3 months ago

Senior Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Design, build, and scale robust data infrastructure to power product and operational systems in a healthcare-focused company. You’ll own data pipelines, models, and governance, collaborating with engineers, data scientists, and operations to deliver reliable, actionable data across the organization in a hybrid, New York-based role.

Location: New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key 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.

Pay and Benefits

Salary: USD 150,000 - 200,000 annually

Perks:Health Insurance401k

Key Requirements

•4+ years of experience in data engineering, analytical engineering, or data architecture.
•Strong SQL and Python skills, with experience building high-performance queries.
•Deep experience with modern data stack tools (Fivetran, Airbyte), transformation frameworks (dbt), and 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.

Experience:4+ yearsHealthcare

Skills:CommunicationProblem-solvingAnalytical

Tech Stack:SQLPythonFivetranAirbyteDbtSnowflakeBigQueryRedshift

Company Brief

Verse Medical

Develops medical devices and related technologies aimed at improving clinical procedures and patient outcomes. Focuses on designing, prototyping, and bringing healthcare hardware solutions to market for use in hospitals and clinical settings.

Industry: Medical Devices

Website

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Verse Medical

3 months ago

Senior Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Location: New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key 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.

Pay and Benefits

Salary: USD 150,000 - 200,000 annually

Perks:Health Insurance401k

Key Requirements

•4+ years of experience in data engineering, analytical engineering, or data architecture.
•Strong SQL and Python skills, with experience building high-performance queries.
•Deep experience with modern data stack tools (Fivetran, Airbyte), transformation frameworks (dbt), and 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.

Experience:4+ yearsHealthcare

Skills:CommunicationProblem-solvingAnalytical

Tech Stack:SQLPythonFivetranAirbyteDbtSnowflakeBigQueryRedshift

Company Brief

Verse Medical

Industry: Medical Devices

Website