Senior GCP Data Engineer with US Healthcare

We are looking for a highly experienced Senior GCP Data Engineer with US Healthcare to design, build, and scale modern data platforms on Google Cloud. The ideal candidate will bring 5 to 10 years of experience, strong data engineering expertise, and proven leadership capabilities, along with a mandatory background in the US Healthcare Payer domain.

Key Responsibilities

• Lead the architecture, design, and development of scalable data platforms on GCP
• Provide technical leadership, mentoring, and guidance to data engineering teams
• Build, optimize, and maintain ETL/ELT pipelines for healthcare data processing
• Design and manage data models for analytics, reporting, and regulatory compliance
• Process and integrate large-scale US healthcare datasets across multiple systems
• Ensure high-quality data integration, transformation, and validation aligned with healthcare standards
• Implement data quality frameworks, audit mechanisms, and validation pipelines
• Drive adoption of AI-powered coding tools to improve development productivity and code quality
• Collaborate with business, compliance, and healthcare stakeholders to deliver data-driven solutions
• Optimize BigQuery performance and manage cloud costs efficiently
• Establish CI/CD pipelines, DataOps practices, and monitoring frameworks
• Lead migration and modernization initiatives from legacy systems (e.g.,Teradata) to GCP
• Ensure adherence to data security, governance, and HIPAA compliance requirements
• Maintain comprehensive documentation for pipelines, architectures, and workflows

Required Skills (5+ Years of experience)

Data Engineering & GCP

• Strong expertise in ETL/ELT development, advanced SQL, Python, and data warehousing concepts
• Hands-on experience with BigQuery, Cloud Storage, Dataflow, Pub/Sub, and Cloud Composer

Healthcare Domain (Mandatory)

• Solid experience working with US Healthcare data (claims, member, provider, clinical, or enrollment data)
• Understanding of regulatory and compliance standards including HIPAA

AI & Modern Engineering

• Practical experience using AI-assisted development tools (Gemini, ChatGPT, Copilot, Claude, Cursor, etc.)
• Ability to leverage AI for code generation, automation, optimization, and troubleshooting

DevOps & DataOps

• Experience with CI/CD pipelines (Git, Jenkins, GitHub Actions)
• Monitoring and observability using Cloud Logging and Cloud Monitoring
• Strong understanding of security practices including IAM and data governance