R426127 Sr. Python Data Engineer

Comcast•Englewood, CO

20h•$135,683 - $203,525

About The Position

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. As a global company, we have offices in nine countries and can insert advertisements around the world. 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 enables 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.

Requirements

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

Nice To Haves

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

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
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
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