Full-Time

Data Engineer – Staff/Senior

Updated on 11/16/2024

Abridge

Abridge

51-200 employees

AI platform for clinical documentation automation

AI & Machine Learning
Healthcare

Compensation Overview

$200k - $265kAnnually

+ Equity

Senior

San Francisco, CA, USA

Requires in-office presence in San Francisco a minimum of three times per week; relocation assistance available.

Category
Data Engineering
Data & Analytics
Required Skills
Kubernetes
Microsoft Azure
Python
SQL
Java
AWS
Scala
Terraform
Google Cloud Platform
Requirements
  • 5+ years of experience in Data Engineering or Backend Engineering with a focus on data systems.
  • Proficient in at least one general purpose programming language (e.g., Python, Java, Scala) and SQL (any variant)
  • Proficiency with at least one modern cloud provider (GCP, AWS, Azure) and accompanying data services
  • Experience in building systems that manage the ingest, transformation, and management of both structured and unstructured data types
  • Deep knowledge of modern data infrastructure best practices
  • Experience with distributed systems and different distributed processing frameworks
  • Experience with Terraform, Kubernetes, and containerization technologies.
  • Familiarity with the deploying ML models at scale a bonus
  • Experience in building data products that are well-modeled, documented and easy to understand and maintain.
  • Ability to prioritize amidst changing priorities in a fast moving environment
Responsibilities
  • Build and maintain scalable data services, pipelines and storage solutions for the feedback of unstructured application data for ML training and evaluation purposes.
  • Build and manage OLAP databases, ELTs and general data tooling for analytics, business decisions and products features.
  • Work closely with a team of frontend and backend engineers, product managers, and analysts.
  • Optimize data infrastructure to enhance the throughput, latency and reliability of the data system.
  • Investigate and correct issues identified through data operations monitors, tools, and reports.
  • Designs data integrations and data quality framework.

Abridge provides a platform that changes how medical conversations are documented in healthcare settings. Its main product allows healthcare providers to record patient visits, which are then transformed into organized clinical documents. This helps doctors and other healthcare professionals save time on paperwork, allowing them to concentrate more on caring for their patients. Abridge stands out from its competitors by focusing specifically on improving the efficiency of clinical documentation through AI technology. The goal of Abridge is to enhance patient care and streamline the documentation process for healthcare providers, ultimately leading to better health outcomes.

Company Stage

Series C

Total Funding

$201.8M

Headquarters

Pittsburgh, Pennsylvania

Founded

2018

Growth & Insights
Headcount

6 month growth

77%

1 year growth

167%

2 year growth

393%
Simplify Jobs

Simplify's Take

What believers are saying

  • Abridge's AI solution has been shown to significantly reduce clinician burnout, improving work-life balance and job satisfaction.
  • The company's technology has led to a 53% increase in professional fulfillment among clinicians at UVM Health Network.
  • Recognition as one of the 'Most Promising AI Startups' by Forbes and investment from Nvidia's VC arm highlight Abridge's strong growth potential.

What critics are saying

  • The healthcare sector's stringent regulatory environment could pose challenges for Abridge's AI deployment and scalability.
  • Dependence on large health network partnerships means that losing a major client could significantly impact revenue.

What makes Abridge unique

  • Abridge specializes in generative AI for clinical documentation, a niche focus that sets it apart from broader AI companies.
  • Their platform supports over 14 languages and 50 specialties, making it highly versatile and adaptable to various medical fields.
  • Abridge's partnerships with major health networks like UVM Health Network and CHRISTUS Health demonstrate its strong market validation and trust.

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