Job Description

Salary: $141,850.78 - 222,027.3 per year Requirements:

• Bachelors degree in a technical field such as data science, computer science, engineering, business analytics, mathematics, statistics, or operations research; a masters degree or PhD is a plus. Relevant coursework and experience or extensive related professional experience may also be considered.
• At least 7 years of data engineering experience, including work with large datasets; the posting lists 7–10 years of relevant work experience.
• AWS, Databricks, and Snowflake experience is highly preferred; experience with other cloud or on-premises platforms is a plus.
• Familiarity with AI platforms, large language models, and AI orchestration technologies such as Amazon Bedrock, LangChain, or LangGraph is desired.
• Knowledge of MLOps and LLMOps processes is desired.
• Experience with platform, infrastructure, or monitoring tools such as Kubernetes, Teradata, Datadog, or Airflow.
• Proficiency in data manipulation, ETL pipelines, and CI/CD.
• Strong analytical, presentation, and documentation skills, with the ability to work independently and solve problems.
• Demonstrated ability to deliver complex projects on deadline and explain technical concepts to non-technical audiences.
• Strong interest in advertising technology.

• Partner with cross-functional teams to define data-driven questions and run experiments that inform product and service improvements.
• Build and refine algorithms, software, and automated processes for reliable integration and cleansing of data from multiple sources.
• Design and develop pipelines and data structures that ingest, standardize, and transform logs and business data into warehouse tables and data feeds.
• Create architectures for data ingestion, processing, and storage at scale.
• Maintain data quality and integration across pipelines, including CI/CD, monitoring, and troubleshooting.
• Optimize compute and storage use across model pipelines.
• Develop systems to identify and remediate security and code vulnerabilities.
• Work independently and collaboratively across multiple projects.
• Follow our operating principles, prioritize customer experience, learn and advocate for our technology and services, collaborate as a team, support feedback initiatives, drive results and growth, foster inclusion, and act responsibly toward colleagues, customers, investors, and communities.

• AI
• Airflow
• AWS
• CI/CD
• Cloud
• Databricks
• Datadog
• ETL
• Support
• Kubernetes
• Machine Learning
• MLOps
• Security
• Snowflake

More:

We are Comcast, and FreeWheel is our global advertising technology company, providing platforms for publishers, advertisers, and media buyers. Our premium video content, data, and technology help buyers and sellers transact across screens, data types, and sales channels; we operate in nine countries and support ad placement around the world. We are hiring a Senior Data Engineer for the Audience & AI group within our Revenue Science engineering team, working closely with engineering and product management on data, AI, machine learning, optimization, and statistical modeling for next-generation advertising products. The roles listed base-pay ranges are $148,018.20–$222,027.30 in New York and $141,850.78–$222,027.30 in Virginia; compensation depends on job-related factors. Eligible employees receive benefits and, for most non-sales roles, may be eligible for a bonus. The application window is generally 30 days from posting, though it may change based on applicant volume. We are an equal opportunity workplace and consider qualified applicants without regard to protected characteristics.

last updated 43 week of 2026

Job Tags

Similar Jobs