A
Senior Data Platform Engineer
PresencialTiempo completoIngeniería de datosCybersecurity
Join an early-stage cloud security company and own the data infrastructure powering its platform. You will build scalable backend systems, cloud ingestion pipelines, and reliable data products across AWS, Azure, and GCP.
Responsabilidades
- Design and build backend systems that process complex cloud infrastructure data at scale
- Own storage architecture, partitioning, query optimization, and incremental loading patterns
- Build and maintain reliable ETL and ELT pipelines for clean, modeled product data
- Create ingestion pipelines that normalize AWS, Azure, and GCP data into a consistent internal model
- Manage backfills, historical data loading, and aggregation layers to ensure data completeness
- Partner with Product and Research to turn security insights into usable capabilities
- Improve the codebase, tooling, and engineering practices
Requisitos
- At least 5 years of hands-on software development experience, including substantial work on data-intensive systems
- Strong backend development skills; Node.js, TypeScript, Python, or Golang preferred
- Production experience building data pipelines, ETL processes, and data models at scale
- Experience with AWS, Azure, or GCP, preferably at the API and data-ingestion level
- Strong understanding of system design, data structures, and performance trade-offs
- Clear communication and a strong sense of ownership
Se valora
- Experience with Redshift, BigQuery, or Snowflake
- Experience working closely with data teams
- Experience using AI tools in software development
Beneficios
- Strong salary and meaningful equity
- Significant ownership in an early-stage company
- AI-native engineering environment
- Opportunity to work with experienced security and product leaders