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Verse

Data Engineer

Verse

Data Engineer building the data infrastructure at Verse Medical. Responsible for scalable data architecture to enhance healthcare solutions.

Posted 5/5/2026full-timeNew York City • New York • 🇺🇸 United StatesMid-LevelSenior💰 $150,000 - $200,000 per yearWebsite

Tech Stack

Tools & technologies
Amazon RedshiftBigQueryPythonSQL

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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.
  • 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).

Benefits

Comp & perks
  • 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.

ATS Keywords

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Hard Skills & Tools
SQLPythondata engineeringanalytical engineeringdata architecturedata modelingdata governancedata observabilitydata integrationdata transformation
Soft Skills
problem solvingcommunicationanalytical skillsinitiativeautonomy