Founding Data Engineer

About the role

The role is a founding member of Percepta's data team, spanning data engineering, data science, and machine learning engineering. You will build end-to-end pipelines and models that transform messy enterprise data into AI-ready assets, structure and normalize datasets, and develop tools and processes to make data work faster and more efficiently across multiple customers.

Responsibilities

• Build end-to-end pipelines and models that turn fragmented, messy enterprise data into high-leverage, AI-ready assets
• Structure and normalize noisy datasets — defining the data packs and ontology that our AI engineers build on top of
• Build the internal product and tooling that makes data work faster and repeatable across customers, so each engagement compounds rather than starts from zero
• Work directly with operators and product/AI engineers to turn high-value use cases into production data workflows
• Form strong technical opinions on data models, storage, orchestration, and infrastructure tradeoffs — and make the calls

Requirements

• Strong experience around some combination of Data Science, Data Engineering, Machine Learning
• A product instinct for the second half of the job — you want to build the thing that makes the work easier, not just do the work
• An intuition for what modern AI/ML and LLM systems actually need from data (features, retrieval, context, embeddings)
• A high level of ownership and strong communication — you're comfortable embedded directly with customer teams

Qualifications

• Experience building agentic or automated data-engineering tooling
• Hands-on experience with modern cloud data platforms (e.g., Databricks)
• Experience with health-system data (EHR, claims, and other operational healthcare datasets) or other complex, regulated enterprise data
• Prior startup, founding, or forward-deployed experience

Skills

• Strong technical skills in data science, engineering, and machine learning
• Experience with modern cloud data platforms
• Understanding of regulatory compliance in enterprise data environments
• Ability to communicate effectively with cross-functional teams

Benefits

• Flexible work schedule
• Competitive compensation package
• Opportunities for professional growth and development
• Collaborative and supportive work environment

Pay

Competitive salary commensurate with experience

Schedule

Full-time, remote position