About the Role
We're hiring a Senior Data Engineer to work on our Data Infrastructure Team. This team is responsible for building and maintaining the Data Platform, a comprehensive set of tools and infrastructure used daily by every data scientist and ML engineer in our company.
Responsibilities
- Job scheduling and orchestration for data pipelines.
- Deployment and management of BI tools.
- Real-time analytics infrastructure (ClickHouse, AWS Lambda, Cube.js, and related tooling).
- Real-time log ingestion and processing, including data compliance.
- Core data services (e.g., Kubernetes, Ray, metadata services) and enterprise-wide observability solutions (based on ClickHouse and OpenTelemetry).
Requirements
We are seeking an engineer with at least 4 years of experience who possesses strong programming skills (ideally in Python), and expertise in big data engineering, web services, and cloud platforms (ideally AWS). We are looking for someone eager to build diverse components and drive the evolution of our platform while working closely with our users. Excellent English communication skills and robust computer science background is a strong requirement.
Benefits
- Unlimited vacation time – we strongly encourage all of our employees take at least 3 weeks per year
- Fully remote team – choose where you live
- Work from home stipend! We want you to have the resources you need to set up your home office
- Apple laptops provided for new employees
- Training and development budget for every employee, refreshed each year
- Maternity & Paternity leave for qualified employees
- Work with smart people who will help you grow and make a meaningful impact
- This position has a base salary range between $80k and $120k USD. The offer varies on many factors including job related knowledge, skills, experience, and interview results.
- Regular team offsites to connect and collaborate
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