Senior Data Engineer

Qventus, Inc

Senior Data Engineer pioneering new data solutions at Qventus. Leading design, development, and management of data assets and pipelines for healthcare transformation.

Posted 6/29/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $145,000 - $180,000 per yearWebsite

Tech Stack

Tools & technologies

AWSCloudTableau

About the role

Key responsibilities & impact

Spearhead the discovery, evaluation, and integration of new datasets, collaborating (incl. pipeline development and data modeling/documentation) working closely with key data stakeholders to understand their impact and relevance to our core products and the healthcare domain
Facilitate the technical management of data assets - clearly tracking and maintaining context on the data within the dataset lifecycle and sustaining tight partnerships with immediate partners on ingestion & solution data engineering
Translate product / analytical vision into highly functional data pipelines supporting high quality & highly trusted data products (incl. designing data structures, building and scheduling data transformation pipelines, improving transparency etc.)
Set the standard for data engineering practices within the company, guiding the architectural approaches, data pipeline designs, and the integration of cutting-edge technologies to foster a culture of innovation and continuous improvement

Requirements

What you’ll need

5+ years of experience designing, building, and operating cloud-based, highly available, observable, and scalable data platforms
Relevant industry certifications in a variety of Data Architecture services (Databricks Certified Data Engineer Professional, AWS Certified Data Engineer or Solutions Architect Professional, SnowPro® Advanced Architect/Data Engineer, Microsoft Fabric Data Engineer, and dbt Analytics Engineering)
Experience with MLOps and/or developing and maintaining machine learning models and infrastructure
Experience with data visualization tools and analytics technologies (Sigma, Looker, Tableau, etc.)
Degree in Computer Science, Engineering, or related field

Benefits

Comp & perks

Open Paid Time Off
Paid parental leave
Professional development
Wellness and technology stipends
Generous employee referral bonus
Employee stock option awards

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Data ModelingData TransformationData Engineering PracticesMachine Learning Model DevelopmentData Asset Management

Soft Skills

CollaborationCommunicationProblem-Solving

Certifications

Databricks Certified Data Engineer ProfessionalAWS Certified Data EngineerAWS Certified Solutions Architect ProfessionalSnowPro® Advanced Architect/Data EngineerMicrosoft Fabric Data Engineer