AI Data Engineer

Responsibilities

• Design, build, and maintain a modern audit data platform using AI and automation to drive advanced analytics.
• Transform fragmented, manual data inputs into production-grade, resilient data pipelines.
• Develop and support CI/CD pipelines and end-to-end monitoring, including logging, alerting, and traceability.
• Implement modular transformation logic and data models to support standardized audit workflows.
• Lead technical decisions regarding scalability, governance, and observability across the data ecosystem.
• Collaborate with auditors to identify opportunities to streamline processes using AI technologies.
• Manage data integration across diverse sources such as APIs, SFTP, and databases using secure, repeatable patterns.
• Provide mentorship and technical guidance to less experienced team members.

Requirements

• Bachelor's Degree in a relevant field (or equivalent professional experience).
• 10+ years of relevant work experience in data engineering or related roles.
• Extensive experience with SQL, dbt, Snowflake, Airflow, and AWS.
• Proficiency in programming languages such as Python or R.
• Hands-on experience with AI technologies like MS CoPilot, GitHub CoPilot, or ChatGPT.
• Strong understanding of ETL processes, data modeling, and solution architecture.

Preferred Qualifications

• Experience with Tableau, Databricks, Spark, or Alteryx.
• Knowledge of IT controls, cybersecurity concepts, and US GAAP.
• Experience working in a complex, fast-paced corporate environment.

Benefits

• Comprehensive support for physical, financial, and emotional well-being.
• Personalized tools and expert guidance to support major life milestones.
• Access to a wide array of options designed to meet diverse personal needs.

About the Company

Comcast is a Fortune 50 leader that brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences, setting the pace in a variety of innovative businesses across the globe.