The Leader in Care Operations Automation

Qventus, Inc

Senior Data Engineer

QA Automation Engineer

QA Functional Tester

As a Senior Data Engineer at Qventus, you'll design, develop, and manage data pipelines ensuring scalability and efficiency.  You'll collaborate with cross-functional teams to build new data solutions, integrate complex data sources, and create robust data transformations. Key responsibilities include building and improving data workflows, enhancing data asset quality, optimizing pipelines and dashboards, and collaborating on ETL frameworks.  This role directly impacts patient and doctor experiences by improving data-driven decision-making and product features.

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 About the job
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 On this journey for over 12 years, Qventus is leading the transformation of healthcare. We enable 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. Our success in rapid scale across the globe is backed by some of the world's leading investors. At Qventus, you will have the opportunity to work with an exceptional, mission-driven team across the globe, 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. As a Senior Data Engineer at Qventus, you will play a pivotal role in developing and driving new data solutions. You will design, develop, and manage data pipelines that ensure the scalability, reliability, and efficiency of our data platform. Collaborate with cross-functional teams to unlock new features and drive innovation. Your work will improve patient and doctor experiences by integrating complex data sources and creating robust data transformations. Key Responsibilities: <ul><li>Build, tune, and improve the end-to-end workflow of data users at Qventus to data-driven decisions &amp; product features (incl. designing data structures, building and scheduling data transformation pipelines, improving access to critical data assets etc.).</li><li>Improve the overall definition and quality of our data assets, incl. the automation and management of schema lifecycles, improved tooling for data flow visibility, and data quality tooling/monitoring</li><li>Support the optimization and scale of existing pipelines, dashboards, and data science feature engineering to support Qventus scale</li><li>Collaborate with data infrastructure and engineering teams to build, extend, and envision cross-platform ETL and reports generation frameworks to raise engineering standards. </li></ul>
What We’re Looking For: <ul><li>Demonstrated experience in leading data modeling &amp; transformation pipeline design for production services and data science/analytics partner needs (strong SQL &amp; DBT experience preferred)</li><li>Working, hands-on, knowledge of modern Data Warehouses &amp; ETL tools (Snowflake, Airflow) and experience optimizing &amp; designing the data processing for modern data visualization tools (Looker preferred)</li><li>Experience analyzing data to identify deliverables, gaps, and inconsistencies to ultimately refine dataset requirements and standards </li><li>Professional experience working with modern programming languages such as Python (preferred), Java, Go, C++ and a dedication to high code quality. </li></ul>
Preferred Qualifications: <ul><li>Strong cross-functional communication - the ability to break down complex technical components for technical and non-technical partners alike.</li><li>Practical hands-on experience with data lake/schema discovery systems and relevant technologies (Confluent/Kafka, Spark, Athena/Glue, DynamoDB etc.) </li><li>Familiarity with the AWS ecosystem (Lambda, RDS, Redshift etc.)</li><li>Experience handling unstructured data, especially working with NLP tooling to extract information from text </li><li>Bachelor’s degree in Computer Science, Engineering, Analytics, or related field, or equivalent training/experience </li></ul>
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 for 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: <a class="XfXlvipTSrxjPDmBIXpWhHUCdAMDxlRIsg " target="_blank" href="https://qventus.com/ccpa-privacy-notice/" data-test-app-aware-link="">https://qventus.com/ccpa-privacy-notice/ </a>Candidates are required to work from our NCR/Noida offices for at least three (3) days a week as well as keep US based timings that can extend to 12:30 am IST. Employment is contingent upon the satisfactory completion of our pre-employment background investigation and drug test.
 
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