Enhance Identity Resolution such that there is a source-of-truth Customer 360 view that links users across our RV marketplace, internal insurance products, and 3rd-party insurance partners.
Develop fuzzy matching algorithms to triangulate single users across data that lacks common IDs.
Build and maintain scalable ELT/ETL pipelines (using tools like dbt, Airflow, FiveTran) that sync siloed SQL databases, external CRM data, and 3rd-party insurance and claims data into a unified warehouse (Redshift/BigQuery).
Architect real-time data flows to feed an AI agent, achieving AI Readiness. Through Knowledge Graphs, Vector Databases, and Retrieval-Automated Generation, ensure agents can access e.g. latest policy status, upsell propensity scores, and customer history in near real-time.
Own all aspects of data governance between our operational systems and the AI agent to ensure privacy, security and high-fidelity responses.

Requirements

Industry Expert: 3+ years data engineering experience building production-grade data warehouses and pipelines. Travel, marketplace, or insurance experience is a bonus, but not essential.
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.
Candidates in Austin, Texas will be prioritized

Benefits

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQLPythonfuzzy matching algorithmsdata engineeringdata warehousesdata pipelinesELTETLreal-time data flowsdata governance

Soft Skills

collaborativeteam playerproblem-solvingadaptabilitycommunication