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7 дней назад

Senior Software Engineer (Data Engineering)

143 000 - 215 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Senior Software Engineer (Data Engineering): Building and operating scalable self-service platform capabilities for hirify.global’s enterprise data ecosystem with an accent on cloud-native architecture, API design, and data delivery workflows. Focus on developing production-grade systems using React, TypeScript, Python, and Kubernetes to power analytics and AI/ML workloads at scale.

Location: San Diego, CA, United States

Salary: $143,000 - $215,000

Company

hirify.global is a global leader in connected devices and digital health, dedicated to transforming lives through innovative solutions for sleep, breathing, and respiratory care.

What you will do

  • Design and maintain scalable self-service data platform capabilities for ingestion, orchestration, and transformation.
  • Develop modern frontend platform experiences using React and TypeScript.
  • Build backend platform services and APIs using Python and cloud-native architectures.
  • Lead the evolution of the platform toward a cloud-native, Kubernetes-first architecture on AWS.
  • Implement CI/CD automation, observability, and infrastructure-as-code best practices using Terraform.
  • Collaborate with cross-functional teams including data, analytics, and ML engineers to deliver high-impact platform capabilities.

Requirements

  • 8+ years of professional software or platform engineering experience.
  • Strong proficiency in React, TypeScript, and modern frontend architecture.
  • Extensive backend development experience using Python and API-driven services.
  • Hands-on experience with AWS, Kubernetes, Docker, and Terraform.
  • Deep expertise in enterprise-scale relational and NoSQL databases (e.g., Snowflake, PostgreSQL, DynamoDB).
  • Strong understanding of distributed systems, microservices, and event-driven design patterns.

Nice to have

  • Experience with orchestration frameworks like Airflow or Dagster.
  • Familiarity with streaming systems using Kafka, Flink, or Kinesis.
  • Experience with modern data technologies such as Spark, Databricks, or Delta Lake.
  • Knowledge of AI-assisted development lifecycle (AI-DLC) tools.
  • Prior experience in healthcare or regulated enterprise environments.

Culture & Benefits

  • Comprehensive medical, vision, dental, and life insurance.
  • Retirement planning with 401(k) and Employee Stock Purchase Plan (ESPP).
  • Flexible Time Off (FTO) policy plus 11 paid holidays and 3 floating days.
  • Support for work-life balance including primary and secondary caregiver leave.
  • Tuition assistance and professional growth opportunities.
  • Diverse and inclusive culture focused on innovation and excellence.

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