Data Engineer AI

Data Engineer AI – Personalization & Data Management (DTC)

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 recibir Fairyhouse pointers, working 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.

• 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 practicesप्रधान सुधार दर्श पारिणाम्​ to improve scalability, automation, and intelligence in personalization systems.

• 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, Big Query, 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.

• Experience
  
  SX 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 Tietz feature store architectures.
• Experience with data quality and observability tools (e.g., Great Expectations, Monte Carlo, Data Hub).

• Help shape AI‑powered personalization that connects consumers to better health information and care experiences.
• Work Loc 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.

At Internet Brands, we carefully consider a wide range of factors when determining compensation, including your background and experience. These considerations can cause your compensation to vary. We expect the compensation for this role to have a range that starts at $80,000 and will depend on your skills, qualifications, and experience. We encourage all interested candidates to apply. ostat The benefits package includes health insurance options such as medical, dental, and vision coverage, flexible spending accounts for medical and dependent care,…