Senior Data Engineer: AI-Driven Ad Tech & Data Pipelines

Comcast; Virginia; Sur place; USD 142 000 - 222 000; Plein temps

Résumé du poste

FreeWheel, a Comcast company, is seeking a Senior Data Engineer to join the Audience & AI group within Revenue Science. The role focuses on data engineering for AI, machine learning, and analytics, collaborating with engineering and product teams to advance ad-tech products.

The candidate will build data pipelines, ensure data quality, and scale architectures across projects, while working in a dynamic, cross-functional environment in the US.

Qualifications

• Bachelor’s degree in a technical field is required; Master’s or PhD is a plus.
• 7+ years of data engineering experience with large datasets.
• Experience with AWS, Databricks and Snowflake is highly preferred.
• Knowledge of AI platforms and LLMs, LangChain or LangGraph desired.
• Familiarity with MLOps/LLMOps, and monitoring tools like Datadog and Airflow.

Responsabilités

• Collaborate with cross-functional teams to define data-driven questions and experiments.
• Engineer and refine algorithms and automated data integration processes.
• Design and build data pipelines to ingest, transform, and store data at scale.
• Create data architectures to manage ingestion, processing and storage.
• Ensure data quality and integration across the pipeline (CI/CD, monitoring).
• Optimize compute/storage usage across model pipelines.
• Develop systems to detect and remediate security and code vulnerabilities.

Connaissances

Data engineering

AWS Databricks Snowflake

AI/ML knowledge

Kubernetes Datadog Airflow

CI/CD

Data quality

Analytical skills

Formation

Bachelor’s degree in technical field

Master’s or PhD a plus

Outils

Kubernetes

Teradata

Datadog

Airflow

Description du poste

FreeWheel, a Comcast company, is seeking a Senior Data Engineer to join the Audience & AI group within Revenue Science. The role focuses on data engineering for AI, machine learning, and analytics, collaborating with engineering and product teams to advance ad-tech products.

The candidate will build data pipelines, ensure data quality, and scale architectures across projects, while working in a dynamic, cross-functional environment in the US.