Key skills
BigQueryETLPythonSQLTypeScriptELTAnalyticsSnowflake
About this role
Role Overview
- Design, build, and maintain scalable, fault-tolerant data pipelines for core business and product data.
- Ingest data from diverse sources including APIs, databases, event streams, and third-party services.
- Design and manage data models and storage layers that support analytics and downstream use cases.
- Partner with analytics, product, and engineering teams to deliver clean, well-documented datasets.
- Implement monitoring, logging, and alerting to ensure pipeline reliability, performance, and cost efficiency.
- Enforce data governance best practices.
Requirements
- 3+ years of experience as a Data Engineer, data-heavy Backend Engineer, or similar role.
- Strong programming skills in Python and/or TypeScript, with solid SQL proficiency.
- Good understanding of data modeling, ETL/ELT concepts, and analytics workflows.
- Hands-on experience with data warehouses (e.g. BigQuery, Snowflake).
- Experience building and operating production data pipelines.
Tech Stack
- BigQuery
- ETL
- Python
- SQL
- TypeScript
Benefits
- Competitive compensation and strong growth opportunities
- Build and own data systems that operate at real scale
- Work on high-impact, business-critical data use cases
- High-ownership role with autonomy and trust
- Flat structure
- execution and results matter more than titles