Description:

Qventus is a healthcare transformation company that has been operating for over 12 years, focusing on patient care through innovative solutions.
The Senior Data Engineer will develop and drive new data solutions, ensuring the scalability, reliability, and efficiency of the data platform.
Responsibilities include designing, developing, and managing data pipelines, collaborating with cross-functional teams, and improving patient and doctor experiences by integrating complex data sources.
The role involves leading the design and management of data pipelines in support of data-intensive AI solutions and ensuring the data platform meets evolving requirements.
Key responsibilities include discovering and integrating new datasets, translating product visions into functional data pipelines, engaging in rapid AI product development, and setting standards for data engineering practices.

Requirements:

Proven experience as a Data Engineer with excellence in designing, developing, and optimizing data pipelines.
Expertise in Python, SQL, and familiarity with AWS tools, Databricks, and DBT.
Strong understanding of database structures and data mining.
Ability to interpret complex datasets and extract meaningful insights, with a preference for candidates with healthcare experience.
Proven ability to handle ambiguous project requirements and lead data initiatives while collaborating with non-technical teams.

The salary range for this role is $140,000 to $190,000, considering various factors such as location and experience.
Key benefits include Open Paid Time Off, paid parental leave, professional development opportunities, wellness and technology stipends, and a generous employee referral bonus.
Employees are also eligible for stock option awards as part of the total compensation package.
Qventus is committed to diversity, equity, inclusion, and belonging, ensuring fair hiring processes and meaningful roles for underrepresented groups.