolution of new GCP architecture, including scalable frameworks and processes
• Collaborate with cross-functional teams to align on modernization strategies and cloud best practices
• Implement and promote cloud architecture standards and scalable operational procedures
• Operate as a standalone contributor, independently owning deliverables while remaining collaborative

Skills

• 6+ years of experience in Data Engineering or similar role
• Strong experience with Google Cloud Platform (GCP) and cloud architecture design
• Proven ability to scale cloud jobs and data pipelines
• Proficiency in Python and SQL for data engineering and ETL development
• Experience modernizing legacy systems and migrating to cloud-native architecture
• Hands-on experience with GitHub and version control best practices
• Needs to be able to work stand alone

Benefits

• This role can sit FULLY REMOTE

Company Overview

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