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Data Engineer at Abridge | San Francisco

AbridgeSF Office
On-site Full-time

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Experience Level

Mid to Senior

Qualifications

QualificationsTo excel in this role, candidates should possess strong analytical skills, a passion for data, and the ability to work within a collaborative team environment. A solid understanding of data engineering principles and the ability to adapt to evolving technologies are essential.

About the job

About Abridge

Founded in 2018, Abridge is dedicated to enhancing understanding in healthcare. Our innovative AI-driven platform is designed specifically for medical conversations, streamlining clinical documentation and allowing healthcare professionals to concentrate on what truly matters—their patients.

Our enterprise-grade technology converts patient-clinician discussions into structured clinical notes in real-time, with robust EMR integrations. Leveraging our unique Linked Evidence and auditable AI, we provide the only solution that aligns AI-generated summaries with factual data, enabling providers to trust and verify outputs efficiently. As trailblazers in generative AI for healthcare, we are establishing industry benchmarks for the ethical integration of AI across health systems.

We are a dynamic team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers committed to empowering individuals and making healthcare more intelligible. Our offices are located in San Francisco's Mission District, New York's SoHo neighborhood, and Pittsburgh's East Liberty.

The Role

Join our rapidly expanding US-based Data Engineering team as a Data Engineer and play a pivotal role in revolutionizing the medical field with our generative AI products. In this essential position, you will design and optimize large-scale data infrastructure to inform business strategies and drive machine learning research.

What You’ll Do

  • Develop and sustain scalable data services, pipelines, and storage solutions for the ingestion of unstructured application data for machine learning training and evaluation.

  • Create and oversee OLAP databases, ELTs, and general data tools to support analytics, business decision-making, and product features.

  • Collaborate closely with frontend and backend engineers, product managers, and analysts.

  • Enhance data infrastructure to improve system throughput, latency, and reliability.

  • Identify and resolve issues detected through data operation monitors, tools, and reports.

  • Design data integration solutions and establish a data quality framework.

What You’ll Bring

  • 5+ years of experience in Data Engineering or Backend Engineering focused on data systems.

  • Proficiency in at least one general-purpose programming language (e.g., Python, Java, Scala) and SQL (any variant).

  • Experience with at least one modern cloud service provider (GCP, AWS, Azure, etc.).

About Abridge

Abridge is at the forefront of healthcare innovation, leveraging AI to enhance communication between patients and clinicians. Our robust technology inspires trust and efficiency in clinical settings.

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