AI Data Engineer Job ID 2025-9873
About The Position
Data Engineer AI, Personalization & Data Management - Legal 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.
Requirements
- 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.).
Nice To Haves
- 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).
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.
Benefits
- health insurance options such as medical, 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
- 401(k) retirement savings plan with a company match
- paid time off (PTO)
- paid holidays
- commuter benefits
- access to our Employee Assistance Program (EAP) and well-being coaching services
- employees can take advantage of voluntary benefits such as home, auto and pet insurance, and discounted legal and financial services
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
1,001-5,000 employees
