about 6 hours ago
Remote, United StatesSenior
Base Salary
$170k - $200k/yr
Responsibilities
- Design and implement scalable, high-performance data pipelines.
- Build and maintain APIs for secure data integrations.
- Work with event-driven and batch processing architectures.
- Drive clean API design and integration patterns.
- Implement observability and monitoring for data systems.
- Optimize data flows and transformations in a cloud-native environment.
- Collaborate with teams to create a flexible integration platform.
Requirements
- 5+ years of experience in data engineering or software engineering.
- Strong proficiency in Python.
- Experience with API-based ETL and handling REST, GraphQL, and Webhooks.
- Proficiency in SQL and BigQuery.
- Experience with orchestration frameworks like Airflow.
- Familiarity with containerization tools such as Docker and Kubernetes.
- Ability to balance rapid development with long-term platform stability.
Benefits
- Equity package and comprehensive healthcare benefits.
- Flexible PTO policy and 12 company-paid holidays.
- 12 weeks of paid parental leave.
- $500 work-from-home stipend.
Tech Stack
Categories
BackendData Engineering