Hiring: Lead Data Engineer Company: American Society of Clinical Oncology (ASCO) Location: Alexandria, VA Job Posted Time: 2026-09-16 15:40:26 Employment Type: Hybrid Target Skills & Keywords : AI, AWS, Azure, BigQuery, CI/CD, Data Pipeline, Docker, GCP, LLM, MLOps, Microservices, Python, RAG, Vertex AI About the job Experience: •9+ years of hands-on experience architecting, building, and maintaining enterprise-grade batch and streaming data pipelines in modern cloud environments. •2+ years of hands-on experience building and deploying production-grade AI/ML solutions, including RAG architectures, vector databases, LLM integrations, and agentic workflows. •Proven expertise with cloud-native data architectures (GCP/BigQuery, AWS, or Azure), distributed computing, enterprise data modeling, and visualizing end-to-end integration flows. •Direct experience establishing MLOps/LLMOps pipelines, containerization (Docker), real-time evaluation frameworks, and automated CI/CD deployments. •Demonstrated ability to tune physical data models and compute workloads to increase system performance while controlling cloud operating costs (OpEx). Required Skills: •Architect & Deploy Scalable Data Pipelines/Products •: Design, build, and optimize production-grade batch and streaming data pipelines in a multi-cloud (GCP, AWS, Azure) ecosystem to unify enterprise data assets into a high-performance AI, analytics, and operational foundation. •Simple to Complex Data Pipelines •: Design, build, and optimize scalable batch and streaming data ingestion pipelines for both structured and unstructured data. •: Ensure all developed solutions meet high standards for security, quality, reliability, explainability, and maintainability. •Engineer Agentic AI & RAG Workflows •: Build and operationalize modern AI capabilities—including RAG, semantic search, vector databases, and autonomous multi-agent workflows, grounded in clean enterprise context. •Build CI/CD, containerization, and observability frameworks to streamline LLM service integrations for fast, reliable, and cost-effective application delivery. Qualifications: •Extended periods seated or standing at a desk. •High use of computer and other office technology equipment. •Bachelor’s degree in Computer Science, Data Engineering, Software Engineering, Applied Mathematics, or a related technical field (or equivalent practical experience). •Deep mastery of Python and modern data/software engineering practices. •Master’s degree in Computer Science, Data Science, or Artificial Intelligence. Compensation: •$164,000 - $200,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!