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# Sr. Data Python Engineer - FreeWheel

- **Company:** Comcast
- **Location:** Englewood, CO, United States
- **Experience:** Expert
- **Salary:** $135,683.0 - $203,525.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Data Analysis, Big Data, Continuous Integration, Information Engineering, Data Systems, Distributed Data Store, Distributed Systems, Fault Tolerance, Python (Programming Language), Performance Tuning, Standard Sql, Software Engineering, SQL Databases, Data Streaming, Data Ingestion, Snowflake, Apache Spark, Backend, Kubernetes, Performance Monitor, Terraform, Data Pipelines, Databricks, Microservices
- **Published:** August 16, 2026
- **Apply:** https://www.juju.com/job/00000000gnaza5

## About the Role

+ 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, Structured Query Language (SQL); Collaboration; Big Data; Software Development; Python (Programming Language), 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

**Job Family Group:** Engineering

## Description

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


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