Data EngineerMedeloop • San Francisco, CA, United States
Data Engineer
Medeloop • San Francisco, CA, United States
[job_card.variable_hours_ago]
[job_preview.job_type]
- [job_card.full_time]
[job_card.job_description]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
Data Engineer
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 appropriate security measures and data governance policies.
Who You Are :
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