Sr. Data Engineer - Freewheel

Comcast • Reston, NY

2d

About The Position

FreeWheel, a Comcast company, is hiring a Senior Data Engineer for its Audience & AI group within the Revenue Science engineering team. The role supports data engineering work involving data analysis, AI, machine learning, optimization methods, and statistical model building. The engineer will work closely with engineering and product management teams to develop innovative approaches for next-generation advertising technology products.

The position involves designing and operating scalable data architectures and pipelines, integrating and cleansing data from multiple sources, and ensuring data quality and efficient use of compute and storage. The engineer will also contribute to security and code vulnerability detection and remediation, and work independently and collaboratively across projects. The stated experience range is 7–10 years. A bachelor's degree in a technical field is required; a master's or PhD is a plus, though the posting says Comcast may also consider combinations of coursework and experience or extensive related professional experience.

Requirements

• Bachelor's degree in a technical field such as Data Science, Computer Science, Engineering, Business Analytics, Mathematics, Statistics, or Operations Research; the posting also states Comcast may consider combinations of coursework and experience or extensive related professional experience.
• At least 7 years of experience in data engineering, including experience using large datasets.
• Skills in data munging, extract-transform-load (ETL) pipelines, and continuous integration/continuous delivery (CI/CD).
• Strong analytical, presentation, and documentation skills, and ability to work independently in a problem-solving environment.
• Proven ability to deliver complex projects within deadlines.
• Ability to communicate technical concepts to a non-technical audience.
• Strong interest in advertising technology.

Nice To Haves

• Master's or PhD.
• Experience with AWS, Databricks, and Snowflake; experience with other on-premises or cloud platforms is also a plus.
• Knowledge of AI platforms such as Amazon Bedrock, large language models, and AI orchestration technologies such as LangChain and LangGraph.
• Knowledge of MLOps and LLMOps processes.
• Experience with platform, infrastructure, or monitoring tools such as Kubernetes, Teradata, Datadog, and Airflow.

Responsibilities

• Collaborate with cross-functional teams to define data-driven questions and conduct experiments for product and service enhancements.
• Engineer and refine algorithms, software, and automated processes for robust data integration and cleansing from multiple sources.
• Design and build data pipelines and structures that ingest, standardize, and transform logs and business data into warehouse tables and data feeds.
• Create data architectures that manage data ingestion, processing, and storage at scale.
• Ensure data quality and integration throughout the pipeline, including CI/CD, monitoring, and troubleshooting failures.
• Ensure efficient and optimized use of compute and storage throughout model pipelines among team members.
• Develop systems to detect and remediate security and code vulnerabilities.
• Work independently and as part of a broader team across multiple projects.

Benefits

• Eligible employees have access to Comcast benefits; the posting refers applicants to the company's compensation and benefits summary for details.
• Most non-sales positions are eligible for a bonus.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior