Data Engineer

📋 Description

• Design scalable cloud-native data pipelines (batch & streaming) for analytics.
• Architect enterprise data models across lakes, warehouses, and real-time systems.
• Define data governance, reliability, performance, and cost optimization standards.
• Develop Retrieval-Augmented Generation (RAG) systems for AI apps.
• Integrate LLM APIs into secure, production-ready applications.
• Collaborate with Product, Engineering, and Ops to translate requirements.

🎯 Requirements

• Bachelor’s degree in CS or equivalent practical experience.
• 8+ years of software or data engineering in production environments.
• Experience integrating LLM APIs into production applications.
• Hands-on ETL/ELT and streaming tech (Kafka, Spark, Snowflake, DBT).
• Advanced SQL and storage formats.
• Proficiency in Python and RESTful API development.

🎁 Benefits

• Medical, Dental, and Vision insurance
• 401(k) with company match
• Flexible Spending Accounts (FSA)
• Company-paid Life and Disability insurance
• Flexible PTO and company holidays
• Paid Parental Leave