AI Data Engineer

AI Data Engineer

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.

• 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 product ionize 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.

• 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.).

• 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., Data Hub, Monte Carlo, Great Expectations).

• 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.

At Internet Brands, we carefully consider a wide range of factors when determining compensation, including your background and experience. Compensation for this role may range from $100k to $120k and will depend on your skills, qualifications, and experience.

In addition to our culture, we offer a comprehensive benefits package designed to support the health and well‑being of you and your family. Benefits include health, dental, and vision coverage; flexible spending accounts (FSA) for medical and dependent care; short‑term and long‑term disability insurance; life and AD&D insurance; a 401(k) plan with a company match; paid time off (PTO);…