AI Data Engineer

Day 1 onsite Culver City, CA / Sunnyvale, CA (Prefers local folks)
Hybrid – 3 days onsite and 2 days remote
Long term contract
Direct client opportunity
No mid layer / No Implementation partners are Involved

Ideally Client is looking forxxxxxxxxxxxxxxxyears exp candidate.

Data Ingestion: Own the ingestion of unstructured documents (PDFs, Office files, images, etc.) and structured data from enterprise systems, databases, and third-party sources — including content metadata, rights and licensing records, talent agreements, production schedules, and audience analytics to support the production content lifecycle

AI-Powered Extraction: Leverage AI-driven data extraction techniques to automate the capture, classification, and structuring of information from unstructured sources — reducing manual processing and accelerating data availability

Pipeline Engineering: Design and maintain sustainable, repeatable data pipelines, spanning ingestion, batch processing and ETL/ELT

Data Catalog & Governance: Support and advance enterprise data catalog initiatives — ensuring all ingested datasets including content metadata, production information, and financial records are properly registered, described, classified, and discoverable

Analytics & Insights: Transform raw and semi-structured data into clean, analytics-ready datasets to support business insights and data storytelling
Cross-Functional Partnership: Work cross-functionally with application engineers, product teams, and business stakeholders to ensure data foundations support the full production content lifecycle and meet downstream consumption needs

Primary Technologies & Skills: Python · SQL · Tableau · Apache Airflow · Data Cataloging · AI-Driven Extraction · OCR