Data Engineer

Company:
Location: Washington, DC

*** Mention DataYoshi when applying ***

Responsibilities:

  • Primary Responsibilities:
    • Integrate data using SQL and REST APIs, and author data transformation pipelines for new data sources using PySpark and Pandas;
    • Maintain existing PySpark and Pandas data pipelines, including monitoring pipeline health, debugging pipeline failures and making ad-hoc changes to pipeline code to support user requests;
    • Write code to convert data from its native format to Palantir model format
    • Implement ad-hoc changes to dashboards written in Javascript and SQL to support user requests.
    • On call every other weekend to support workflows related to the HHS and CDC COVID-19 response.
Qualifications:

  • Required Abilities:
    • Experience writing production data pipelines in the following coding languages:
      • Pyspark
      • Pandas
      • SQL
    • Experience with frontend development in Javascript
    • Experience working with REST APIs
    • Prior experience with Apache Spark is also desirable
  • Requirements:
    • At least (3) years of relevant technical experience in software engineering and systems engineering and deployment of complex computer systems; and
    • Bachelor’s Degree in Science, Technology, Engineering, or Math (STEM) field.

*** Mention DataYoshi when applying ***

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