Senior Data Platform Engineer

2 weeks ago

Mountain View, California, United States Qventus Full time
About Qventus

Qventus is a leading healthcare technology company that enables hospitals to focus on what matters most: patient care. Our innovative solutions harness the power of machine learning, generative AI, and behavioral science to deliver exceptional outcomes and empower care teams to anticipate and resolve issues before they arise.

We're inspired to work with healthcare leaders on our founding vision and unlock world-class medicine through world-class operations. Our success in rapid scale across the globe is backed by some of the world's leading investors.

Job Description

We're seeking a Senior Data Platform Engineer to lead the design, development, and management of our Perioperative solution and data pipelines. As a key member of our team, you will identify, monitor, and lead initiatives to ensure our pipelines remain scalable, reliable, and efficient in light of evolving data requirements.

You will work closely with solution experts to design, iterate, and develop key pipelines to unlock new solution functionality, analytical insights, and machine learning features. You'll translate product needs into high-quality schemas, pipelines, and scalability investments for our infrastructure and processes to support company expansion within the healthcare space, respecting HIPAA restrictions.

As a Sr. Data Platform Engineer, you will:

  • Lead scoping and execution of critical improvements to our platform to maintain overall system health and improve data observability in lieu of changing product needs and to optimize innovation velocity
  • Manage the acquisition, assessment & integration of new datasets, collaborating closely with core data users to unpack the data and relevance to our core products and domain
  • 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.)
  • Provide expertise on the overall data engineering best practices, standards, architectural approaches and complex technical resolutions
  • Support execution against key client implementations and team deliverables
Key Responsibilities

Strong cross-functional communication - ability to break down complex technical components for technical and non-technical partners alike

Robust aptitude for interpreting complex datasets, including the ability to discern underlying patterns, identify anomalies, and extract meaningful insights, demonstrating advanced data intuition and analytical skills.

Excellence in quality data pipeline design, development, and optimization to create reliable, modular, secure data foundations for the organization's data delivery system from applications to analytics & ML

Experience building, designing, and/or developing on a diverse set of modern data architecture designs and their relative capabilities and use cases (ex. Data Lake, Lakehouse, Lambda)

Interest in mentoring and supporting new developers

What We Offer

We offer a competitive salary range of $150,000 to $180,000, as well as a comprehensive benefits package, including open paid time off, paid parental leave, professional development, wellness, and technology stipends. We're an equal opportunity employer and give all qualified applicants consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

Candidate information will be treated in accordance with our candidate privacy notice which can be found here: https://qventus.com/ccpa-privacy-notice/

Employment is contingent upon the satisfactory completion of our pre-employment background investigation and drug test.

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