Forward Deployed Analytics Engineer

Why Translucent

Healthcare providers drive $2.5 trillion in medical expenditures annually — and operate on razor-thin 2–5% margins. Despite these stakes, the finance teams behind these organizations are buried in spreadsheets, manual data pulls, and disconnected systems, spending more time finding and cleaning data than actually using it to make decisions.

Translucent is changing that. We're building the agentic AI platform designed exclusively for healthcare finance — giving every finance team, department, service line their own arsenal of AI Agents that run 24/7, understand their specific data, business logic, and workflows.

Founded in 2024 and backed by GV, NEA, FPV, and Virtue, we've already been deployed by healthcare organizations managing over $5 billion in combined revenue. The product-market fit is real, the problem is massive, and we're just getting started. If you want to work at the intersection of AI and one of the most complex, consequential industries in the world — this is the place.

About the role

We're hiring a Forward Deployed Analytics Engineer to join our team in New York. You will sit at the intersection of our customers' financial and clinical data and the agentic AI systems we are building on top of it. Working within our managed data pipeline, you will reverse-engineer customer-specific business rules, build the transformations that map raw customer data into our unified ontology and semantic layer, and hold the bar for correctness on everything that flows through it.

This is a high-ownership role. You will work directly with customers to understand their source-of-truth financial and clinical models, then translate that understanding into durable, well-tested data transformations.

What you'll do

• Understand customer requirements, current processes, workflows and business logic.
• Identify the data required to stand up a customer workspace, and review customer source-of-truth financial and clinical data models — potentially on-site with customers to capture business logic firsthand.
• Reverse-engineer and codify customer-specific business rules, from payer contract logic to chart-of-accounts idiosyncrasies.
• Build and validate transformations that map customer data into Translucent's unified ontology and semantic layer, using SQL within our managed data pipeline.
• Own testing and validation rigor for every transformation you ship — you are the last line of defense on data correctness.
• Partner with our data platforming team when transformation needs surface pipeline or platform constraints, without owning that infrastructure yourself.
• Interact directly with customers to confirm data access and validate your understanding of their source systems and business logic.