Data Engineer II

📋 Description

• Build and maintain ETL/ELT data pipelines in Databricks and Spark for analytics and AI use cases.
• Develop and evolve data models to support reporting, experimentation, and GenAI workflows.
• Implement monitoring, alerts, and testing for data quality, timeliness, and lineage.
• Orchestrate data workflows at scale with Databricks Jobs and DBT.
• Contribute to data pipelines for retrieval-augmented generation (RAG) and embeddings.
• Partner with AI engineers and data scientists to enable experimentation and deployments.

🎯 Requirements

• 2-3 years of industry experience in data engineering, with significant experience building large-scale data platforms.
• Hands-on experience with Databricks, DBT, Redshift, RDS, Snowflake or similar solutions.
• Proficiency in Python and SQL, with experience in designing robust ETL/ELT pipelines.
• Experience orchestrating data workflows at scale and enabling machine learning or AI use cases.
• Strong understanding of data modeling, performance optimization, and cost-efficient infrastructure design.
• Located in and authorized to work in the United States (this is a fully remote role).

🎁 Benefits

• Flexible, employee-led remote model.
• Professional development stipend.
• Comprehensive health and parental leave plans.
• Equity (for eligible roles).