Job description

The Role:

The Data Engineer will be responsible for developing and maintaining our data and data pipelines, integrating pharmacy and patient information, and extracting insights for our business and customers. They will support the data needs of multiple systems, products, and departments within Digital Pharmacist.

Responsibilities:

  • Own data infrastructure, data lake/warehouse, and ETL jobs
  • Architect data patterns to support our organization’s needs.
  • Maintain security of HIPAA data while using it to power business decisions and analytics, as well as other customer facing systems.
  • Build a robust, comprehensive data architecture to support the goal of building tools to utilize large sets of data to help improve medication adherence and promote patient health.

Qualifications:

  • B.S. in CS, Engineering or equivalent experience
  • 2+ years of ETL/data engineering work
  • 3+ years of professional software engineering
  • Experience writing software in Python or similar language
  • Experience working with Relational and noSQL databases
  • Experience working with engineers and business analysts to solve data needs
  • Experience working with a data pipeline and ETL jobs

Preferred:

  • Experience with big data frameworks (Spark, EMR, etc)
  • Experience with Airflow, Luigi, Pinball or equivalent batch job managers
  • Experience working with cloud infrastructure
  • Experience with BigQuery, Redshift, Vertica, Cassandra or others
  • Experience consuming and building RESTful APIs

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