[Remote] Data Engineer (AI)

Note: The job is a remote job and is open to candidates in USA. OncoLens is a global, venture-backed healthcare company focused on improving cancer care through technology. They are seeking a Staff Data Engineer with a strong AI orientation to build and scale their data and AI platform, ensuring high-quality data systems and shipping reliable AI-driven features.

Responsibilities

• Build & Own Data Systems
• Design and maintain scalable data pipelines (batch and real-time)
• Ensure data quality, consistency, and reliability across systems
• Eliminate gray areas between upstream and downstream data
• Ship AI-Driven Features
• Partner with product and engineering to deliver AI-enabled functionality
• Deploy, monitor, and troubleshoot LLM-based and ML systems in production
• Focus on shipping reliable outputs, not just experimentation
• Operationalize & Validate
• Productionize models and workflows into robust, maintainable systems
• Build validation frameworks and sanity checks for output quality
• Improve observability, performance, and system reliability
• Work Through Ambiguity
• Translate loosely defined problems into clear technical solutions
• Make pragmatic tradeoffs and clearly communicate decisions
• Execute quickly while maintaining a high quality bar

Skills

• Strong experience in data engineering, including building and maintaining pipelines
• Experience with Spark or similar distributed systems
• Proficiency in Python, SQL, and modern data platforms
• Experience operationalizing data systems and/or models in production
• Exposure to AI/ML systems, including working with or integrating LLMs or modern AI tools
• Understanding of probabilistic systems and LLM fundamentals
• Using AI tools to accelerate development and problem solving
• Solid statistical intuition: Ability to reason about data quality, anomalies, and outputs
• Product-oriented: Focused on outcomes, not tasks
• Critical thinker: Naturally validates outputs and assumptions
• Pragmatic: Leverages existing tools vs. over-engineering
• Adaptable: Comfortable in a fast-moving AI environment
• Clear, proactive communicator with strong follow-through
• Able to explain how and why you approach problems
• Comfortable working cross-functionally with product, engineering, and data teams

Benefits

• Competitive salary + Bonus
• Equity participation
• 401k
• Medical / Dental / Vision
• Flexible work environment

Company Overview