We are looking for a Mid-level Data Engineer to work closely with the platform architect to build and scale a data platform from the ground up.
In this role:
- The architecture and high-level design are defined by the Lead.
- You are responsible for implementing, refining, and operating data pipelines in detail.
This is a hands-on engineering role, not analytics-only, not dashboard-focused.
Responsibilities
- Implement and maintain data pipelines end-to-end (raw → standardized → curated).
- Write production-grade Python + SQL for ETL/ELT (batch-first, incremental when needed).
- Handle schema changes, edge cases, retries, logging, and pipeline reliability.
- Optimize for correctness, performance, and cost.
- Work closely with the Lead (architecture provided) — you execute the details.
