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About the Role
FreeWheel is seeking a Senior Data Engineer to join their Audience & AI group within the Revenue Science engineering team. This role will focus on data engineering for data analysis, AI, machine learning, optimization, and statistical model building, collaborating closely with engineering and product management to develop next-generation ad tech products.
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 effectively 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/storage throughout model pipelines.
- Develop systems to detect and remediate security and code vulnerabilities.
- Work independently and as part of a broader team across multiple projects.
Requirements
- At least 7 years of experience in data engineering, including experience using large datasets.
- Experience using AWS, Databricks, and Snowflake technologies highly preferred.
- Knowledge of AI platforms (e.g., Amazon Bedrock), large language models, and AI orchestration (e.g., LangChain, LangGraph) technologies desired.
- Knowledge of MLOps and LLMOps processes desired.
- Experience with platform/infrastructure/monitoring tools such as Kubernetes, Teradata, Datadog, Airflow.
- Skilled at data mangling and extract, transform, load (ETL) pipelines and Continuous Integration/Continuous Delivery (CI/CD).
- Strong analytical, presentation, and documentation skills.
- Ability to work independently in a problem-solving environment.
- Proven ability to deliver on complex projects within deadlines.
- Ability to communicate technical concepts to a non-technical audience.
- Strong interest in advertising technology.
- Understand Operating Principles and use them as guidelines.
- Own the customer experience, putting customers first and providing seamless digital options.
- Be enthusiastic learners, users, and advocates of company technology, products, and services.
- Win as a team by working together and being open to new ideas.
- Be an active part of the Net Promoter System.
- Drive results and growth.
- Support a culture of inclusion in how you work and lead.
- Do what's right for each other, customers, investors, and communities.
Skills
- Data Engineering
- Data Analysis
- AI
- Machine Learning
- Optimization Methods
- Statistical Model Building
- AWS
- Databricks
- Snowflake
- Amazon Bedrock
- LangChain
- LangGraph
- MLOps
- LLMOps
- Kubernetes
- Teradata
- Datadog
- Airflow
- ETL
- CI/CD
- Analytical Skills
- Presentation Skills
- Documentation Skills
- Problem-Solving
- Communication Skills
- Business Analytics
- Collaboration
- Data Science
Location
- New York
- Virginia
Work Type
- Full-time
Experience Level
- Senior
- 7-10 Years
Education Level
- Bachelor's Degree
- Master's Degree
- PhD
Salary/Compensations
- New York Pay Range: $148,018.20 - $222,027.30
- Virginia Pay Range: $141,850.78 - $222,027.30
Benefits
- Best-in-class Benefits
- Options, expert guidance, and tools personalized to support physically, financially, and emotionally.
About the Company
- FreeWheel, a Comcast company, provides comprehensive ad platforms for publishers, advertisers, and media buyers.
- Powered by premium video content, robust data, and advanced technology, we’re making it easier for buyers and sellers to transact across all screens, data types, and sales channels.
- A global company with offices in nine countries.
Equal Opportunity
- Comcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.