At Mendel, we leverage the power of AI to transform healthcare. We strive to ensure every patient's journey informs healthcare decisions, whether it's a physician selecting the optimal treatment plan or a pharmaceutical company discovering a groundbreaking drug. By cultivating a comprehensive understanding of a patient's health record journey, we can deliver the right care at the right time to the right person. Join us in our ambitious vision to enhance healthcare delivery using AI technology.
Position Overview:
As a Senior Data Engineer in Mendel's customer delivery team, you will help architect and implement solutions allowing our customers to fully realize value from the Mendel AI platform. You will serve as a primary technical point of contact to the customer, working with them during post-sales implementation to ensure we support their end to end clinical data analytical needs powered by Mendel's AI capabilities.
To be successful in this role, you must balance technical data engineering expertise with exceptional communication skills with technical and non technical stakeholders to ensure successful project execution and customer satisfaction.
Responsibilities:
Navigate and assess customer's complex data infrastructure landscape across various cloud environments including AWS, Azure and GCP to to build a deployment solution design.
Design, develop and support data pipelines and workflows that integrate various sources of structured and unstructured medical data across our customers' landscape with the Mendel AI platform.
Assess and implement any customizations and custom data wrangling needed to transform customer datasets in a way that is best suited for processing by our ML models.
Monitor data processing and machine learning workflows to ensure customer data is successfully processed by our ML models, debugging and resolving any issues faced along the way.
Generate necessary data artifacts and analytics needed to assess the quality of results generated by different parts of the AI workflow to ensure they meet desired quality standards.
Collaborate closely with the AI team to assess model performance and improve results as needed.
Collaborate closely with Product Engineering as needed to resolve any issues faced during customer deployment and onboarding.
Collaborate closely with Customer Success Managers and Account managers to maintain close customer relationships and ensure customer satisfaction.
Develop tooling and playbooks to streamline and automate key technical delivery activities to be repeatable and scalable.
Basic Qualifications:
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
6+ years of data engineering experience.
ETL or Pipeline design/implementation with Large Datasets.
Experience with distributed processing systems like Spark, Kubernetes, Elasticsearch, and familiarity with operational visibility tools like Prometheus, Loki and Grafana.
Fluency required with SQL and Python with bonus points for also being proficient in Java.
Experience in AWS and GCP cloud environments.
Prior customer facing experience with demonstrable ability to communicate effectively with both technical and non-technical stakeholders and partners at all levels.
Experience building relationships with and collaborating cross functionally across Product, Engineering and AI teams to achieve customer outcomes.
Preferred Qualifications:
Healthcare domain experience handling EHR and Claims data will be a huge plus.
Recent experience building data pipelines supporting Machine Learning workflows.
At Mendel, we believe in the transformative potential of technology. We offer a dynamic and rewarding work environment, competitive compensation, and comprehensive benefits. If you share our passion for innovation and making a difference in healthcare, Mendel could be the place for you. Join us as we work to improve the future of healthcare.
P.S: This role requires you to be working onsite at our San Jose office.