Primary Skills: Data Engineering (Expert), Python (Expert), Google Cloud Platform – BigQuery & Vertex AI (Advanced), Machine Learning & AI (Advanced), SQL (Expert)
Contract Type: W2 Only
Duration: 9+ Months
Location: Santa Clara, CA.Remote (Anywhere in the U.S.)
Pay Range: $80 - $85 on W2
Job 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.
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