Senior Software Engineer (Data Engineering)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Software Engineer (Data Engineering): Building and operating scalable self-service platform capabilities for ’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
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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