Data Engineer (Staff/Senior)

Abridge is a healthcare AI company founded in 2018 that transforms patient-clinician conversations into structured clinical notes in real-time, improving clinical documentation efficiencies.
$200,000 - $265,000
Data
Staff Software Engineer
Hybrid
5+ years of experience
AI · Healthcare

Description For Data Engineer (Staff/Senior)

Abridge, founded in 2018, is revolutionizing healthcare with its AI-powered platform for medical conversations. Our mission is to power deeper understanding in healthcare by transforming patient-clinician conversations into structured clinical notes in real-time. We're seeking a highly motivated Data Engineer to join our growing US-based Data Engineering team.

In this crucial role, you will:

  • Build and maintain scalable data services, pipelines, and storage solutions for ML training and evaluation
  • Manage OLAP databases, ELTs, and data tooling for analytics, business decisions, and product features
  • Work closely with frontend and backend engineers, product managers, and analysts
  • Optimize data infrastructure for enhanced throughput, latency, and reliability
  • Investigate and correct issues in data operations
  • Design data integrations and quality frameworks

The ideal candidate has:

  • 5+ years of experience in Data Engineering or Backend Engineering
  • Proficiency in a general-purpose programming language and SQL
  • Experience with cloud providers and data services
  • Knowledge of modern data infrastructure best practices
  • Experience with distributed systems and processing frameworks
  • Familiarity with Terraform, Kubernetes, and containerization technologies

We offer competitive compensation, including equity, and a comprehensive benefits package. Our culture values strong ideas, loosely held, and a growth mindset. Join us in transforming healthcare through AI and advanced technology!

Last updated 2 months ago

Responsibilities For Data Engineer (Staff/Senior)

  • Build and maintain scalable data services, pipelines and storage solutions for ML training and evaluation
  • Build and manage OLAP databases, ELTs and general data tooling for analytics, business decisions and products features
  • Work closely with frontend and backend engineers, product managers, and analysts
  • Optimize data infrastructure to enhance throughput, latency and reliability
  • Investigate and correct issues identified through data operations monitors, tools, and reports
  • Design data integrations and data quality framework

Requirements For Data Engineer (Staff/Senior)

Python
Java
Scala
Kubernetes
  • 5+ years of experience in Data Engineering or Backend Engineering
  • Proficient in at least one general purpose programming language (e.g., Python, Java, Scala) and SQL
  • 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
  • Ability to prioritize amidst changing priorities in a fast moving environment

Benefits For Data Engineer (Staff/Senior)

Medical Insurance
Dental Insurance
Vision Insurance
401k
Equity
Parental Leave
  • Flexible/Unlimited PTO
  • Equity
  • Medical insurance
  • Dental & Vision insurance
  • Flexible Spending (FSA) & Health Savings (HSA) Accounts
  • Learning and Development budget
  • 401k Plan
  • Paid Parental Leave
  • Flexible working hours
  • Home Office Budget
  • Sabbatical Leave

Interested in this job?

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