Comcast
Sr. Data Engineer - Freewheel
$142K–$222K
NY - New York, 1407 Broadway Floor 12 +1 · Senior · Full-time · Posted Oct 14, 2026
- Location
- NY - New York, 1407 Broadway Floor 12
VA - Reston, 11951 Freedom Dr Ste 900 - Experience
- At least 7 years of data engineering experience, including large datasets; Relevant Work Experience: 7-10 Years.
- Education
- Bachelor’s degree in a technical field required; Master’s or PhD a plus. Comcast may consider coursework and experience or extensive related professional experience.
About the job
Build and support data engineering systems and pipelines for data analysis, AI, machine learning, and statistical modeling in advertising technology.
What you'll do
- Collaborate across teams to define data questions and run experiments for product and service improvements.
- Build scalable data architectures and pipelines to ingest, cleanse, transform, and store data from multiple sources.
- Maintain pipeline data quality and efficiency through CI/CD, monitoring, troubleshooting, and security remediation.
What they ask for
- Bachelor’s degree in a technical field; the posting also says applicants with coursework and experience or extensive related professional experience may be considered.
- Skilled in data mangling, ETL pipelines, and CI/CD.
- Strong analytical, presentation, and documentation skills; able to communicate technical concepts to non-technical audiences.
- Ability to deliver complex projects within deadlines and work independently.
Nice to have
- Experience with AWS, Databricks, and Snowflake; other on-prem/cloud platforms are a plus.
- Knowledge of AI platforms, large language models, AI orchestration, MLOps/LLMOps, and platform or monitoring tools.
Pay
$148,018.20 - $222,027.30 USD base salary (New York); $141,850.78 - $222,027.30 USD base salary (Virginia)
Tools
AWS, Databricks, Snowflake, Amazon Bedrock, LangChain, LangGraph, Kubernetes, Teradata
AI focus
Supports data engineering for AI, machine learning, optimization methods, and statistical model building; desired knowledge includes LLMs, AI orchestration, MLOps, and LLMOps.
Model-written summary · the original posting is authoritative