Senior Software Engineer, Data

Abridge
San Francisco
Workplace: RemoteFull timeUSD 185,000 - 217,000 annuallyFunction: QA, Test & Release EngineeringExperience: 5+ yearsSkills: ["Collaboration","Prioritization","Problem-solving"]

Data Engineer role building and optimizing large-scale data infrastructure to enable ML research and data-driven decisions in healthcare. You will develop scalable data services, manage OLAP/ELT pipelines, work with engineers and product teams, and improve throughput, latency, and reliability while ensuring data quality and integrations for ML workloads.

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Abridge
Abridge
7 months ago

Senior Software Engineer, Data

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Closed

Job Summary

Data Engineer role building and optimizing large-scale data infrastructure to enable ML research and data-driven decisions in healthcare. You will develop scalable data services, manage OLAP/ELT pipelines, work with engineers and product teams, and improve throughput, latency, and reliability while ensuring data quality and integrations for ML workloads.
Location: San Francisco
Workplace: Remote
Employment Type: Full time
Job Function: QA, Test & Release Engineering

Key Responsibilities

  • •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.

Pay and Benefits

Salary: USD 185,000 - 217,000 annually
Equity and Bonus:Equity
Perks:Health Insurance401kEquityRemote WorkLearning Budget

Key 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:5+ yearsHealthcareAiHealthtech
Skills:CollaborationPrioritizationProblem-solving
Languages:English
Tech Stack:PythonJavaScalaSQLGCPAWSAzureTerraformKubernetesDockerELTOLAP

Company Brief

Abridge
Builds an enterprise-grade generative-AI platform that captures and summarizes patient–clinician conversations in real time to produce structured clinical documentation, integrated with EMRs to reduce clinician documentation burden and enable clinical and revenue workflows.
Industry: HealthTech
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2018
Glassdoor
Glassdoor: 4.7
WebsiteLinkedInGlassdoor