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Data Engineer
Data EngineerMedeloop • San Francisco, CA, US
Data Engineer

Data Engineer

Medeloop • San Francisco, CA, US
7 days ago
Job type
  • Full-time
Job description

Job Description

Job Description

We are seeking a mission-driven Data Engineer to act as the technical partner across the full customer lifecycle, from pre-sales through post-sales adoption. This role works closely with Machine Learning, Customer Success, and Product to support technical discovery, demos, implementations, and ongoing customer engagement. You will serve as a primary technical resource for prospects and customers, answering questions, unblocking adoption, and translating customer needs into clear, actionable feedback for the product team.

Key Responsibilities :

  • Develop data exchange protocols and ETL pipelines using cloud services such as Cloud Functions, AWS Lambdas and ECS to facilitate the transfer of data between parties.
  • Build vector databases to store and manage complex healthcare terminology using Aurora DB and Postgres.
  • Design and optimize large-scale Spark workloads on AWS EMR and Cloud Dataproc.
  • Ensure the security and integrity of our data infrastructure by implementing appropriatesecurity measures and data governance policies.

Who You Are :

  • Bachelor's or Master's degree in Computer Science, Data Science, a related field, or equivalent experience
  • 3+ years of experience as a data engineer, preferably in a data-intensive industry (healthcare, banking, etc.)
  • Experience with traditional programming languages such as Python, Java, or Scala
  • Experience leading the design and implementation of data infrastructure projects on GCP
  • Experience with ETL and Big Data services and frameworks such as Cloud Dataproc, BigQuery, Apache Spark, and others.
  • Experience with GCP services like Cloud Storage, CloudSQL, Cloud Functions, Cloud Workflows
  • Experience developing cloud infrastructure using Terraform
  • Knowledge of data governance and security best practices
  • Strong analytical and problem-solving skills
  • Excellent communication and collaboration skills
  • Ability to work independently and in a team environment
  • Passion for using data to improve healthcare outcomes
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