Base Salary
$211k - $248k/yr
Responsibilities
- Build and maintain scalable data services, pipelines, and storage solutions for unstructured application data used in ML training and evaluation.
- Build and manage OLAP databases, ELTs, and data tooling for analytics, business decisions, and product features.
- Collaborate with frontend and backend engineers, product managers, and analysts.
- Optimize data infrastructure for throughput, latency, and reliability.
- Investigate and correct issues identified through data-operation monitors, tools, and reports.
- Design data integrations and data quality frameworks.
Requirements
- 8+ years of experience in Data Engineering or Backend Engineering focused on data systems.
- Proficiency in at least one general-purpose programming language such as Python, Java, or Scala, plus SQL.
- Proficiency with at least one modern cloud provider such as GCP, AWS, or Azure and its accompanying data services.
- Experience building systems that ingest, transform, and manage structured and unstructured data.
- Deep knowledge of modern data infrastructure best practices.
- Experience with distributed systems and distributed processing frameworks.
- Experience with Terraform, Kubernetes, and containerization technologies.
- Experience building well-modeled, documented, understandable, and maintainable data products.
- Ability to prioritize amid changing priorities in a fast-moving environment.
- Familiarity with deploying ML models at scale is a bonus.
Benefits
- 14 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees.
- Medical, dental, and vision coverage for full-time employees and their families.
- Monthly HSA contributions for employees enrolled in a High Deductible Health Plan.
- Generous paid parental leave for full-time employees.
- Family-forming resources and financial support.
- 401(k) contribution matching.
- Tax-free personal device allowance.
- Flexible Spending Accounts and commuter benefits.
- Monthly Lifestyle Wallet contributions for fitness, professional development, coworking, and more.
- Access to therapy and coaching through mental health support.
- Paid sabbatical leave after five years of employment.
- Competitive compensation and equity grants for full-time employees.
- US-based team with offices in San Francisco, New York, and Pittsburgh; specific remote or in-office requirements are not stated.
Categories
About Abridge
Founded in 2018, Abridge is the first AI-native clinician intelligence platform organized around the patient, built for clinicians, and designed to help health systems coordinate the clinical, financial, and evidence-based decisions for every moment of care. Powered by purpose-built AI for healthcare, Abridge connects patients, providers, payers, and life sciences companies. This year, the platform will support more than 100 million patient-clinician conversations across 300 of the largest and most complex health systems in the U.S. With deep EHR integration, Abridge’s automatic speech recognition and note generation has been validated to capture encounters in 28+ languages across specialties and care settings. Abridge is setting the industry standard for the responsible deployment of AI across health systems. Features like Linked Evidence map AI-generated clinical documentation to source data, helping clinicians quickly trust and verify the output. Abridge was awarded Best in KLAS for Ambient AI in 2025 and 2026, in addition to other accolades, including TIME Best Inventions of 2024 and 2025, CNBC Disruptor 2025, and Fast Company’s Most Innovative Companies 2025.