About the role
What we're looking for:
We are seeking an experienced Data Engineer with experience in building and scaling data pipelines and distributed systems. You should be comfortable in an autonomous, fast-paced startup environment and have a track record of owning data infrastructure projects from end to end. Proficiency with data pipelining tools like Airflow or Dagster, and experience with dbt is required. Bonus points if you have experience with healthcare data.
What you'll do:
- Design, build, and maintain scalable and reliable data pipelines using tools like Airflow/Dagster and dbt.
- Take ownership of the data infrastructure, ensuring data quality, and enabling the rest of the team to leverage data effectively.
- Work closely with software engineering, machine learning, and product teams to understand data needs and deliver robust solutions.
- Develop systems for data processing and coordination for our AI-driven products.
- Optimize and scale our database systems to handle massive datasets efficiently.
