FORWARD DEPLOYED ANALYTICS ENGINEER
Data · Posted 10 days ago
Translucent builds the agentic AI platform for healthcare finance. This role sits between a customer's financial and clinical data and the AI systems running on top of it. You will reverse-engineer customer-specific business rules, from payer contract logic to chart-of-accounts idiosyncrasies, and build the transformat...
- Way of working
- On site
- Location
- new_york
- Pay range
- $150,000 to $200,000
- Level
- Senior
- Experience
- 5+ years
- Type
- Full time
- Visa sponsorship
- Not offered for this role
- The company
- Hospitals and Health Care · 20 to 50 people
Skills that matter here
What you would be doing
- Review customer data models. Sit with finance and clinical teams, sometimes on site, to capture their source-of-truth logic firsthand.
- Codify business rules. Turn under-documented payer contract and chart-of-accounts logic into durable, tested transformations.
- Build in SQL. Map customer data into the unified ontology and semantic layer inside the managed pipeline.
- Own correctness. You hold the testing and validation bar on everything you ship.
- Expand the ontology. Work with insights and product engineering as new customer needs and data sources come in.
The full description
Translucent builds the agentic AI platform for healthcare finance. This role sits between a customer's financial and clinical data and the AI systems running on top of it. You will reverse-engineer customer-specific business rules, from payer contract logic to chart-of-accounts idiosyncrasies, and build the transformations that map raw customer data into Translucent's unified ontology and semantic layer. Analytics engineering is the source of truth the whole platform runs on. Without it being right, there is no AI and no trust.
You will feel at home here if you know healthcare data well enough to spot when a number is wrong before anyone else does.
What You'll Do
- Review customer data models. Sit with finance and clinical teams, sometimes on site, to capture their source-of-truth logic firsthand.
- Codify business rules. Turn under-documented payer contract and chart-of-accounts logic into durable, tested transformations.
- Build in SQL. Map customer data into the unified ontology and semantic layer inside the managed pipeline.
- Own correctness. You hold the testing and validation bar on everything you ship.
- Expand the ontology. Work with insights and product engineering as new customer needs and data sources come in.
Interested in this one?
There is no apply button here on purpose. Tell us about yourself, we book a short call, and if this role fits we walk you through the company and ask before anything is sent. Always free for you.
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