Related skills
redshift snowflake sql python databricks📋 Description
- Build and maintain Databricks/Spark data pipelines for analytics and AI.
- Develop and evolve data models for reporting, experiments, and workflows.
- Implement monitoring, alerts, and testing for data quality and lineage.
- Support workflow orchestration with Databricks Jobs/DBT at scale.
- Contribute to pipelines and tooling for RAG, vector integrations, embeddings.
- Design and optimize GenAI data pipelines in Databricks for AI apps at scale.
🎯 Requirements
- 2-3 years in data engineering; building large-scale data platforms.
- Hands-on with modern data stack: Databricks, DBT, Redshift, RDS, Snowflake.
- Proficiency in Python and SQL; robust ETL/ELT pipelines.
- Experience orchestrating data workflows at scale and enabling ML/AI use cases.
- Strong data modeling, performance optimization, and cost-efficient infra design.
- Located in and authorized to work in the United States.
🎁 Benefits
- Flexible, employee-led remote model.
- Professional development stipend.
- Comprehensive health and parental leave plans.
- Accessibility accommodations during recruiting.
- Remote-friendly policy with optional office access.
- Inclusive culture and belonging at Samsara.
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