What are the responsibilities and job description for the Data Engineer (GCP & AI) Only on W2 position at Miracle Software Systems, Inc?
🚀 We’re Hiring: Data Engineer (GCP & AI)
📍 Location: Michigan, USA (Hybrid – 4 days onsite)
🎓 Education: Bachelor’s or Master’s Degree
💼 Experience: 7 Years
💼 Employment Type: W2 / Full-Time (No C2C)
About the Role
We at Miracle Software Systems are looking for a high-caliber professional with strong expertise in AI, Data Engineering, and GCP to build scalable, AI-ready applications and cloud-native data platforms.
This role focuses on transforming complex system-level data into production-ready AI data products using Google Cloud technologies. You will bridge the gap across full-stack development, data orchestration, AI integration, and cloud automation.
Key Responsibilities
Application Orchestration: Build and maintain full-stack orchestration layers and scalable API layers.
Pipeline Engineering: Develop high-throughput real-time and batch data pipelines using Dataflow and Pub/Sub.
DevOps & Automation: Implement automated CI/CD pipelines using GitHub Actions and manage infrastructure as code with Terraform.
Advanced AI Implementation: Work directly with Vertex AI to design and deploy Generative AI and autonomous Agentic AI solutions.
Data Management: Manage robust data governance frameworks, metadata layers, and semantic models.
Enterprise Integration: Seamlessly integrate enterprise applications with third-party platforms and backend ecosystems.
Skills Required
✔ Core: Python & SQL
✔ Development: Full Stack Development & API/Application Integration
✔ GCP Ecosystem: Cloud Run, Cloud Functions, Composer, Dataflow, Pub/Sub, Vertex AI
✔ CI/CD & IaC: GitHub Actions & Terraform
✔ Architecture: Data Modeling & Data Governance
Skills Preferred
✔ Agentic AI / Generative AI engineering
✔ Metadata & Data Quality Frameworks
✔ Semantic Layer Modeling
✔ Enterprise Data Platform Integration
Experience Required
7 years of professional experience in Full Stack Development, Data Engineering, or Cloud Architecture.
Deep technical expertise in the Google Cloud Platform (GCP) suite.
Proven track record of building scalable, cloud-native applications and robust CI/CD workflows.
📩 Interested candidates can share updated resumes to:
📧 gpolimera@miraclesoft.com
📞 248-412-7442