Comcast Offices

Designs, develops, and optimizes scalable data pipelines and structures for analytics and downstream apps. Implements SQL transformations, ingestion frameworks, cloud data solutions (Snowflake, Databricks), ensures data quality, lineage, and governance, and mentors junior engineers while improving internal tools and automation.

Implements, refines, validates, trains, and deploys machine learning models for company products. Designs and monitors data pipelines, evaluates internal and external ML solutions, documents technical requirements, and develops proof-of-concept strategies. Conducts case studies, contributes to research, patents, APIs, and intellectual property, and provides recommendations to support future product development. Requires independent judgment and availability for variable schedules, including nights and weekends.

Provides senior technical leadership for engineering operations, including troubleshooting complex Linux, Kubernetes, Docker, and cloud environments. Leads outage response, performs maintenance and validation, monitors operational workflows, analyzes distributed-system issues, and develops automation. Ensures adherence to engineering standards, supports product implementation, collaborates with vendors and engineering teams, and mentors junior engineers. Requires flexible scheduling, strong communication, independent judgment, and expertise in observability, CI/CD, scripting, and systems optimization.