[Hiring] Data Engineer @Ambush

Role Description

We are looking for a Data Engineer who is as comfortable optimizing a Snowflake warehouse as they are deploying an LLM-backed microservice . This is a high-impact role where you will collaborate with Product, Data Science, and Engineering to turn complex business logic into scalable, automated reality.

Key Responsibilities

• Prototype and deploy scalable solutions using LangChain, LangGraph, and OpenAI SDKs to provide measurable business value.
• Design and implement backend logic (Python/FastAPI) that integrates LLMs with external data sources and contextual automation.
• Define and maintain secure, robust APIs that serve as the bridge between our data ecosystem and enterprise applications.
• Build and optimize modular data transformations using dbt and orchestrate them via Dagster or Airflow.
• Design high-performance schemas (balancing Kimball vs. OBT) that cater to both rapid experimentation and long-term reporting.
• Manage and scale AI services on Cloud Platforms (GCP/AWS/Azure), ensuring low latency and stringent security.

Qualifications

• Proven experience with Data or Analytics Engineering, ideally within a modern data stack (Snowflake, dbt, etc.).
• Strong working knowledge of Python, specifically for data orchestration and building microservices (FastAPI/Flask).
• You write performant, modular SQL and understand how to model data for scale.
• You don't just build what's asked; you think about ROI, knowing when to automate and when to prioritize short-term delivery without sacrificing long-term quality.

Requirements

• Experience building feature stores or monitoring model drift and I/O.
• Familiarity with CI/CD for data, infrastructure as code, or FinOps.
• Experience thriving in fast-paced environments where you might need to wear multiple hats.