Senior Data Engineer — AI/ML Pipelines & MLOps

American Society of Clinical Oncology, Inc.; Alexandria (VA); Hybrid; USD 164,000 - 200,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

401(k) with employer contribution

Paid time off

Flexible work arrangement

Job summary

American Society of Clinical Oncology, Inc. (ASCO) is seeking a Lead Data Engineer to architect and implement scalable data pipelines and AI-enabled solutions in a multi-cloud environment.

You will contribute hands-on code, drive production-grade data platforms, and mentor the team while aligning data products with business needs. The role emphasizes building secure, reliable pipelines, implementing RAG/LLM workflows, and optimizing costs.

Qualifications

• 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.
• Deep mastery of Python and modern data/software engineering practices.
• Proven expertise with cloud-native data architectures (GCP/BigQuery, AWS, or Azure).
• Direct experience establishing MLOps/LLMOps pipelines, containerization (Docker), real-time evaluation frameworks, and automated CI/CD deployments.

Responsibilities

• Architect & Deploy Scalable Data Pipelines/Products in a multi-cloud ecosystem.
• Design, build, and optimize scalable batch and streaming data ingestion pipelines.
• Ensure security, quality, reliability, explainability, and maintainability of solutions.
• Build modern AI capabilities—including RAG, semantic search, vector databases, and autonomous workflows.
• Establish MLOps & LLMOps rigor with CI/CD and observability frameworks.
• Write production-grade Python code and microservices integrating data products into AI agents and business apps.

Skills

Python

Data pipelines

Cloud architectures

MLOps

CI/CD

Education

Bachelor's degree in Computer Science or related field

Master's degree (Preferred)

Tools

Docker

GCP

BigQuery

AWS

Azure

Job description

American Society of Clinical Oncology, Inc. (ASCO) is seeking a Lead Data Engineer to architect and implement scalable data pipelines and AI-enabled solutions in a multi-cloud environment.

You will contribute hands-on code, drive production-grade data platforms, and mentor the team while aligning data products with business needs. The role emphasizes building secure, reliable pipelines, implementing RAG/LLM workflows, and optimizing costs.