2 months ago
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
Data Engineering
About Abridge
Abridge builds an AI platform that converts patient–clinician conversations into EHR-ready clinical documentation for hospitals and clinicians. The enterprise SaaS includes automatic speech recognition and clinical note generation validated across 28+ languages, and integrates with major EHR systems. Founded in 2018 and headquartered in San Francisco, the privately held company sells to U.S. health systems, hospitals, and clinics.