Backend Engineer - Metrics Infrastructure (Analytics) at Abridge

Austin, Texas, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Autonomous Vehicles, RoboticsIndustries

Requirements

Python in production, including async (e.g., asyncio, aiohttp, FastAPI)
Strong SQL (JOINs, window functions, CTEs); ability to read plans and speed up slow queries
Data structures & algorithms—know when O(n log n) matters and choose the right structures
Experience with databases: PostgreSQL, ClickHouse; understanding OLAP vs. OLTP trade-offs
Workflow orchestration experience (Airflow / Argo / Prefect / Dagster—any is fine)
Data libs & validation: NumPy, pandas, Pydantic (or equivalents)
Containers & orchestration: Docker, Kubernetes
Experience building web services (Django / FastAPI / Flask—stack flexible)
Authorized to work in the U.S. (no relocation sponsorship or remote work options)

Responsibilities

Own the metrics platform: clear schemas, storage/layouts for efficient inserts and fast reads, simple versioning
Build and maintain the framework for writing/running metrics (interfaces, examples, local run, CI/compat checks)
Create a test system for metrics and pipelines (unit / contract / regression on synthetic and sampled data)
Operate the compute and storage paths in production; monitor, debug, and keep the system stable and cost-aware
Partner with metric authors and with development/analytics/QA to plan changes and land them safely
Design, develop, and operate the platform for metrics: data models and storage, scalable pipelines, and a developer-friendly framework for writing, testing, and shipping metrics
Collaborate closely with metric authors and metric users (development, analytics, QA) to ensure reliable end-to-end delivery of metric results

Skills

Python

asyncio

aiohttp

FastAPI

SQL

JOINs

window functions

CTEs

PostgreSQL

ClickHouse

OLAP

OLTP

data structures

algorithms

Abridge

AI platform for clinical documentation automation

About Abridge

Abridge provides a platform that changes how medical conversations are documented in healthcare settings. Its main product allows healthcare providers to record patient visits, which are then transformed into organized clinical documents. This helps doctors and other healthcare professionals save time on paperwork, allowing them to concentrate more on caring for their patients. Abridge stands out from its competitors by focusing specifically on the needs of healthcare providers, payers, and pharmaceutical companies, offering a solution that improves both documentation efficiency and patient outcomes. The goal of Abridge is to enhance the quality of patient care while making the documentation process easier for healthcare professionals.

Pittsburgh, PennsylvaniaHeadquarters

2018Year Founded

$201.8MTotal Funding

SERIES_CCompany Stage

AI & Machine Learning, HealthcareIndustries

51-200Employees

Benefits

Medical insurance

Dental Insurance

Vision Insurance

Unlimited Paid Time Off

Equity

Flexible Spending (FSA) & Health Savings (HSA) Accounts

Learning and Development budget

401k Plan

Paid Parental Leave

Flexible working hours

Home Office Budget

Sabbatical Leave

Risks

Rapid expansion may strain Abridge's resources and affect service quality.

Integration challenges with EHR systems could disrupt workflows and data consistency.

Data privacy concerns in AI applications may lead to regulatory scrutiny.

Differentiation

Abridge transforms medical conversations into actionable clinical documentation using AI.

The platform supports over 28 languages and 50+ medical specialties.

Abridge's integration with EMR systems enhances clinician efficiency and patient care.

Upsides

Abridge's partnership with Mayo Clinic expands its reach to over 1 million patients.

The $150 million Series C funding accelerates AI technology development and integration.

Abridge's multilingual capabilities improve communication in diverse patient populations.

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