Senior Data Platform Engineer, Mendel.ai

$170-230k

AWS
Kubernetes
GCP
Tableau
Kafka
Power BI
Azure
Spark
Kubeflow
Senior level
San Francisco Bay Area

Office located in San Jose, CA

Mendel.ai

AI-driven oncology research

Open for applications

Mendel.ai

AI-driven oncology research

21-100 employees

HealthcareB2BArtificial IntelligenceAnalyticsSaaSData Analysis

Open for applications

$170-230k

AWS
Kubernetes
GCP
Tableau
Kafka
Power BI
Azure
Spark
Kubeflow
Senior level
San Francisco Bay Area

Office located in San Jose, CA

21-100 employees

HealthcareB2BArtificial IntelligenceAnalyticsSaaSData Analysis

Company mission

To use AI aided by clinical experts to streamline global oncology research by organizing real world data and automating clinical trials.

Role

Who you are

  • Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent professional experience
  • Minimum of 5 years of experience in data engineering or a related role, with a strong focus on building and maintaining data platforms and infrastructure
  • Proficient in programming languages such as Python, Scala, or Java, and experience with SQL and NoSQL databases
  • Hands-on experience in distributed computing frameworks like Apache Spark, Ray, and related ecosystem tools
  • Experience cloud platforms (e.g., AWS, GCP, Azure) and their data services
  • Experience with containerization technologies like Docker and orchestration tools like Kubernetes
  • Experience in solving complex problems using both structured and unstructured data
  • Strong understanding of data modeling, data warehousing, and data integration concepts
  • Excellent problem-solving, analytical, and troubleshooting skills
  • Ability to work collaboratively in a team environment and communicate complex technical concepts effectively

Desirable

  • Master's degree in a relevant field or equivalent experience
  • Experience with real-time data processing and streaming technologies (e.g., Apache Kafka, Apache Flink)
  • Experience in data governance, data quality, and data security best practices
  • Experience in agile software development methodologies and DevOps practices
  • Experience with machine learning and data science workflows is a plus

What the job involves

  • Architect and build scalable and performing data platforms by leveraging technologies like Apache Spark, Elastic, Kafka, Kubernetes, and various cloud-based data services
  • Design and develop data pipelines for ingesting, transforming, and processing large volumes of structured and unstructured data from multiple sources
  • Collaborate with data engineers, data scientists, and business stakeholders to understand data requirements and translate them into robust and efficient scalable data solutions
  • Optimize data workflows and processes for performance, reliability, and cost-effectiveness
  • Implement data governance policies, data quality controls, and data security measures to ensure data integrity and compliance with regulatory requirements
  • Automate and streamline data operations through scripting, containerization, and orchestration tools
  • Participate in code reviews, knowledge sharing, and mentoring of junior team members
  • Stay up-to-date with emerging data technologies, trends, and best practices, and contribute to the continuous improvement of our data platform

Our take

Mendel is a company of physicians and engineers, that improves medical research by adding huge swathes of previously untapped data into the clinical research process with extreme efficiency, transforming unstructured EMR data and clinical literature into comprehensive, compliant analytics-ready data.

The company distinguishes itself from other companies tackling the same problem in areas like law and finance by concentrating on medicine. The company has an AI knowledge base specifically in the area of medicine and a strategic partnership with eFax which will digitize eFaxes, still in use by 90% of the industry. Competition comes from DeepMind, a generalist in the space, covering all industries.

Rival DeepMind lost traction in the past with the UK NHS, as they were found to violate data-privacy laws. Mendel’s navigation of data-privacy regulations is strong, as it is able to de-identify personal health information, with an over 99% accuracy rate. The company has raised impressive funding and is well set to see continued growth.

Steph headshot

Steph

Company Specialist

Insights

Top investors

63% employee growth in 12 months

Company

Funding (last 2 of 5 rounds)

Apr 2022

$40m

SERIES B

Jun 2021

$18m

SERIES A

Total funding: $65.4m

Company benefits

  • Flexible Spending Account (FSA)
  • Dependent Care FSA
  • Health Savings Account (HSA)
  • Long-Term Disability
  • Life Insurance
  • 401k
  • Maternity + Paternity Leave
  • Work from home opportunities
  • Health insurance

Company HQ

Downtown San Jose, San Jose, CA

Leadership

Studied Computer Science at Columbia. Has worked at various universities, including as a Project Supervisor at the University of Damascus. Co-founded Lifeboon.com, and MedTools.com, where he also served as CTO. Was a Senior Research Scientist at EMR.AI.

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