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Data Engineer

Washington, DC
Data Engineer


  • Design, build and launch efficient and reliable data pipelines for ingesting and transforming data 3rd party systems
  • Optimize data storage, schemas, and data migration approaches
  • Continually improve computational efficiency in analytical processing at scale
  • Own and maintain Schoolytics’ internal data infrastructure assets primarily hosted on Google Cloud
  • Design and deploy data products to serve end-users
  • Build data engineering tools and frameworks to enable common data processing patterns at scale 
  • Build back-end data services for internal applications


  • 3+ years of hands-on experience with Python, Java, or Scala for data processing
  • 3+ years of data or software engineering experience
  • Knowledge of data pipelining and workflow management tools such as Apache Airflow and Apache Beam
  • Experience with Google Cloud Platform
  • Working experience with data warehouses such as BigQuery
  • Advanced working SQL experience
  • Experience building big data processing pipelines using a distributed data processing engine/framework
  • Familiar with dimensional data modeling and data normalization
  • Exposure to working in a dynamic and fast-paced role

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