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 SummaryFreeWheel, 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 videoJob DescriptionAbout the TeamThis 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 OverviewWe 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 EngineeringDesign, build, and optimize high‑throughput data ingestion pipelines supporting large‑scale advertising dataImprove pipeline performance, reliability, and observability across distributed systemsLead architectural decisions for unified ingestion frameworks across FreeWheel platformsDevelop and maintain Python‑based microservices supporting real‑time and batch ingestionTechnical Leadership & DesignServe as a technical leader, driving best practices in system design, performance tuning, and scalabilityAuthor and review technical design documents for complex distributed systemsMentor engineers and raise the technical bar across the teamCollaborate cross‑functionally with data engineering, platform, and product partnersData Systems & Analytics EnablementWork with Snowflake as a distributed data platform to support downstream analytics and reportingOptimize ingestion patterns for analytics‑ready data modelsEnsure data quality, consistency, and traceability across ingestion layersRequired Qualifications7+ years of experience building data pipelines or distributed backend systems using PythonStrong proficiency in Python and microservices‑based architecturesHands‑on experience with AWS cloud infrastructureProduction experience with CI/CD, Terraform, and KubernetesExperience working with distributed data systems (Snowflake or Spark strongly preferred)SQL queryingProven ability to lead design discussions and influence architectural decisionsStrong understanding of system performance, scalability, and fault tolerancePreferred QualificationsSnowpark or DataBricks experienceExperience in ad tech, media, or data‑intensive platformsFamiliarity with both batch and streaming ingestion patternsExperience unifying or standardizing ingestion across multiple teams or platformsBackground in performance monitoring, observability, and cost optimization in cloud environmentsDisclaimer: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.SkillsBig Data, Collaboration, Python (Programming Language), Software Development, Structured Query Language (SQL)CompensationPrimary Location Pay Range: $135,683.35 - $203,525.03Comcast 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 compensation and benefits summary on our careers site for more details.EducationBachelor's DegreeWhile 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 Experience7-10 YearsComcast 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.SummaryLocation: CO - Englewood, 183 Inverness Dr WestType: Full time