AI Data Engineer
Company: Internet Brands
Location: El Segundo
Posted on: January 18, 2026
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Job Description:
About the Role: Internet Brands is seeking an AI Data Engineer
to join our Personalization & Data Management function within the
Central AI Team. This role supports the Legal vertical, helping to
design and manage the data infrastructure that powers
personalization, content recommendations, and AI-driven insights
across our Legal businesses. You’ll work at the intersection of
data engineering and applied AI, building and optimizing data
pipelines that feed our personalization engines and AI models. Your
work will ensure that structured, clean, and contextually rich data
drives smarter experiences for our users, attorneys, and law firms.
This role is ideal for someone who thrives on solving data
challenges, collaborating with cross-functional teams, and wants to
grow within a cutting-edge AI organization. Key Responsibilities: •
Develop and maintain data pipelines that collect, transform, and
prepare data for AI models supporting Legal content personalization
and user engagement. • Integrate multiple data sources (web
analytics, CRM, user behavior, content metadata, and Legal
directory data) into unified data stores for downstream use. •
Support personalization and recommendation systems, ensuring
real-time and batch data pipelines deliver reliable, high-quality
signals. • Collaborate with Data Scientists and ML Engineers to
productionize AI models and ensure their data dependencies are
well-structured and performant. • Implement and maintain data
quality, validation, and monitoring processes across ingestion and
transformation layers. • Work with cloud-based data technologies
(AWS, GCP, or Azure) to scale infrastructure efficiently. • Partner
with the AI Engineering and Legal Product teams to optimize data
architecture and performance for Legal-specific personalization use
cases. • Contribute to the centralized data catalog and governance
framework, ensuring metadata and lineage documentation are up to
date. • Stay current on AI data engineering best practices and help
implement them across the team. Qualifications : Required •
Bachelor’s degree in Computer Science, Data Engineering, or a
related technical discipline. • 3–5 years of experience in data
engineering or related analytics infrastructure roles. • Strong
skills in Python, SQL, and modern ETL/ELT frameworks (Airflow, dbt,
Dagster, etc.). • Experience with data pipeline development. •
Solid understanding of data modeling, transformation, and schema
design for analytics and AI systems. • Familiarity with machine
learning workflows, including feature extraction, data labeling,
and model-serving data feeds. • Experience with API integrations
and handling structured and semi-structured data (JSON, Parquet,
etc.). Preferred • Exposure to personalization or recommendation
systems (e.g., user segmentation, content ranking, or behavioral
targeting). • Knowledge of Legal data types (law firm directories,
practice area taxonomies, or case law content). • Familiarity with
data lakehouse architectures (Databricks, Snowflake, or similar). •
Experience working with feature stores or vector databases for
AI/ML use cases. • Understanding of data governance, lineage, and
observability tools (e.g., DataHub, Monte Carlo, Great
Expectations). Why Join Internet Brands: • Contribute to AI
innovation driving smarter Legal experiences across a large content
and services ecosystem. • Collaborate with cross-functional AI,
data science, and product teams solving high-impact personalization
challenges. • Work in a dynamic, supportive environment that
encourages technical growth and experimentation.
Keywords: Internet Brands, La Habra , AI Data Engineer, IT / Software / Systems , El Segundo, California
