Data Engineer

At Snowflake, we are powering the era of the agentic enterprise.

We seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work.

As a Data Engineer at Snowflake, you will help build and operate the data pipelines and models that power internal decision-making on the Snowflake AI Data Cloud.

Responsibilities

• Build and maintain production data pipelines and models on Snowflake, from ingestion through transformation and consumption
• Develop dbt models with tests and documentation that follow team standards and governance practices
• Build and support Apache Airflow DAGs that orchestrate Snowflake workloads reliably
• Ingest data from enterprise sources using Snowpipe, Snowpark, and dynamic tables
• Apply data quality checks and help monitor Snowflake warehouse cost and performance
• Act as an internal customer zero, sharing feedback on Snowflake features with Product teams
• Take part in Agile ceremonies including stand ups, sprint planning, reviews, and retrospectives
• Partner with stakeholders and senior engineers to turn well-defined requirements into scoped technical tasks

Requirements

• 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, ideally Snowflake
• Working knowledge of dbt and an orchestration tool such as Apache Airflow
• Understanding of dimensional modelling concepts
• Clear written and verbal communication and a collaborative, curious approach to learning
• Ownership mindset: you follow problems through to resolution and ask for help when needed

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