Forward Deployed Analytics Engineer

Translucent•New York, NY

3d•$150,000 - $200,000•Hybrid

About The Position

Translucent is building an agentic AI platform specifically for healthcare finance teams. This platform aims to provide AI Agents that understand specific data, business logic, and workflows, helping healthcare providers manage their finances more effectively. Founded in 2024 and backed by prominent investors, Translucent has already seen significant adoption, managing over $5 billion in combined revenue for healthcare organizations. The company operates at the intersection of AI and the complex healthcare industry.

Requirements

Deep healthcare data domain experience — prior work at a health system, healthcare-focused consulting, or health tech, with hands-on exposure to claims, EHR, or financial/revenue cycle data.
Comfort reverse-engineering messy or under-documented business logic directly from source systems.
Strong SQL — this is the primary tool of the role, and we expect real fluency, not familiarity. Bonus points for BigQuery SQL experience.
Experience working inside a modern data platform (Databricks, Snowflake, Fabric, BigQuery, or similar) as a hands-on user.
Experience with dbt-style transformation tooling (we use SQLMesh) including model contracts and layered/medallion architectures; comfort working in transformation-as-code workflows including testing and validation.
Solid data modeling and pipeline instincts: comfortable reasoning about schemas, normalization vs. denormalization, modeling complex domain entities and operating a data pipeline.
Comfortable operating in a git-native, PR-driven workflow with basic Python — version control, code review, and shipping changes through an established CI/CD pipeline.
3-5+ years of relevant industry experience.

Nice To Haves

Epic Cogito and Epic Clarity certifications or accreditations
Comfort working under strict PHI/data-governance constraints (e.g., synthetic-only test fixtures, no real patient data in code).
Healthcare interoperability standards experience (HL7, FHIR, X12 837/835).
Experience working directly with customers or stakeholders in a forward-deployed, integrations, or solutions engineering capacity.
Hands-on experience with GCP BigQuery SQL dialect

Responsibilities

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.
Work with our platform team to identify expansion opportunities for core infrastructure and shared services, based on patterns you see across customer engagements.
Partner with our insights and product engineering teams to understand and expand our data ontology as new customer needs and data sources emerge.