About the role

Data Engineer (Full Remote)

Join Abridge to build and optimize large-scale data infrastructure that supports business decisions and machine learning research.

Responsibilities

Build and optimize large-scale data infrastructure for business decision-making and ML research.
Develop and maintain scalable data services, pipelines, and storage solutions for returning application data (including unstructured data).
Collaborate with frontend/backend engineers, product managers, and analysts to design:
- Data integrations
- A data quality framework

Requirements

Deep knowledge of modern data infrastructure best practices.
Strong proficiency in SQL and at least one general-purpose programming language (Python, Java, or Scala).
Experience with distributed systems and distributed processing frameworks.
Ability to design and operate systems that ingest, transform, and manage both structured and unstructured data.
Proven experience building well-modeled, documented, maintainable data products.
Ability to prioritize effectively in a fast-moving environment.
5+ years of experience in Data Engineering or Backend Engineering focused on data systems.
Proficiency with a modern cloud provider and its data services (GCP, AWS, or Azure).
Experience with Terraform, Kubernetes, and containerization technologies.

Nice to Have

Familiarity with deploying ML models at scale.

About Abridge

Abridge is a high-growth technology startup building products that leverage data and machine learning research. The role focuses on large-scale data infrastructure and data pipelines to enable business decision-making and scalable ML workflows.