Backend & Data Engineer
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Key skills for this role
About the Role
Raw Ventures seeks a Backend & Data Engineer to build data pipelines, backend services, and infrastructure for AI-powered products. The role requires 5+ years of production backend experience, strong Python, database design, and experience with modern data tooling.
Key Skills for This Role
Responsibilities
- Design and build data lakes, warehouses, and backend systems
- Build data ingestion services, APIs, ETL/ELT pipelines, and workflow orchestration
- Design relational and analytical databases (Postgres, ClickHouse, BigQuery, DuckDB or similar)
- Build infrastructure for LLM applications, RAG systems, embeddings, and retrieval pipelines
- Deploy and operate production systems using Docker, Kubernetes, CI/CD, and cloud infrastructure
- Work directly with founders and product teams on data intensive and AI driven products
Requirements
- 5+ years building production backend systems
- Strong Python
- Strong database design and data modelling experience
- Experience building and operating data pipelines at scale
- Experience with modern data tooling (Airflow, Dagster, dbt, Kafka, Spark, etc.)
- Practical experience with LLM systems, RAG, vector databases, or AI infrastructure
- Cloud infrastructure experience (AWS, GCP, or Azure)
- Russian fluent or native
Full Job Posting
The Role
- You will own the data and backend layer behind AI products and internal platforms.
- This is not a pure ML role. We need someone who enjoys designing databases, building ingestion systems, operating data infrastructure, and shipping production services.
Stack
- Python • PostgreSQL • ClickHouse • Airflow / Dagster • dbt • AWS / GCP • Docker • Kubernetes • OpenAI • Anthropic • Vector Databases
What you'll do
- Design and build data lakes, warehouses, and backend systems
- Build data ingestion services, APIs, ETL/ELT pipelines, and workflow orchestration
- Design relational and analytical databases (Postgres, ClickHouse, BigQuery, DuckDB or similar)
- Build infrastructure for LLM applications, RAG systems, embeddings, and retrieval pipelines
- Deploy and operate production systems using Docker, Kubernetes, CI/CD, and cloud infrastructure
- Work directly with founders and product teams on data intensive and AI driven products
What we expect
- 5+ years building production backend systems
- Strong Python
- Strong database design and data modelling experience
- Experience building and operating data pipelines at scale
- Experience with modern data tooling (Airflow, Dagster, dbt, Kafka, Spark, etc.)
- Practical experience with LLM systems, RAG, vector databases, or AI infrastructure
- Cloud infrastructure experience (AWS, GCP, or Azure)
- Russian fluent or native (required)
Nice to have
- Go • TypeScript • ClickHouse • BigQuery • DuckDB • Kafka • Spark • ML frameworks • Forecasting • Recommendation Systems • Time Series Data • Geospatial Data • Startup Experience
What we offer
- Fully remote
- Direct access to founders and investors
- Work across multiple AI products and companies
- High ownership and autonomy
- Exposure to both engineering and venture investing
- Competitive compensation, discussed individually
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