Data Engineer (Analytics/Modeling)
Core
Building and evolving a modern, high-performance data platform that powers analytics across a global marketplace ecosystem by transforming legacy data workflows into scalable, production-grade data models.
Role type
Senior Data Engineer (Analytics/Modeling)
Builds
Scalable data models, ELT pipelines, and trusted datasets for product, operational, and hiring insights.
Domain
Global marketplace ecosystem, cloud data warehousing
Deliverable
production ML models | product features
Required skills
SQL, Python, Snowflake, dbt, AWS (S3, EC2), data quality engineering, pipeline orchestration
Preferred skills
Dagster, Airflow, BI tools (Tableau, Looker, Power BI)
Technologies
Snowflake, dbt, AWS, Dagster, Airflow, Tableau, Looker, Power BI
Responsibilities
Design, build, and maintain scalable data models and pipelines; Transform legacy ETL workflows into modern ELT processes; Develop and optimize complex SQL queries; Build Python-based data workflows and automation scripts; Implement and enforce data quality frameworks; Collaborate with cross-functional teams to ensure analytics datasets are accurate and production-ready; Support integration of data models with BI tools.
Seniority
Mid-Senior, hands-on IC
