Sr. Data Python Engineer - FreeWheel

Job Summary FreeWheel, a Comcast global advertising technology company, powers the buying, selling, and delivery of premium video advertising across linear TV, connected TV (CTV), and streaming platforms. FreeWheel provides enterprise-scale software and marketplaces that enable programmatic ad-tech solutions that help media owners, advertisers, and agencies manage, monetize, and measure advertising across linear TV, streaming, and digital video. About the Team This team is responsible for unifying data ingestion and pipeline strategies across FreeWheel, ensuring high-performance, scalable, and reliable data flows that power analytics, reporting, and downstream ad-tech systems. The team owns the end-to-end data ingestion platform, focusing on performance optimization, architectural consistency, and modern cloud-native design across multiple data sources and services. Role Overview We are seeking a Senior Software Engineer to drive the design, performance, and evolution of FreeWheel's data pipeline and ingestion systems. This role emphasizes data pipeline performance, distributed system design, and technical leadership, while partnering closely with platform, data, and product teams. You will play a key role in defining ingestion standards, leading architectural decisions, and ensuring that pipelines scale reliably across FreeWheel's ad-tech ecosystem. Core Responsibilities Design, build, and optimize high-throughput data ingestion pipelines supporting large-scale advertising data Improve pipeline performance, reliability, and observability across distributed systems Lead architectural decisions for unified ingestion frameworks across FreeWheel platforms Develop and maintain Python-based microservices supporting real-time and batch ingestion Technical Leadership & Design Serve as a technical leader, driving best practices in system design, performance tuning, and scalability Author and review technical design documents for complex distributed systems Mentor engineers and raise the technical bar across the team Collaborate cross-functionally with data engineering, platform, and product partners Data Systems & Analytics Enablement Work with Snowflake as a distributed data platform to support downstream analytics and reporting Optimize ingestion patterns for analytics-ready data models Ensure data quality, consistency, and traceability across ingestion layers Required Qualifications 7+ years of experience building data pipelines or distributed backend systems using Python Strong proficiency in Python and microservices-based architectures Hands-on experience with AWS cloud infrastructure Production experience with CI/CD, Terraform, and Kubernetes Experience working with distributed data systems (Snowflake or Spark strongly preferred) SQL querying Proven ability to lead design discussions and influence architectural decisions Strong understanding of system performance, scalability, and fault tolerance Preferred Qualifications Snowpark or DataBricks experience Experience in ad tech, media, or data-intensive platforms Familiarity with both batch and streaming ingestion patterns Experience unifying or standardizing ingestion across multiple teams or platforms Background in performance monitoring, observability, and cost optimization in cloud environments 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. 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. 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. Relevant Work Experience 7-10 Years J-18808-Ljbffr