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GCP Data Engineering

Axelon

Aliso Viejo, CA

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JOB DETAILS
SALARY
$1–$45 Per Hour
SKILLS
Apache Spark, Application Programming Interface (API), Artificial Intelligence (AI), Cloud Computing, Cloud Storage, Communication Skills, Computer Science, Continuous Deployment/Delivery, Continuous Integration, Data Management, Data Processing, Data Science, Data Warehousing, Database Extract Transform and Load (ETL), Docker, Documentation, GCP (Good Clinical Practices), GitHub, Health Insurance, Incident Response, Jenkins, Performance Analysis, Performance Tuning/Optimization, PostgreSQL, Problem Solving Skills, Production Systems, Python Programming/Scripting Language, Reliability Engineering, SQL (Structured Query Language), Scalable System Development, Software Engineering, Test Automation
LOCATION
Aliso Viejo, CA
POSTED
1 day ago
Title: GCP Data Engineer (Remote)

Job Description:

Seeking an experienced GCP Data Engineer to design, build, and maintain scalable cloud-native data platforms, APIs, and ETL/ELT pipelines on Google Cloud Platform. The role requires expertise in GCP services, Python, SQL, Kubernetes, Vertex AI, and CI/CD practices to support data, AI/GenAI, and platform engineering initiatives in a production environment.

Required Skills & Experience

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

Preferred Skills & Experience

  • Practical MLOps experience, including model serving, monitoring, and retraining workflows.
  • Experience with Apache Spark, Apache Beam, Dataproc, or Dataflow.
  • Experience with Cloud SQL/PostgreSQL and performance optimization for analytical serving patterns.
  • Familiarity with healthcare, insurance, or other regulated data 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 a related field.
Must Have skills:
  • Data Science
  • Google cloud platform
  • Composer
  • Big query
  • Cloud engineering
  • Data engineering
  • Platform engineering

About the Company

A

Axelon