Senior Data Engineer

at  Prenuvo

ABOUT US

At Prenuvo, we are on a mission to flip the paradigm from reactive “sick-care” to proactive health care. Our award-winning whole body scan is fast (under 1 hour), safe (MRI has no ionizing radiation), and non-invasive (no contrast). Our unique integrated stack of optimized hardware, software, and increasingly AI, coupled with the patient-centric experience of our clinics across North America, have allowed us to lead the charge against “we caught it too late again."Prenuvo operates preventative screening clinics in Vancouver, Silicon Valley, Dallas, Boca Raton, Bethesda, Minneapolis, Atlanta and Los Angeles. New York City and Chicago will be opening soon! Boston, Seattle, and Washington DC will be opening later this year.
We are looking for a Senior Data Engineer to join our growing technology team. You will apply your passion for large complex data systems to design, build, and maintain our data infrastructure and production environments.
Help reshape the world through proactive healthcare while working with innovative technology and high performing teams with deep expertise - join us to make a difference in people’s lives!

• Design, build, and maintain our data infrastructure and pipelines to ensure secure, reliable, and efficient processing of large volumes of data in production environments
• Implement monitoring, alerting, and logging systems to track the performance, health, and reliability of our data infrastructure and pipelines, and proactively identify and address issues or anomalies
• Optimize and tune our data pipelines for performance, scalability, and reliability, leveraging technologies such as Apache Spark, Kafka, and Hadoop to handle big data workloads
• Ensure data quality and integrity by implementing data validation, cleansing, and transformation processes, and maintaining documentation and lineage tracking for all data flows
• Optimize and tune our data pipelines for performance, scalability, and reliability, ensuring that our data infrastructure can handle large volumes of data and meet SLAs
• Stay current with the latest trends, tools, and technologies in data engineering and contribute to guide the evolution of our data technology stack