Full Stack Data Engineer : 26-02060

Akraya, Inc. is an award-winning IT staffing firm recognized for excellence in the workplace. They are seeking a Staff Data Engineer, Full Stack to design and build scalable data platforms while driving AI/ML initiatives that deliver actionable business insights.

Responsibilities:

• Design, develop, and maintain scalable data architectures and analytical datasets for reporting, business intelligence, and machine learning
• Build and optimize batch and real-time data pipelines using cloud-native technologies
• Develop, deploy, and monitor machine learning models for customer analytics, churn prediction, marketing attribution, and business optimization
• Design feature engineering pipelines and support end-to-end AI/ML model lifecycle from development through production
• Implement AI-powered solutions and optimize Generative AI/LLM-based applications and AI agents
• Partner with Product, GTM, Customer Success, Finance, and Engineering teams to translate business challenges into data-driven solutions
• Develop dashboards and visualizations using Tableau, Looker, or similar BI tools
• Perform code reviews, improve engineering best practices, and support scalable, secure cloud-based data platforms

Requirements:

• 8+ years of experience in Data Engineering, Data Science, or Analytics Engineering
• Expert-level programming skills in Python and advanced SQL
• Strong experience designing and maintaining scalable data pipelines for analytics and machine learning
• Experience implementing Big Data solutions for batch and real-time processing
• Hands-on experience with Google Cloud Platform (GCP), including BigQuery and Vertex AI
• Experience building optimized analytical datasets for reporting, feature engineering, and business intelligence
• Experience developing dashboards using Tableau, Looker, or similar visualization platforms
• Strong knowledge of cloud data architecture, ETL/ELT frameworks, and data modeling
• Excellent analytical, problem-solving, and stakeholder communication skills
• MS or PhD in Computer Science, Artificial Intelligence, Statistics, Data Science, or a related quantitative field
• Proven experience delivering end-to-end AI/ML solutions in cloud environments
• Experience working in Agile environments with modern software engineering and DevOps practices
• Strong ability to lead technical initiatives, work independently, and drive projects from concept through production deployment