Senior Data Systems Engineer
Required skills
Excellent verbal and written communication skills in English, and ability to work effectively in an asynchronous, remote environment Capable of working independently and managing priorities in a startup environment
Preferred skills
At least 4 years of professional software development experience, with a strong proficiency in Python or a similar backend/data-oriented language Experience designing and implementing scalable data ingestion and processing pipelines Experience with relational and analytical databases (PostgreSQL, ClickHouse, or similar) Experience with containerization technologies such as Docker and/or Kubernetes
Technologies
Backend: Dagster, Polars
Databases
PostgreSQL, ClickHouse
DevOps
Kubernetes, Docker, Terraform
Version Control & CI/CD
GitHub, GitHub Actions
Responsibilities
Build and maintain multi-cloud data integrations (AWS, Azure, GCP, OCI, Kubernetes) Design and implement FinOps features like budgeting, anomaly detection, forecasting, and cost allocation Optimize data processing pipelines and query performance at TB-scale Work directly with enterprise clients to understand requirements and deliver solutions Own features end-to-end - from design to production reliability
Seniority
Senior
Domain
FinOps, multi-cloud cost governance