Senior Data Engineer

Based in New York, NY with a hybrid work model, Verse Medical seeks a Senior Data Engineer to design and scale data architectures and pipelines that power product development and operations. The role collaborates with engineers, data scientists, and operations teams to ensure data is reliable, accessible, and actionable across the organization.

Responsibilities

• Design, build, and manage robust data pipelines that ingest, process, and integrate data from multiple sources.
• Develop clean, well-structured data models to 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.
• Collaborate with 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 (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.

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

• Transparency and direct communication, with honesty and clarity in information sharing.
• Speed of iteration, prioritizing rapid learning and delivering solutions to users.
• Focused effort aligned with the mission, balancing intensity with sustainable pacing.
• Empathy for customers, owning problems and pursuing practical, real-world improvements in 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

Verse Medical is committed to delivering equitable, hospital-quality care to everyone, regardless of background or location. We strive for a diverse team that reflects the patients we serve and a workplace where everyone feels a sense of belonging and can contribute fully. We embrace diversity of all kinds, including race, gender, age, religion, identity, and experience, and we are actively working to foster a more inclusive and equitable environment from within our organization. We are an equal opportunity employer and are committed to providing a positive and accessible interview experience. If you require accommodations to participate in our process, please contact [email protected].