Data Engineer

🕒 January 28

🏢🏡 San Francisco – Hybrid

💵 $185k - $217k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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Abridge

WebsiteLinkedInAll Job Openings

11 - 50 employees

⚕️ Healthcare Insurance

🤖 Artificial Intelligence

☁️ SaaS

Healthcare Insurance • Artificial Intelligence • SaaS

Abridge is a leading AI company specializing in transforming clinical conversations into structured clinical notes in real-time. By integrating directly with healthcare systems like Epic, Abridge's generative AI platform offers accurate, multilingual summaries and significantly reduces documentation time for clinicians. The platform is highly trusted for improving clinician experience without compromising safety or efficacy. Abridge is dedicated to supporting healthcare systems with innovative AI science to enhance efficiency and is spearheaded by a team of healthcare professionals and AI scientists committed to responsible AI development and continuous innovation.

📋 Description

• 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.

🎯 Requirements

• 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 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.

🏖️ Benefits

• 14 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees • Medical, Dental, and Vision coverage for all full-time employees and their families. • Generous paid parental leave for all full-time employees. • Resources and financial support to help you build your family. • Contribution matching to help invest in your future. • Tax free funds for personal device usage. • Access to Flexible Spending Accounts (FSA) and Commuter Benefits. • Monthly contributions for fitness, professional development, coworking, and more. • Dedicated access to therapy and coaching to help you reach your goals. • Paid Sabbatical Leave after 5 years of employment. • Competitive compensation and equity grants for full time employees.