- Prototype and rapidly iterate on new features and applications using Python, SQL, Databricks, DBT, and AWS tools.
- Collaborate with cross-functional teams to integrate generative AI technologies that support and enhance decision-making processes in clinical environments.
- Develop and maintain scalable and efficient data pipelines that support the analytics and AI-driven features of our products.
- Engage in the full development lifecycle from concept to deployment, ensuring robust and sustainable AI solutions.
- Advocate for best practices in coding, testing, and deployment within the team, contributing to a culture of excellence and innovation.
- Design and implement effective database solutions and models to store and retrieve company data.
- Examine and identify database structural necessities by evaluating client operations, applications, and programming.
- Assess database implementation procedures to ensure they comply with internal and external regulations.
- Install and organize information systems to guarantee company functionality.
- Prepare accurate database design and architecture reports for management and executive teams.
- Proven experience as a Data Engineer, Database Developer, or similar role.
- Expertise in Python, SQL, and familiarity with AWS tools, Databricks, and DBT.
- Strong understanding of database structure systems and data mining.
- Excellent organizational and analytical abilities.
- Outstanding problem solver.
- Experience with AI or ML projects, especially in healthcare or similar critical sectors.
- Prior exposure to Agile development environments.
- Familiarity with data science and machine learning techniques.
- Competitive medical, dental, and vision coverage with a 90% employer-paid premiums for employees option
- Generous HSA contribution, when elected and participating in an eligible plan, up to $1,500 annual company contribution
- Employer-provided (100% paid) Short Term and Long Term Disability insurance and Basic Life and AD&D insurance
- 100% paid Parental and Pregnancy Leave
- Monthly Wellness and Technology stipend up to $50 per month
- Ability to participate in the 401(k) plan
- Generous Stock Option awards
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Data Engineer - Mountain View, United States - Qventus
Description
Job Description
Job DescriptionAbout Us:
Qventus is a real-time decision making platform for hospital operations. Our mission is to simplify how healthcare operates, so that hospitals and caregivers can focus on delivering the best possible care to patients. We use artificial intelligence and machine learning to create products that help nurses, doctors, and hospital staff anticipate issues and make operational decisions proactively.
About the Role:
Are you the next Qventoid? We're looking for a creative and innovative Data Engineer to spearhead our efforts in developing AI assistants designed to empower, not replace, clinicians. You will join a dynamic team dedicated to leveraging our tech stack to build solutions that improve clinical workflows and patient care.
As a Data Engineer, you will:
Key Responsibilities:
What We're Looking For:
It's a Plus if You Have...
Qventus is on a mission to take modern technologies and principles that have been proven in other industries — artificial intelligence, machine learning, behavioral science, and data science — and apply them to simplify healthcare operations. At Qventus, you will have the opportunity to work with an exceptional, mission-driven team, and the ability to directly impact the lives of patients. We're inspired to work with healthcare leaders on our founding vision and unlock world-class medicine through world-class operations.
The salary range for this role is $135,000 to $165,000. This salary represents market data's middle to the high end across different geographies. We consider several factors when determining compensation, including location, experience, and the role's responsibilities. Salary/OTE is just one component of Qventus' total rewards package. Our benefits and perks currently include, but are not limited to:
We believe that diversity, equity, inclusion, and belonging are fundamental to improving healthcare and society, and that's why we're building a company that leads the way. We hold ourselves accountable to using fair hiring processes that mitigate the negative impacts of unconscious bias. We also work to ensure that people from underrepresented groups play meaningful roles on both sides of the interview table. We are 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:
This position does not provide visa sponsorship.
Employment is contingent upon the satisfactory completion of our pre-employment background investigation and drug test.
