The Outdoorsy Group is seeking an experienced AI Data Engineer to drive two business critical functions: the synthesis of data sources to develop a Customer 360 view across our suite of products, and achieving AI readiness by creating real-time data flows that connect to AI agents.
Requirements
- Industry Expert: 3+ years data engineering experience building production-grade data warehouses and pipelines.
- Technically Proficient: Advanced expertise in SQL and Python, with the ability to write complex transformations and fuzzy matching algorithms, and handle messy 3rd-party data formats.
- Identity Resolution Experience: Direct experience with ‘Customer 360’ or ‘Golden Rule’ projects that establish source-of-truth customer profiles across disparate products and data sources.
- Real-Time LLM Context: Experience with streaming technologies (Kafka, Pub/Sub) or building infrastructure for LLM-based applications (Knowledge Graphs, Vector Databases, RAG).
- Collaborative Team Player: You work effectively across departments, e.g. Product, Engineering, and Finance, and understand that great products come from diverse perspectives.
- Velocity-Focused: You thrive in fast-paced environments where priorities shift quickly, and you're energized by solving real customer problems.
- Academic Background: Degree in a technical quantitative field like computer science, data science, and engineering, or equivalent practical experience.
Benefits
- Competitive Compensation
- Growth Opportunity
- Equity
- Comprehensive Benefits
- Vibrant Culture
- Work-Life Balance
