AI-Driven Full-Stack Data Engineer for Cloud & ML

Akraya, Inc.; Santa Clara (CA); Hybrid; USD 180,000 - 230,000; Full time

Job summary

Akraya, Inc. in Santa Clara, CA is seeking a Staff Data Engineer, Full Stack, to design and build scalable data platforms while driving AI/ML initiatives that deliver actionable business insights.

This hybrid role blends data engineering and data science to deploy production ML models and enable customer analytics across the enterprise. You will design data architectures, build batch and real-time pipelines on GCP (BigQuery, Vertex AI), develop feature pipelines, and create dashboards with

Qualifications

• 8+ years of experience in Data Engineering, Data Science, or Analytics Engineering.
• Expert-level programming skills in Python and advanced SQL.
• Experience with GCP (BigQuery, Vertex AI) and cloud data architectures.
• Experience building scalable data pipelines for analytics and ML.

Responsibilities

• Design, develop, and maintain scalable data architectures and analytical datasets for reporting, BI, and ML.
• Build and optimize batch and real-time data pipelines using cloud-native technologies.
• Develop, deploy, and monitor ML models for customer analytics and business optimization.
• Design feature engineering pipelines and support end-to-end AI/ML lifecycle from development through production.
• Implement AI-powered solutions and optimize Generative AI/LLM-based applications.
• Collaborate with product, GTM, CS, Finance, and Engineering to translate business challenges into data-driven solutions.
• Develop dashboards and visualizations using Tableau, Looker, or similar BI tools.
• Perform code reviews and improve engineering practices for scalable cloud data platforms.

Skills

Python

SQL

Data pipelines

Cloud platforms

BigQuery

Vertex AI

BI dashboards

Python advanced

Education

MS/PhD in CS/AI/Data Science

Tools

Tableau

Looker

Job description

Akraya, Inc. in Santa Clara, CA is seeking a Staff Data Engineer, Full Stack, to design and build scalable data platforms while driving AI/ML initiatives that deliver actionable business insights.

This hybrid role blends data engineering and data science to deploy production ML models and enable customer analytics across the enterprise. You will design data architectures, build batch and real-time pipelines on GCP (BigQuery, Vertex AI), develop feature pipelines, and create dashboards with