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Senior Software Engineer (Data)

Abridge · San Francisco, United States

External listingfull-time24 days ago

About The Role

Join our innovative team as a Senior Data Engineer, where you will play a crucial role in building and optimizing large-scale data infrastructure to drive business decisions and machine learning research. You will work closely with frontend and backend engineers, product managers, and analysts, and have the opportunity to make a significant impact in a high-growth startup environment. Enjoy flexible working hours, unlimited PTO, and a remote work environment, along with equity for all new employees and a generous equipment budget for your home office setup.

  • Construire et optimiser l'infrastructure de données à grande échelle pour soutenir les décisions commerciales et la recherche en apprentissage automatique.
  • Développer et maintenir des services de données évolutifs, des pipelines et des solutions de stockage pour le retour des données d'application non structurées.
  • Collaborer avec une équipe d'ingénieurs frontend et backend, de chefs de produit et d'analystes pour améliorer l'infrastructure de données.
  • 8+ years of experience in Data Engineering or Backend Engineering with a focus on data systems
  • Deep knowledge of modern data infrastructure best practices
  • Proficient in at least one general purpose programming language (e.g., Python, Java, Scala) and SQL (any variant)
  • Familiarity with the deploying ML models at scale a bonus
  • Ability to prioritize amidst changing priorities in a fast moving environment
  • Experience in building data products that are well-modeled, documented and easy to understand and maintain
  • Experience in building systems that manage the ingest, transformation, and management of both structured and unstructured data types
  • Experience with distributed systems and different distributed processing frameworks
  • Proficiency with at least one modern cloud provider (GCP, AWS, Azure) and accompanying data services
  • Experience with Terraform, Kubernetes, and containerization technologies

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