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Data Engineer

Skills
Computer ScienceData EngineeringSQLAirflowData PipelinesJupyterLaptops
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • A bachelors, masters or PhD in computer science or a related field
  • At least two years of experience in a data engineering role building systems in a fast-paced environment
  • Proficiency in Python and SQL or similar languages
  • Have experience developing and maintaining data pipelines in a production setting
  • Knowledge of visualization tools such as Metabase or Jupyter Notebooks
  • Enjoy tackling complex problems -- but strive to avoid unnecessary complexity

Nice to have

  • Experience with dbt and orchestration platforms like Dagster or Airflow
  • Developed distributed data processing systems
  • Experience at an early stage startup
  • Motivated by our mission to improve pregnancy outcomes

Day to day

  • Designing and implementing reliable data pipelines to process large volumes of data
  • Collaborating with data scientists and analysts to optimize data processes
  • Implementing data quality and validation checks to ensure the accuracy and integrity of data