AI Data Engineer
New
United StatesFull-Time
Salary not disclosed
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Job Details
- Required Skills
- AWSPythonSQLGitSnowflakeCI/CDData modelingLooker
Requirements
- Strong proficiency in Python and SQL.
- Experience building end-to-end data solutions.
- Experience with Snowflake or a similar cloud data warehouse.
- Working knowledge of AWS (S3, Lambda, EventBridge).
- Understanding of data modeling and structuring data.
- Familiarity with Git and basic CI/CD practices.
- Active use of AI tools in development workflows (e.g., Claude Code, Cursor, Copilot).
- Hands-on exposure to AI workflows (embeddings, vector databases, RAG systems).
- Looker or similar BI/semantic layer experience.
Responsibilities
- Build and own end-to-end data pipelines in Snowflake from raw ingestion to serving layers.
- Partner with ML engineers and data scientists to maintain AI-specific data infrastructure.
- Consolidate fragmented data sources into automated pipelines.
- Design scalable data models and marts for analytics and ML.
- Support rapid iteration on new data products.
- Collaborate with analytics, data science, and product teams.
- Monitor data quality and optimize for cost and performance.
- Employ AI technologies to enhance business processes.
- Use AI coding tools to accelerate development.
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