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How much do freewheel jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for freewheel in the United States is $54.63, according to ZipRecruiter salary data. Most workers in this role earn between $42.31 and $65.14 per hour, depending on experience, location, and employer.

What is Freewheel in the context of advertising and media?

Freewheel is a technology company that provides ad management solutions for the television and video industry. Their platform helps media companies manage, optimize, and monetize their video ad inventory across various channels, including linear TV, digital, and connected TV. Freewheel's tools enable precise ad targeting, audience measurement, and yield optimization, making it easier for publishers and broadcasters to maximize their advertising revenue.

What are some common challenges faced by professionals working at Freewheel, and how can new hires best prepare for them?

Professionals at Freewheel, a Comcast company specializing in ad management solutions, often face challenges related to the fast-paced evolution of digital advertising technologies and client expectations. New hires may need to quickly adapt to new platforms, manage multiple projects with tight deadlines, and collaborate across diverse technical and client-facing teams. To succeed, applicants should be comfortable with learning on the job, proactive in communicating with colleagues, and open to embracing change. Familiarity with programmatic advertising and strong organizational skills can also help ease the transition into Freewheel’s dynamic work environment.

What are the key skills and qualifications needed to thrive as a Freewheel (Ad Tech) specialist, and why are they important?

To thrive as a Freewheel Specialist, you need a solid understanding of digital advertising operations, video ad serving, and strong analytical abilities, often backed by experience in ad tech or digital media. Proficiency with the Freewheel platform, ad servers, programmatic tools, and reporting systems is typically required, along with knowledge of industry standards like VAST and VPAID. Excellent problem-solving, attention to detail, and effective communication skills help you manage campaigns and collaborate with cross-functional teams. These skills ensure accurate campaign execution, optimal revenue delivery, and seamless client experiences in the fast-evolving digital advertising landscape.

What is the difference between Freewheel vs Ad Operations Specialist?

AspectFreewheelAd Operations Specialist
CredentialsExperience with ad tech platforms, digital media, and possibly certifications in ad techKnowledge of ad platforms, campaign management, and analytics; certifications like Google Ads may be common
Work EnvironmentMedia companies, ad tech firms, digital publishersAdvertising agencies, media companies, digital marketing teams
Industry UsageUsed primarily in digital video and programmatic advertisingCommon in digital advertising, media buying, and campaign management

Freewheel is a digital ad management platform specializing in video and programmatic advertising, often used by media companies and ad tech firms. An Ad Operations Specialist manages ad campaigns across various platforms, including Freewheel, focusing on campaign setup, optimization, and reporting. While Freewheel is a tool, an Ad Operations Specialist is a role that may utilize Freewheel among other platforms. Understanding both helps in digital media and advertising careers.

More about Freewheel jobs

What cities are hiring for Freewheel jobs?

Cities with the most Freewheel job openings:

What states have the most Freewheel jobs?

States with the most job openings for Freewheel jobs include:

What job categories do people searching Freewheel jobs look for?

The top searched job categories for Freewheel jobs are:

Freewheel jobs near you
Infographic showing various Freewheel job openings in the United States as of August 2026, with employment types broken down into 98% Full Time, and 2% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $113,633 per year, or $54.6 per hour.

Lead Site Reliability Engineer, Data- FreeWheel

Comcast

Reston, VA • On-site

$152K - $228K/yr

Full-time

Re-posted 23 days ago

Job description

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 is seeking an experienced Data SRE to join the FreeWheel Data SRE team. As a member of the Global Operation team, you will be responsible for ensuring the reliability, scalability, and performance of our data systems. Working closely with data engineers and other operation sub-teams, you will manage our data infrastructure, optimize system reliability, automate daily operations, and resolve technical issues that impact our data pipelines and backend data platforms.

Job Description

Key Responsibilities:

System Monitoring and Optimization

  • Design and implement monitoring and alerting systems to ensure the stability, reliability, and performance of data platforms.
  • Quickly respond to and resolve issues impacting data pipelines or storage layers.

Automation and Tool Development

  • Develop and maintain automation tools and scripts for deployment, monitoring, backup, recovery, and disaster recovery of data systems.

Performance Optimization

  • Analyze and optimize the performance of data storage, query performance, and data flows.
  • Ensure efficient processing of large-scale datasets.
  • Reduce latency and improve processing speed.

Incident Response and Troubleshooting

  • Respond quickly to data platform failures.
  • Perform troubleshooting and coordinate cross-team efforts to resolve issues.
  • Ensure high availability and reliability of data platforms.

Capacity Planning and Scaling

  • Work with data engineering teams to analyze and forecast capacity requirements.
  • Ensure systems can accommodate data growth and scale infrastructure accordingly.

Documentation and Knowledge Sharing

  • Document the architecture, configurations, and operational procedures for data platforms.
  • Share operational knowledge across the team and provide relevant training.

Security and Compliance

  • Ensure data platforms meet security standards and compliance requirements.
  • Prevent data breaches, unauthorized access, and misuse of data.

Cross-Team Collaboration

  • Collaborate with data science, product, and development teams.
  • Support data product design and implementation efforts.
  • Resolve reliability-related issues and improve platform stability.
Qualifications
  • At least 10+ years of experience as an SRE, DevOps, or Data Operations Engineer.
  • Experience with cloud platforms (AWS, GCP, Azure).
  • Familiarity with modern data architectures and technologies including Kafka, Hadoop, Spark, Cassandra, HDFS, and AWS S3.
  • Extensive experience in database management including NoSQL, MySQL, and PostgreSQL.
  • Proficiencywith Ansible, Terraform, Kubernetes, and Docker.
  • Programming skills in Python, Go, Java, or Scala.
  • Experience with Prometheus, Grafana, ELK Stack, or similar tools.
  • Strong troubleshooting and debugging skills.
  • Excellent communication skills with technical and non-technical stakeholders.
  • Education: Bachelor's degree or higher in Computer Science, Software Engineering, ora relatedfield.

Additional Preferred Skills

  • Experience with Aerospike, Kafka, Snowflake, and other big data technologies.
  • Familiarity with containerization,microservicesarchitecture, and Kubernetes.
  • Experience designing andmaintaininglarge-scale distributed systems.
  • Experience in data quality management, data governance, or ETL pipelines.


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.

Skills

Amazon Web Services (AWS), Apache Kafka, Python (Programming Language)

Compensation

Virginia Pay Range: $152,020.01 - $228,030.02Comcast 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.

Education

Bachelor'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 Experience

10 Years +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.

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