Full Stack Software Engineer

Staff Data Engineer, Full StackPrimary Skills: Data Engineering (Expert), Python (Expert), Google Cloud Platform – BigQuery & Vertex AI (Advanced), Machine Learning & AI (Advanced), SQL (Expert)Contract Type: W2 OnlyDuration: 9+ MonthsLocation: Remote (Anywhere in the U.S.)Pay Range: $80 - $85 on W2Job Summary: We 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. This hybrid Data Engineering and Data Science role requires expertise in data pipelines, cloud-based analytics, machine learning, and generative AI to develop robust analytical datasets, deploy production-grade ML models, and enable customer analytics solutions across the enterprise.Key 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.Must-have 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.Nice-to-have Skills:Experience with Generative AI, LLMs, LangChain, LlamaIndex, or Hugging Face frameworks.Experience evaluating and optimizing AI agents and conversational AI systems.Knowledge of causal inference, time-series forecasting, and advanced statistical modeling.Experience implementing data security, governance, and role-based access controls.Background in Customer Analytics, Customer Success, Marketing Analytics, or Professional Services.Experience with streaming technologies and modern data orchestration frameworks.Preferred Qualifications: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.ABOUT AKRAYA Akraya is an award-winning IT staffing firm consistently recognized for our commitment to excellence and a thriving work environment.Most recently, we were recognized Stevie Employer of the Year 2025, SIA Best Staffing Firm to work for 2025, Inc 5000 Best Workspaces in US (2025 & 2024) and Glassdoor's Best Places to Work (2023 & 2022)! Industry Leaders in Tech Staffing As Talent solutions provider for Fortune 100 Organizations, Akraya's industry recognitions solidify our leadership position in the IT staffing space.We don't just connect you with great jobs, we connect you with a workplace that inspires! Join Akraya Today! Let us lead you to your dream career and experience the Akraya difference. Browse our open positions and join our team!