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GCP Data Engineering

Axelon

Aliso Viejo, CA(remote)

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JOB DETAILS
SALARY
$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 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
3 days ago

Summary:

  • Work Mode: Remote

Responsibilities:

  • Design, build, and maintain scalable cloud-native data platforms, APIs, and ETL/ELT pipelines on Google Cloud Platform.
  • Support data, AI/GenAI, and platform engineering initiatives in a production environment.

Requirements:

  • Minimum 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:

  • 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.

About the Company

A

Axelon

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