Senior Data Engineer – Healthcare ML Pipelines

Qventus, Inc; Oregon; Híbrido; USD 130.000 - 150.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Open Paid Time Off

Paid parental leave

Professional development

Wellness stipend

Technology stipend

Employee referral bonus

Employee stock options

Descripción de la vacante

Qventus, Inc. in the United States (Oregon) seeks a data engineering leader to build scalable data pipelines and data assets powering analytics and ML in healthcare.

You will help teams discover and integrate datasets, design data structures, and implement best practices in data engineering across the organization. The role requires collaboration with product, analytics, and engineering teams to deliver reliable, secure data foundations from applications to insights.

Formación

• Experience designing and operating data pipelines in production.
• Healthcare domain experience preferred.
• Ability to translate analytical vision into data solutions.

Responsabilidades

• Spearhead discovery, evaluation, and integration of new datasets with data modeling/documentation.
• Manage data assets lifecycle and partner with ingestion & data engineering teams.
• Translate product/analytical vision into functional data pipelines and data structures.
• Set standards for data engineering practices and architecture.

Conocimientos

Data pipeline design

SQL / data querying

Python

Data modeling

Cross-functional communication

Educación

Bachelor's degree in Computer Science or related field

Herramientas

Databricks

AWS

dbt

Looker/Tableau

Descripción del empleo

Qventus, Inc. in the United States (Oregon) seeks a data engineering leader to build scalable data pipelines and data assets powering analytics and ML in healthcare.

You will help teams discover and integrate datasets, design data structures, and implement best practices in data engineering across the organization. The role requires collaboration with product, analytics, and engineering teams to deliver reliable, secure data foundations from applications to insights.