Cynet Systems
Cynet Systems

Google Cloud Platform Data Engineer - Remote / Telecommute

San Jose, CA, US • Posted 8 hours ago • Updated 8 hours ago
Contract Corp To Corp
Contract W2
12 Months
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • GCP Data Engineer

Summary

We are looking for Google Cloud Platform Data Engineer - Remote / Telecommute for our client in San Jose, CA

Job Title: Google Cloud Platform Data Engineer - Remote / Telecommute

Job Location: San Jose, CA

Job Type: Contract

Job Overview:

Pay Range: $50/hr - $55/hr

  • We are seeking a Google Cloud Platform Data Engineer with extensive experience in cloud engineering, data engineering, or platform engineering.

Requirement/Must Have:

  • 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10516350
  • Position Id: CA_GDER_0602
  • Posted 8 hours ago
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