Data Engineer AI
Company: Internet Brands
Location: El Segundo
Posted on: January 17, 2026
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Job Description:
About the Role: Internet Brands is seeking an AI Data Engineer
to join the Personalization & Data Management function within our
Central AI Team. This position supports WebMD, enabling data-driven
personalization and AI-powered experiences that help millions of
consumers connect with trusted health information, providers, and
products. In this role, you’ll build and optimize the data
infrastructure that powers personalization, recommendations, and
predictive insights across our consumer health platforms. You’ll
collaborate closely with AI engineers, data scientists, and product
managers to ensure our data pipelines deliver clean, actionable,
and privacy-compliant data that fuels intelligent engagement across
multiple health brands. Key Responsibilities: • Design, build, and
maintain scalable data pipelines that collect and transform data
from health content, consumer behavior, provider interactions, and
marketing systems. • Enable personalization and recommendation
engines by ensuring high-quality, real-time, and batch data
delivery across consumer touchpoints (web, mobile, and email). •
Integrate data from multiple sources including content management
systems, analytics platforms, CRM, and marketing tools into unified
data stores that support AI model training and personalization
workflows. • Partner with Data Scientists and ML Engineers to
operationalize AI models, ensuring seamless data access, feature
pipelines, and model monitoring. • Implement data validation,
quality, and observability frameworks to ensure reliability and
compliance with healthcare privacy standards (HIPAA, GDPR, CCPA). •
Collaborate with the AI Engineering and Health Product teams to
improve data architecture and pipeline efficiency for consumer
health use cases. • Maintain and enhance data cataloging,
documentation, and lineage tracking, contributing to a
well-governed central data ecosystem. • Continuously evaluate and
apply emerging AI data engineering practices to improve
scalability, automation, and intelligence in personalization
systems. Qualifications : Required • Bachelor’s degree in Computer
Science, Data Engineering, or a related technical field. • 3–5
years of experience in data engineering, preferably supporting
consumer or content-driven platforms. • Proficiency in Python, SQL,
and modern ETL/ELT frameworks (Airflow, dbt, Dagster, etc.) •
Experience with cloud data infrastructure (AWS Glue, S3, Redshift,
BigQuery, or Snowflake). • Strong understanding of data modeling,
transformation, and schema design for analytics and AI. •
Experience working with structured and semi-structured data (JSON,
Parquet, CSV) and integrating with third-party APIs. • Familiarity
with machine learning data flows and model-serving requirements.
Preferred • Experience in the health, wellness, or consumer
engagement domain. • Familiarity with PII and PHI data handling,
data anonymization, and compliance frameworks. • Exposure to
personalization or recommendation systems, audience segmentation,
or behavioral targeting. • Knowledge of data lakehouse environments
(Databricks, Snowflake, or similar) and feature store
architectures. • Experience with data quality and observability
tools (e.g., Great Expectations, Monte Carlo, DataHub). Why Join
Internet Brands: • Help shape AI-powered personalization that
connects consumers to better health information and care
experiences. • Work with cross-functional teams of AI engineers,
data scientists, and health product strategists in a growing AI
ecosystem. • Enjoy a collaborative environment that values
innovation, autonomy, and continuous learning.
Keywords: Internet Brands, Arcadia , Data Engineer AI, IT / Software / Systems , El Segundo, California
