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Benefits offered by this job
Competitive salary
Early-stage equity
Health, dental, and vision insurance
Wellness stipend
Generous PTO policy
Job summary
A healthcare AI startup is seeking a founding Data Engineer to design and build scalable data systems that will directly impact clinical decisions. In this role, you'll develop data pipelines and collaborate with data scientists to optimize analytics. Ideal candidates will have expert-level skills in Python or Scala, experience with tools like Spark and Airflow, and strong SQL expertise. This position offers a competitive salary, equity options, and a flexible work environment.
Qualifications
Expert-level skills in Python or Scala are essential.
Hands-on experience with data processing tools like Spark, dbt, and Airflow is required.
Strong SQL and data modeling expertise is expected.
Responsibilities
Design and build scalable data pipelines and ETL frameworks.
Partner with data scientists and AI engineers to operationalize analytics.
Architect and maintain the company's data infrastructure and lakehouse.
Skills
Expert-level Python or Scala skills
Hands-on experience with Spark, dbt, Airflow
Strong SQL and data modeling expertise
Tools
AWS (Glue, S3, Redshift)
Snowflake
BigQuery
Docker
CI/CD
Terraform
Job description
A healthcare AI startup is seeking a founding Data Engineer to design and build scalable data systems that will directly impact clinical decisions. In this role, you'll develop data pipelines and collaborate with data scientists to optimize analytics. Ideal candidates will have expert-level skills in Python or Scala, experience with tools like Spark and Airflow, and strong SQL expertise. This position offers a competitive salary, equity options, and a flexible work environment.