Data Engineer (AI)

TechStarsGroup • Atlanta, GA

15h • Remote

About The Position

OncoLens is seeking a Staff Data Engineer with a strong AI orientation to help build and scale our data and AI platform. This is a hands-on role requiring ownership across the entire stack, from data pipelines to production AI systems. The ideal candidate will thrive in ambiguity, think like a product owner, and leverage AI as a force multiplier to deliver real, working solutions. This role is central to high-impact initiatives within a rapidly growing healthcare company focused on improving cancer care through technology and data.

OncoLens is the leading data and clinical decision support hub that supports the multi-disciplinary discussion of cancer cases by experts and care teams, clinical trials, and research and tracking for the highest potential quality or outcome for the patient. More than 10% of all cancer centers in the United States count on OncoLens to help improve outcomes through coordinated patient data, in-depth analysis, and actionable clinical decision support. OncoLens is a global, venture-backed healthcare company, serving some of the largest integrated delivery networks and national cancer institutes across the country. Joining our team offers hands-on knowledge of the technology powering OncoLens, as well as exposure to the day-to-day business and strategy decisions in a rapidly growing company.

Requirements

• 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.

Responsibilities

• Build 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.
• Partner with product and engineering to deliver AI-enabled functionality.
• Deploy, monitor, and troubleshoot LLM-based and ML systems in production.
• Productionize models and workflows into robust, maintainable systems.
• Build validation frameworks and sanity checks for output quality.
• Improve observability, performance, and system reliability.
• Translate loosely defined problems into clear technical solutions.
• Make pragmatic tradeoffs and clearly communicate decisions.
• Execute quickly while maintaining a high quality bar.

Benefits

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed