Opportunity

Pager is looking to hire a Senior Data Engineer to build and expand the company’s data engineering and analytics infrastructure. You’ll be working in a fast-paced collaborative environment and contribute to our team's mission: Turn the complex world of healthcare into a simple and beautiful experience for millions of users.

Responsibilities

  • Work with internal and external stakeholders to determine their data needs and 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 and expand existing data engineering and analytics infrastructure to ensure their efficiency and stability
  • Educate and 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 and Business Intelligence platforms
    • Hands-on experience with machine learning tools and libraries including (not limited to) Numpy, Pandas, and Seaborn
    • Are familiar with data cleaning, sanitization and adequate handling of sensitive information
  • You know computer science and engineering:
    • Have a strong CS background to choose the right algorithms, systems approaches and patterns to solve problems: you won't reinvent the wheel
    • Have a proven track record designing and implementing data driven products
    • Write production quality code and 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 and Docker
  • You have a sense of ownership:
    • Take responsibility for your projects and pride in your work
  • You come up with novel solutions to a diverse set of problems:
    • Ask hard questions and challenge assumptions to ensure that we’re solving the right problems
    • Have flexibility to work on the team’s 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 and APIs
  • Experience with storage models coming from the SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Elasticsearch, Redis, Graph based storage)
  • RabbitMQ and NodeJS experience
  • Experience using Docker containers and configuration management systems

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