remote
Data Engineer II - The Walt Disney Company
Data Engineer
Mid‑level data engineer responsible for designing, building, and maintaining scalable data pipelines and warehouses using Python, SQL, Airflow, Snowflake, and AWS services.
About the role
Key Responsibilities
- Design, develop, and maintain robust ETL pipelines to ingest and transform large‑scale media and sports data.
- Build and optimize data models in Snowflake to support analytics, reporting, and machine‑learning use cases.
- Implement workflow orchestration using Apache Airflow, ensuring reliability and observability of data jobs.
- Collaborate with data scientists, product managers, and engineers to define data requirements and deliver timely solutions.
- Monitor performance, troubleshoot issues, and continuously improve data infrastructure on AWS.
Requirements
- 3+ years of professional experience in data engineering or related fields.
- Strong proficiency in Python and SQL for data manipulation and pipeline development.
- Hands‑on experience with cloud platforms, preferably AWS (S3, Redshift, Lambda, etc.).
- Proven experience building data pipelines with Apache Airflow and managing data warehouses such as Snowflake.
- Solid understanding of data modeling, ETL best practices, and performance optimization techniques.
Skills
pythonsqlsnowflakeaws