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Staff Data Engineer   Company Description   Butterfly Network, Inc. (NYSE: BFLY) is driving a digital revolution in ultrasound imaging and sensing with its proprietary Ultrasound-on-Chip™ semiconductor technology and software solutions. Butterfly first proved its technology in the point-of-care ultrasound market – commercializing the world’s first single-probe, whole-body portable ultrasound device, which is now on its best-selling, third-generation: Butterfly iQ3™. The Company combines its advanced hardware with cloud software and AI, an enterprise workflow solution (Compass AI™) and other offerings to drive adoption of affordable, accessible ultrasound. Butterfly also enables third-party development of imaging AI apps through Butterfly Garden™, its software development kit and AI partnership initiative.  In addition to its medical imaging products, Butterfly Embedded™ is the Company’s Ultrasound-on-Chip™ licensing and co-development program designed to enable a new wave of ultrasound-enabled technologies across non-competitive healthcare markets and beyond. Through Butterfly Embedded™, partners can build and scale novel ultrasound applications powered by Butterfly’s proprietary semiconductor chip and software platform. Butterfly’s innovations have been recognized by Prix Galien USA, Fierce 50, TIME’s Best Inventions and Fast Company’s World Changing Ideas, among other achievements. We’re a team of bold thinkers, problem-solvers, and innovators ready to shape the future of medical imaging. Let’s build something extraordinary together!   Job Description Butterfly Network is seeking a Staff Data Engineer to build and own the data layers that power every dashboard, data product, and AI agent we build. This is not a ticket-executor role: we need someone who designs the solution first, then builds it. You’ll work on a small, high-ownership team directly under the Director of Data and AI Platforms, with broad scope and real accountability for the quality and reliability of data that the rest of the company depends on. The team is in the middle of a full migration from a GCP-based platform that supported BI to an AWS/Databricks platform supporting internal and external facing agents while continuing to support traditional BI. You’ll pick up active migration workstreams, take ownership of ingestion pipelines and dbt models, and help establish the engineering patterns that will carry the platform forward. The near-term work is concrete: GCP → AWS cutover, new source onboarding, development of models in medallion architecture, and reverse ETL flows back into operational systems.  Core Responsibilities   Own ingestion pipelines end-to-end. Design and implement reliable, observable pipelines from operational sources into the Bronze layer using CDC patterns, Autoloader/Lakeflow, and batch ingestion. Own the transformation layer. Build and maintain dbt models in a medallion architecture, set up testing and alerting, document data assets in Unity Catalog, and ensure sensitive data is tagged and access-controlled. Drive GCP to AWS/Databricks migration. Take ownership of active pipeline cutovers from Airflow, Cloud Run, Cloud Functions, and BigQuery to Databricks on AWS. Validate parity, coordinate with stakeholders, and decommission legacy components without disrupting business-critical reporting. Build and maintain reverse ETL and operational integrations. Sync curated data back into Salesforce, NetSuite, and other operational systems via Mulesoft. Architect before building. Write ADRs for non-trivial design decisions. Define patterns the team follows for ingestion, transformation, and data quality. Make deliberate build-vs-managed tradeoffs and document the reasoning. Translate business needs into data requirements. Partner with Sales, Finance, Marketing, Clinical, and Product teams to understand their data workflows and source system