Job Summary
Freewheel is currently looking to recruit a Senior Data Engineer to join our Audience & AI group as part of the Revenue Science engineering team. This role will be responsible for supporting data engineering efforts related to data analyses, AI, machine learning, optimization methods, and statistical model building. This role will work very closely with engineering and product management staff to support the development of innovative approaches to the next generation of ad tech products.
Job Description
Freewheel is currently looking to recruit a Senior Data Engineer to join our Audience & AI group as part of the Revenue Science engineering team. This role will be responsible for supporting data engineering efforts related to data analyses, AI, machine learning, optimization methods, and statistical model building. This role will work very closely with engineering and product management staff to support the development of innovative approaches to the next generation of ad tech products.
Position Responsibilities:
- Collaborating with cross-functional teams to define data-driven questions and conduct experiments for product and service enhancements
- Engineering and refining algorithms, software, and automated processes for robust data integration and cleansing from multiple sources
- Designing and building 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
- Ensuring data quality and integration throughout the pipeline (CI/CD, monitoring, troubleshooting failures)
- Ensure efficient and optimized use of compute/storage throughout model pipelines among all team members
- Developing systems to detect and remediate security and code vulnerabilities
- Working independently and as part of a broader team across multiple projects
Desired Skills and Experience- Bachelor’s degree in a technical field such as Data Science, Computer Science, Engineering, Business Analytics, Mathematics, Statistics, or Operations Research required; Master’s or PhD a plus
- At least 7 years of experience in data engineering, including experience using large datasets
- Experience using AWS, Databricks and Snowflake technologies highly preferred. Other on-prem/ cloud platforms a plus
- 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
Employees at all levels are expected to:
- Understand our Operating Principles; make them the guidelines for how you do your job.
- Own the customer experience think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services.
- Know your stuff be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.
- Win as a team make big things happen by working together and being open to new ideas.
- Be an active part of the Net Promoter System a way of working that brings more employee and customer feedback into the company by joining huddles, making call backs and helping us elevate opportunities to do better for our customers.
- Drive results and growth.
- Support a culture of inclusion in how you work and lead.
- Do what's right for each other, our customers, investors and our communities.
Disclaimer: This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.
Skills
Business Analytics, Collaboration, Data Engineering, Data Science, Machine Learning (ML)
Compensation
New York Pay Range: $148,018.20 - $222,027.30
This job can be performed in Virginia with a Pay Range of $141,850.78 - $222,027.30
Comcast intends to offer the selected candidate base pay within this range, dependent on job-related, non-discriminatory factors such as experience. The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later.
Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the on our careers site for more details.
Education
Bachelor's Degree
While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.
Certifications (if applicable)
Relevant Work Experience
7-10 Years
