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Pager // simplifying medical experience bringing care to patients
Engineering, Full Time    New York City    Posted: Thursday, March 26, 2020
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Pager is looking to hire a Senior Data Engineer to build & expand the companys data engineering & analytics infrastructure. Youll be working in a fast-paced collaborative environment & contribute to our team's mission: Turn the complex world of healthcare into a simple & beautiful experience for millions of users.


  • Work with internal & external stakeholders to determine their data needs & formulate the technical solutions to solve them
  • Collaborate with other engineers to implement these solutions in a scalable fashion using the latest open-source technologies
  • Maintain & expand existing data engineering & analytics infrastructure to ensure their efficiency & stability
  • Educate & mentor other engineers on data engineering best practices

You'll be a good fit if

  • You know data science:
    • Have a strong hands-on experience with Data Engineering projects, especially with regards to ETL Management & Business Intelligence platforms
    • Hands-on experience with machine learning tools & libraries including (not limited to) Numpy, Pandas, & Seaborn
    • Are familiar with data cleaning, sanitization & adequate handling of sensitive information
  • You know computer science & engineering:
    • Have a strong CS background to choose the right algorithms, systems approaches & patterns to solve problems: you won't reinvent the wheel
    • Have a proven track record designing & implementing data driven products
    • Write production quality code & tests
  • You can hit the ground running:
    • M.Sc. or Ph.D. in computer science, engineering, statistics, computational linguistics, or other quantitative field, or equivalent professional experience
    • 2+ years of experience in a production data science environment
    • Experience working with AWS & Docker
  • You have a sense of ownership:
    • Take responsibility for your projects & pride in your work
  • You come up with novel solutions to a diverse set of problems:
    • Ask hard questions & challenge assumptions to ensure that were solving the right problems
    • Have flexibility to work on the teams most pressing problems

Nice to haves

  • Experience dealing with health system partners data (e.g. EHRs, HIEs, ADT feeds, claims/pre-auth feeds, )
  • Experience dealing with FHIR data format & APIs
  • Experience with storage models coming from the SQL (PostgreSQL, MySQL) & NoSQL (MongoDB, Elasticsearch, Redis, Graph based storage)
  • RabbitMQ & NodeJS experience
  • Experience using Docker containers & configuration management systems
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