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NEXTMOVEFDE careers · United States

Analytics Engineer

Job description

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Internal deployment & tooling · Evidence for this classification:

About Bridge Bridge is the fastest, most compliant way to scale insurance billing nationwide. We enable virtual care companies to go in-network nationally in as little as 30 days, without the operational lift. Our platform handles payer contracting, credentialing, real-time benefit verification, medical coding, claim submission, denial management, and compliance in a single integrated solution. Backed by leading investors including General Catalyst, Andreessen Horowitz, Thrive Capital, Khosla Ventures, Greenoaks, and Mischief, we're scaling rapidly. The Role We're hiring Bridge's first dedicated data hire. You’ll be the go-to person for data across the entire company, building the data function Bridge runs on and helping every team use data more effectively. You’ll own the trusted data layer that powers decisions across Bridge, from reliable pipelines and models to self-service
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About Bridge Bridge is the fastest, most compliant way to scale insurance billing nationwide. We enable virtual care companies to go in-network nationally in as little as 30 days, without the operational lift. Our platform handles payer contracting, credentialing, real-time benefit verification, medical coding, claim submission, denial management, and compliance in a single integrated solution. Backed by leading investors including General Catalyst, Andreessen Horowitz, Thrive Capital, Khosla Ventures, Greenoaks, and Mischief, we're scaling rapidly. The Role We're hiring Bridge's first dedicated data hire. You’ll be the go-to person for data across the entire company, building the data function Bridge runs on and helping every team use data more effectively. You’ll own the trusted data layer that powers decisions across Bridge, from reliable pipelines and models to self-service analytics, AI-powered tools, and durable data products. You’ll also lead investigations into ambiguous business questions, determine what the data actually says, and help us identify what additional data we need. This is a hands-on role for someone who thrives in ambiguity, brings strong engineering discipline to data work, and wants to shape how an entire company operates, not just how it reports on performance. Responsibilities Turn ambiguity into action. Lead high-priority investigations, uncov [... source excerpt omitted ...] epancies before they become decisions, trace problems to their source, and build the monitoring and safeguards that prevent them from returning. Own our data pipelines. Take full responsibility for the ETL and orchestration that power Bridge’s data. Requirements 3–6 years in analytics engineering, data engineering, or a highly technical analytics role, with meaningful experience in both data modeling and analysis Advanced SQL and hands-on experience building production models with dbt or a similar framework You’re AI-native: you use AI agents and tools throughout how you code, analyze, investigate, and communicate, while knowing how to validate their output Experience structurin [... source excerpt omitted ...] 3 years. The more companies that can do that, the more patients get access to affordable care. Small team, real scope. At around 50 people, your work is visible company-wide, and you'll be trusted to run with it from day one. Competitive salary, benefits, and equity. Given Bridge's funding and stage, we heavily value the potential upside from equity. Compensation The base pay range for this role is $168,000 – $188,000 per year.

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