Base Salary
$150k - $180k/yr
Responsibilities
- Discover, evaluate, and integrate new datasets in partnership with stakeholders, including pipeline development, data modeling, and documentation.
- Manage data assets across their lifecycle while maintaining context and coordinating with ingestion and solution data engineering partners.
- Translate product and analytical goals into reliable, secure, modular data pipelines, including data structures, scheduled transformations, and quality improvements.
- Set company standards for data engineering practices, architectural approaches, pipeline design, and technology integration.
- Lead initiatives to collect, explore, and model data and establish quality checks in collaboration with cross-functional data users.
Requirements
- Demonstrated ability to communicate complex technical concepts to technical and non-technical partners.
- Strong analytical and data interpretation skills, including identifying patterns, anomalies, and meaningful insights; healthcare experience is preferred.
- Expertise designing, developing, and optimizing reliable, modular, secure data pipelines and data foundations for applications, analytics, and machine learning.
- Ability to independently lead ambiguous data initiatives from requirements through completion while collaborating with cross-functional teams.
- Preferred: 5+ years designing, building, and operating cloud-based, highly available, observable, and scalable data platforms with large, diverse production datasets.
- Preferred: relevant data architecture certifications, such as Databricks Certified Data Engineer Professional, AWS Certified Data Engineer or Solutions Architect Professional, SnowPro Advanced Architect/Data Engineer, Microsoft Fabric Data Engineer, or dbt Analytics Engineering.
- Preferred: experience with MLOps or developing and maintaining machine learning models and infrastructure.
- Preferred: experience with Sigma, Looker, Tableau, or similar analytics and data visualization technologies.
- Preferred: a degree in Computer Science, Engineering, or a related field.
Benefits
- Open Paid Time Off, paid parental leave, professional development, wellness and technology stipends, employee referral bonus, and employee stock option awards.
- Employment is contingent upon satisfactory completion of a pre-employment background investigation and drug test.
Tech Stack
Categories
About Qventus
Qventus uses AI to intelligently automate operations across care settings and help health systems achieve the margins needed to achieve their mission of delivering exceptional care to their communities. Think of Qventus as an AI teammate working alongside your care teams. We reduce the administrative burden, identify potential issues upstream, surface suggested interventions, and actually take action to solve problems for busy staff—a collective system of action that sits on top of your enterprise systems of record. For health system executives, Qventus unlocks significant ROI by driving strategic growth, increasing capacity, and reducing costs, while delivering powerful insights to help solve longstanding operational challenges once and for all. For frontline healthcare staff, we tackle the below license administrative tasks that cause burnout. Qventus removes every hurdle in the team’s path that prevents them from getting back to the work they are passionate about— caring for patients. At the end of the day, if you ask Qventus clients why they work with us, their answer is always: the partnership. While our technology is transformative, it’s our dedication to helping clients overcome their biggest obstacles to growth that makes 100% of our partners say they consider Qventus part of their long term strategy.