Data Engineer

Verse Medical•New York, NY

5d•Hybrid

About The Position

Verse Medical is building the modern software infrastructure to make healthcare coordination more efficient. We are a well-funded Series C company aiming to heal a fragmented system by connecting providers, payors, and patients. We are growing rapidly and seeking driven individuals to join our mission. Our values emphasize transparency, speed of iteration, focused intensity, and deep customer empathy. We are hiring a Data Engineer to build the foundation of our data infrastructure, a high-impact role where you will design and scale the data architecture for critical product and operational systems. You will collaborate with engineers, data scientists, and operations teams to ensure data is reliable, accessible, and actionable. This role is ideal for someone who enjoys high ownership, solving complex problems, and significantly impacting a company's data strategy.

Requirements

4+ years of experience in data engineering, analytical engineering, or data architecture.
Strong SQL and Python skills, with experience building complex, high-performance queries.
Deep experience with modern data stack tools, including data integration tools (e.g., Fivetran, Airbyte), transformation frameworks (e.g., dbt), and modern data warehouses (e.g., Snowflake, BigQuery, Redshift).
Proven ability to design, build, and scale end-to-end data infrastructure, including pipelines, schemas, dimensional models, analytics layers, and ML-ready datasets.
Strong understanding of data modeling, governance, privacy, and observability best practices.
Excellent problem solving, communication and analytical skills, with the ability to translate technical concepts for non-technical audiences.

Nice To Haves

Experience leading full-stack data architecture and making strategic data platform decisions.
Experience with data platform migrations.
Familiarity with healthcare or other regulated data (HIPAA compliance).

Responsibilities

Design, build, and manage robust data pipelines that ingest, process, and integrate data from multiple sources.
Develop clean, well-structured data models that support business operations, executive reporting, and advanced analytics.
Improve data architecture and storage solutions to enhance performance, reduce costs, and optimize batch and real-time workflows.
Ensure data accuracy, quality, and compliance through governance, observability, and monitoring best practices.
Work across technical and non-technical stakeholders to translate business problems into scalable, actionable data solutions.
Own the ongoing reliability and evolution of production data products, driving projects from concept to execution.
Operate with initiative and autonomy in a fast-paced, mission-driven environment.