Senior Data Engineer

Verse Medical is seeking a Senior Data Engineer to design and scale data architecture and pipelines that power product development and operations. This role collaborates with engineers, data scientists, and operations to keep data reliable, accessible, and actionable. It is based in New York, NY with a hybrid work arrangement, and the compensation range is USD 150,000 - 200,000 per year.

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.

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.

Technologies

• SQL, Python, Fivetran, Airbyte, dbt, Snowflake, BigQuery, Redshift

Benefits

• Competitive compensation.
• Opportunities for rapid career advancement in a growing company.
• 100% premium coverage for health insurance.
• 401(k) with no matching at this time.

Our Values

• We are transparent, upfront and direct. We operate with honesty and clarity. We share information openly, the good and the bad, and believe that direct, respectful feedback is the foundation of trust and progress.
• We value speed of iteration. We are building something new, which means we learn by doing. We prioritize rapid iteration and getting solutions into the hands of users, believing that progress is more valuable than perfection.
• We give 110 percent effort, 30 percent of the time. We are passionate about our mission, and there are moments that require us to go the extra mile. We believe in focused intensity when it counts, balanced by a sustainable pace that keeps our team energized for the long run.
• We empathize with customers to a fault. When our users face a problem, we own it. Instead of asking them to change, we ask ourselves, How can we make this better? We believe true innovation comes from deep empathy and a relentless focus on solving the real world challenges of healthcare.

Core Skills & Experience

• 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 (Fivetran, Airbyte), transformation frameworks (dbt), and modern data warehouses (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.
• Preferred: Experience leading full-stack data architecture and making strategic data platform decisions.
• Preferred: Experience with data platform migrations.
• Preferred: Familiarity with healthcare or other regulated data (HIPAA compliance).

Our Pledge for an Equitable Future

• At Verse Medical, our mission is to deliver equitable, hospital-quality care to everyone, regardless of their background or where they live.
• We can only achieve this if our own team reflects the diversity of the patients we serve.
• We are committed to building a workplace where everyone feels a sense of belonging, where their contributions are valued, and where they can do their best work.
• We embrace diversity of all kinds: race, gender, age, religion, identity, experience.
• We are actively working to build a more inclusive and equitable world, starting from within our own walls.
• We are an equal opportunity employer.
• We are also committed to providing a positive and accessible interview experience.
• If you require any accommodations to participate in our process, please contact us at [email protected].