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Data Engineer
Skills
Computer ScienceData EngineeringSQLAirflowData PipelinesJupyterLaptops
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
