remoteonsite
Staff Data Engineer, Data & AI - Levi Strauss
Data Engineer
Senior data engineer leading the design and implementation of enterprise‑wide analytics platforms, building scalable data pipelines and AI‑ready data models using Python, Spark, Kafka, AWS and Snowflake.
About the role
Key Responsibilities
- Architect and develop a next‑generation data platform that serves as the analytical "brain" for enterprise decision‑making.
- Design, build, and maintain high‑performance, scalable data pipelines using Python, Apache Spark, and Kafka.
- Implement robust data ingestion, transformation, and orchestration workflows with Apache Airflow on AWS.
- Collaborate with data scientists, product owners, and business stakeholders to define data models and ensure data quality, governance, and security.
- Drive adoption of modern data warehousing solutions such as Snowflake, optimizing storage and query performance.
Requirements
- 5+ years of hands‑on experience building large‑scale data pipelines and platforms in a cloud environment (AWS preferred).
- Strong proficiency in Python and Spark for batch and streaming data processing.
- Deep knowledge of event streaming technologies (Kafka) and workflow orchestration (Airflow).
- Experience designing dimensional and relational data models and working with Snowflake or similar cloud data warehouses.
- Proven ability to lead technical initiatives, mentor engineers, and communicate complex concepts to cross‑functional teams.
Skills
pythonapache sparkkafkaawssnowflakeairflow