Analytics Data Engineer, Abridge
$177.5-210k
+ Equity Grants
Powering deeper understanding in healthcare through purpose-built AI
Open for applications
Powering deeper understanding in healthcare through purpose-built AI
101-200 employees
Open for applications
$177.5-210k
+ Equity Grants
101-200 employees
Company mission
To power a deeper understanding in healthcare.
Role
Who you are
- 5+ years of experience in Analytics Engineering or Data Engineering with a focus on data modeling and debugging
- Deep expertise in DBT and a strong understanding of dimensional modeling, testing, and documentation best practices
- Highly proficient in SQL and at least one general-purpose programming language (e.g., Python, Java, Scala)
- Experienced in debugging complex data issues, tracing them through multiple layers of ETL and instrumentation logic
- Familiar with modern data stack and cloud platforms (GCP, AWS, or Azure) and their data services
- Comfortable working cross-functionally and communicating findings to technical and non-technical stakeholders
- Strong sense of ownership, detail orientation, and a commitment to delivering reliable, high-quality data products
- Thrive in a fast-paced environment and can balance multiple priorities with a focus on impact
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 take end-to-end ownership of our analytics data models and play a key role in debugging data issues and improving instrumentation to drive business decisions and product analytics
- Own and develop robust, scalable DBT data models that power analytics and downstream use cases
- Proactively identify, debug, and resolve data quality issues through detailed investigation and cross-functional collaboration
- Understand business logic behind the collected data, identify anomalies and refine instrumentation for improved data quality
- Manage and optimize OLAP databases, ELT pipelines, and internal data tools
- Work closely with engineers, analysts, and product managers to deliver trustworthy, documented, and well-modeled datasets
- Monitor data pipelines and set up alerts to detect and resolve anomalies quickly
- Contribute to data infrastructure optimization focused on throughput, latency, and reliability
- Create and maintain detailed documentation for data models, transformations, and dependencies
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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