Sr. Data Python Engineer - FreeWheel

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.

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 enables programmatic ad‑tech solutions that help media owners, advertisers, and agencies manage, monetize, and measure advertising across linear TV, streaming, and digital video

Job Description

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:

Data Pipeline & Platform Engineering

• 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 co