page_title

tags.new

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

First Name

Last Name

Preferred First Name

Country

Phone

Resume/CV

Accepted file types: pdf, doc, docx, txt, rtf

Cover Letter

Accepted file types: pdf, doc, docx, txt, rtf

Degree

Select...

Are you currently based in San Francisco and open to working in a hybrid model?

Select...

Do you require visa sponsorship?

Are you willing to undergo a background check in accordance with local laws and regulations?

Select...

What data pipelines or ETL systems have you built in production, and what tools did you use (for example Spark, EMR, Dataproc, AWS)?

Have you designed or optimized data workloads in the cloud? Briefly describe one example and the scale involved.

Have you worked with complex or regulated data (healthcare, finance, etc.)? How did you ensure data quality and security while working with other teams?

Have you worked on projects that worked cross cloud AWS to GCP?

LinkedIn Profile

Data Engineer

Apply for this job