Data Engineer: Build Scalable Health Data Pipelines

Verse Medical; New York (NY); Hybrid; USD 150,000 - 200,000; Full time

Benefits offered by this job

Competitive compensation

Opportunities for rapid career advancement

100% premium coverage for health insurance

401(k) with no matching

Job summary

Verse Medical is seeking a Data Engineer in New York to design and scale the data architecture to support critical products. This high-impact role involves creating robust data pipelines and ensuring data reliability and quality. The ideal candidate has over 4 years of experience in data engineering, strong SQL and Python skills, and familiarity with modern data stack tools. The position offers competitive compensation and a hybrid work model requiring in-office presence four times a week.

Qualifications

• 4+ years of experience in data engineering, analytical engineering, or data architecture.
• Strong SQL and Python skills.
• Deep experience with modern data stack tools.

Responsibilities

• Design, build, and manage robust data pipelines.
• Develop clean, well-structured data models.
• Improve data architecture and storage solutions.
• Ensure data accuracy and quality.
• Work across stakeholders to translate business problems into data solutions.
• Own the ongoing reliability of production data products.

Skills

SQL

Python

Data integration tools (e.g., Fivetran, Airbyte)

Data transformation frameworks (e.g., dbt)

Modern data warehouses (e.g., Snowflake, BigQuery, Redshift)

Data modeling

Data governance

Data privacy and observability best practices

Analytical skills

Problem-solving skills

Job description

Verse Medical is seeking a Data Engineer in New York to design and scale the data architecture to support critical products. This high-impact role involves creating robust data pipelines and ensuring data reliability and quality. The ideal candidate has over 4 years of experience in data engineering, strong SQL and Python skills, and familiarity with modern data stack tools. The position offers competitive compensation and a hybrid work model requiring in-office presence four times a week.