Opportunity Description
Technical Qualifications
+ Core Engineering: 6+ years of experience in Software Data Engineering with expert-level proficiency in Python and SQL.
+ AI Tooling: Hands-on experience with coding agents like Cursor, Claude Code, Codex etc..
+ LLM Ecosystem: Familiarity with building/configuring context engineering mechanisms like - Model Context Protocol (MCP) , Skills, Plugins etc
+ Terminal Proficiency: Comfort using Claude CLI for prompt engineering, debugging, and data exploration.
+ Data Stack: Experience with modern data warehouses (e.g., Snowflake, BigQuery, or Redshift) and orchestration tools (e.g., Airflow, Dagster).
+ AI workflows/Agents: Experince building agents and AI workflows using RAG, semantic search etc.
Soft Skills & Mindset
+ The AI-First Habit: You default to using AI tools to solve complex problems faster, but you have the fundamental engineering knowledge to vet and correct AI outputs.
...
+ Core Engineering: 6+ years of experience in Software Data Engineering with expert-level proficiency in Python and SQL.
+ AI Tooling: Hands-on experience with coding agents like Cursor, Claude Code, Codex etc..
+ LLM Ecosystem: Familiarity with building/configuring context engineering mechanisms like - Model Context Protocol (MCP) , Skills, Plugins etc
+ Terminal Proficiency: Comfort using Claude CLI for prompt engineering, debugging, and data exploration.
+ Data Stack: Experience with modern data warehouses (e.g., Snowflake, BigQuery, or Redshift) and orchestration tools (e.g., Airflow, Dagster).
+ AI workflows/Agents: Experince building agents and AI workflows using RAG, semantic search etc.
Soft Skills & Mindset
+ The AI-First Habit: You default to using AI tools to solve complex problems faster, but you have the fundamental engineering knowledge to vet and correct AI outputs.
...
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