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