Senior Data Engineer | Healthcare Analytics | $170k- $190k+ Bonus + Equity + Benefits

  • location

    New York

  • sector:

    Data, Science

  • job type:


  • salary:

    $170,000 - $190,000

  • Contact:

    Jack Foster

  • Email:

  • published:

    almost 2 years ago

  • expiry date:


Senior Data Engineer | Healthcare Analytics | 



Now becoming the most recognised Machine Learning Driven analytics company in healthcare, this firm is transforming predictive analytics and have built a proprietary data cloud and analytics platform. 

You will be fully immersed within a company that is focussing on making a difference in the world and offering real-time healthcare intelligence giving the world of medicince the modernisation it needs. 


The Data Engineering Team is seeking a Senior Data Engineer to bepart of build out our data pipelines and data infrastructure, helping them develop data processing that is scalable, reliable and automated.


This is a unique opportunity to join a growing fast-paced company, and to be a part of a team who love an intellectual challenge but, most of all solving, real-world problems in the Healthcare and Life Science space. 

  • Design, develop, and implement data infrastructure and pipelines that collect, connect, centralize, and curate data from various internal and external data sources.
  • Create automated systems/tools to configure, monitor, and orchestrate the data infrastructure and the data pipelines.
  • Evaluate emerging technologies for continuous improvements in Data Engineering.
  • Collaborate closely with the product team to build out new data features.
  • Collaborate with the data scientists to implement predictive algorithms and models using latest technologies.
  • MS in Computer Science or related degrees.
  • 6+ years of relevant experience with data engineering or similar experience.
  • Expert within Python and hace proficiency in java or cala
  • Experience with pipeline systems - Airflow ideally. 
  • Deep knowledge in Hadoop, Spark, Kubernetes
  • Expert in Relational Database
  • CI/CD Experience and Jenkins.


  • Experience or interest in the life sciences industry.
  • Expert Python experience. 
  • Experience with graph databases.


 Python, Spark, AWS, , Git, Airflow, Snowflake and Flask, Jenkins, Hadoop