Data Engineer

The role

You will build and operate data pipelines and models that power internal decision-making on the Snowflake AI Data Cloud. You will work alongside senior engineers and act as customer zero to learn the platform.

What you will do

• Build and maintain production data pipelines and models on Snowflake
• Develop dbt models with tests and documentation
• Build and support Apache Airflow DAGs to orchestrate Snowflake workloads
• Ingest data from enterprise sources using Snowpipe, Snowpark, and dynamic tables
• Apply data quality checks and monitor Snowflake warehouse cost and performance
• Act as an internal customer zero and share feedback with Product teams
• Take part in Agile ceremonies
• Partner with stakeholders and senior engineers to turn requirements into technical tasks

Required qualifications

• Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent practical experience
• 3+ years of hands-on experience building data pipelines or data models in a production environment
• Strong SQL and working Python skills, including basic query tuning and schema design
• Hands-on experience with a cloud data warehouse
• Working knowledge of dbt and an orchestration tool such as Apache Airflow
• Understanding of dimensional modelling concepts
• Clear written and verbal communication
• Collaborative, curious approach to learning
• Ownership mindset

Nice to have

• Exposure to Snowflake Cortex AI functions or other LLM APIs for data enrichment
• Experience preparing data for ML model training or feature engineering
• Familiarity with streaming ingestion such as Kafka or Snowpipe Streaming
• Experience with AWS, Azure, or GCP, including infrastructure-as-code
• Awareness of data contracts or schema registry tooling

About the company

Snowflake is about empowering enterprises to achieve their full potential. The culture focuses on impact, innovation, and collaboration.