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Solutions Engineer, Healthcare

ProtegeAI Training company
RemoteMid
Data & AI

About the role

Operate and improve healthcare data infrastructure.

  • Operate and improve the infrastructure that moves large-scale healthcare datasets between partners, cloud platforms, and customers.
  • Key Responsibilities Execute and monitor large-scale data transfers across AWS S3, Google Cloud Storage, Azure Blob, Snowflake, and customer environments.
  • Use Python and SQL to join datasets, add derived columns, clean data, and validate CSV, Parquet, and database tables.
  • Leverage Protege's Dagster-based platform to orchestrate data processing and delivery.
  • Requirements Strong hands-on experience with data pipelines, both orchestrated and manual, in real production environments.
  • Fluency with command-line tooling in Linux or MacOS and strong scripting ability in Python, SQL, and Bash/shell.
  • Experience working with cloud storage systems and large-scale cross-cloud data movement.
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Tech stack

AWSGoogle CloudAzureSnowflakePythonSQLBashDagster

Match insights

Tech:AWS, Google Cloud, Azure, Snowflake, Python
Level:Mid

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