Google Cloud Platform Data Engineer - Remote / Telecommute

• 6 years of industry experience in cloud engineering, data engineering, or platform engineering.
• Hands-on experience with Google Cloud Platform services (BigQuery, Composer/Airflow, Dataproc, Cloud Storage).
• Experience building and deploying backend APIs and cloud-native services.
• Solid expertise with containerization and orchestration (Docker, Kubernetes, GKE).
• Proficiency in Python for data processing, orchestration, or backend services.
• Strong SQL skills, particularly with BigQuery or similar cloud data warehouses.
• Experience with Vertex AI (pipelines, model deployment, batch/online inference, or GenAI integration).
• Experience building and operating data pipelines and ETL/ELT workflows in a production environment.
• Experience building and maintaining CI/CD pipelines (e.g., GitHub Actions, Jenkins), including automated testing and environment promotion.
• Understanding of infrastructure-as-code, cloud reliability, and production incident response.
• Strong communication skills, including the ability to explain technical concepts to non-technical stakeholders.
• Bachelor's degree in computer science, engineering, or related field.

Nice to Have:

• Practical MLOps experience, including model serving, monitoring, and retraining workflows.
• Experience with distributed data processing frameworks such as Apache Spark or Apache Beam (Dataproc, Dataflow).
• Experience with Cloud SQL/PostgreSQL and performance optimization for analytical serving patterns.
• Familiarity with healthcare or insurance data ecosystems, or other regulated environments.
• Experience improving platform reliability through observability, documentation, and operational playbooks.
• Experience optimizing cloud infrastructure for cost, performance, and resiliency.
• Experience building internal tools or product-facing analytics applications.
• Advanced degree in computer science, engineering, or related field.