Staff/Senior Data Engineer, Abridge

$200-265k

+Equity

SQL

AWS

Kubernetes

GCP

Python

Scala

Java

Terraform

Azure

Senior and Expert level

San Francisco Bay Area

More information about location

3+ days a week in office

Powering deeper understanding in healthcare through purpose-built AI

Be an early applicant

Powering deeper understanding in healthcare through purpose-built AI

101-200 employees

HealthcareB2BArtificial IntelligenceEnterpriseMachine LearningSaaSMedTech

Be an early applicant

$200-265k

+Equity

SQL

AWS

Kubernetes

GCP

Python

Scala

Java

Terraform

Azure

Senior and Expert level

San Francisco Bay Area

More information about location

3+ days a week in office

101-200 employees

HealthcareB2BArtificial IntelligenceEnterpriseMachine LearningSaaSMedTech

Company mission

To power a deeper understanding in healthcare.

Job

Company

Role

Who you are

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

What the job involves

Our generative AI-powered products are revolutionizing the practice of medicine, and we’re looking for a highly motivated Data Engineer to join our growing US-based Data Engineering team
In this crucial role, you will build and optimize large scale data infrastructure to drive business decisions and machine learning research
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

Our take

Summarizing key elements of healthcare conversations is crucial for both physicians and patients. Medical scribes, though effective, are costly, and the healthcare system faces funding and staffing crises. This has created a demand for more efficient notetaking solutions.

This is where Abridge comes in, it has developed a HIPAA-compliant AI platform that transcribes, structures, summarizes, and provides insights from audio or transcripts of medical conversations. It claims to work across all specialities and offers patient-friendly summaries in easy-to-understand language.

Abridge aims to alleviate pressure on the healthcare system from the patient's perspective, a unique approach among healthtech startups. While companies like Inovia, DOUB, and DeepScribe focus on assisting physicians with medical transcription AI, they lack Abridge's patient-centric features, which are valuable in enhancing the patient experience.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

Few candidates hear
back within 2 weeks

Glassdoor (4.9)

Company

Funding (last 2 of 4 rounds)

Feb 2024

$150m

SERIES C

Oct 2023

$30m

SERIES B

Total funding: $207.5m

Company benefits

Unlimited PTO, plus 12 national holidays
16 weeks paid parental leave, for all employees
Flexible working hours — we care more about what you accomplish than what specific hours you’re working
Remote work environment
Equity for all new employees
Generous equipment budget for your home office setup ($1600)
Opportunity to work and grow with talented individuals, and have ownership and impact at a high growth startup

Company values

The obstacle is the way
Choose action
Taste good things
Help others win
Honor humanity

Company HQ

Downtown, Pittsburgh, PA

Articles

CHRISTUS Health Reduces Cognitive Load on Clinicians by 78% with Abridge

MemorialCare Partners with Abridge, Poised to Transform Healthcare Delivery

Abridge announces partnership with Northern California health system

Abridge to Deliver Generative AI Microservices to Millions of Clinicians and Their Patients With NVIDIA

Leadership

Shivdev Rao

(CEO)

Alongside their work as a practising Cardiologist at the University of Pittsburgh Medical Center, they also served as Physician Advisor in Residence and ultimately EVP at UPMC Enterprises; co-founded DocDok; and worked as a co-architect on a healthcare project at the Kauffman Foundation.

Sandeep Konam

(CTO)

Completed an MS in Robotics at Carnegie Mellon, then served as Senior Product Manager at UPMC Enterprises. Has delivered guest lectures at Carnegie Mellon, Stanford, and the University of Pittsburgh.

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