Note: The job is a remote job and is open to candidates in USA. 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
Skills
- 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
Benefits
- Contract Type: W2 Only
- Duration: 9+ Months
- Work_model: [remote]
Company Overview