Data Engineer

Role overview

The Data Engineer role focuses on building data pipelines that move, transform, and serve information used across analytics and product surfaces. It is a hands-on engineering position working with modern data infrastructure to keep data reliable and accessible to the rest of the organization.

Responsibilities

- Design, build, and maintain data pipelines that ingest and transform data at scale - Develop and evolve data models, schemas, and transformation logic - Monitor pipeline reliability and data freshness, and resolve issues quickly - Partner with analytics, product, and engineering teams on data access and tooling - Improve pipeline performance, cost efficiency, and operational practices

Requirements

- Hands-on experience building production data pipelines - Strong SQL skills and proficiency in a programming language such as Python or Scala - Familiarity with cloud data warehousing or lakehouse environments - Understanding of orchestration and workflow scheduling tools - Care for data quality, observability, and clear documentation