Data Engineer, Abridge
$210-248k
+ Equity Grants
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
Be an early applicant
$210-248k
+ Equity Grants
101-200 employees
Company mission
To power a deeper understanding in healthcare.
Role
Who you are
- 5+ years of experience in Data Engineering or Analytics 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
- Skilled in debugging data inconsistencies through deep analysis and implementing corrections in ETL/business logic layers
- Deep knowledge of modern data infrastructure best practices
- 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 manage OLAP databases, ELTs and general data tooling for analytics , business decisions and products features
- Understand business logic behind the collected data, identify anomalies and refine instrumentation for improved data quality
- 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
- Design and maintain data documentations
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
Company
Funding (last 2 of 6 rounds)
May 2025
$300m
SERIES E
Feb 2025
$250m
SERIES D
Total funding: $757.5m
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 HQ
Downtown, Pittsburgh, PA
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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