Comcast’s National Traffic and Capacity Management team is seeking a Data Engineer III to create trusted, scalable data solutions for network capacity planning and optimization. The role combines data engineering, automated data quality, BI and planning applications, and applied AI-enabled analytics to support reliable operational decision-making.
Role Overview
In this position, you will design and maintain data pipelines and applications used for forecasting, analysis, and planning across next-generation network products including EOHFC, EPON vBNG, and FDX. You will also collaborate with data engineering, analytics, and applied AI teams, with opportunities to support machine learning models, AI-assisted insight generation, and workflow automation.
Responsibilities
- Design, develop, test, deploy, and support scalable data applications, planning tools, APIs, and data pipelines for network capacity planning and analysis.
- Build and optimize ELT and ETL processes across batch and streaming datasets.
- Develop automated data-quality checks, anomaly detection, master data management, metadata management, lineage, and monitoring processes.
- Develop, tune, and fine-tune machine learning and AI models; evaluate performance and integrate models into production data applications and workflows.
- Develop automation for recurring workflows, including orchestration, validation, monitoring, and issue notification.
- Perform system documentation and create and maintain documentation for data pipelines, software specifications, system designs, processes, and support procedures.
- Conduct ad hoc data analysis and support AI-assisted insight generation.
- Optimize and monitor data-intensive processes and applications; identify and resolve performance, scalability, and data-quality issues.
- Apply sound practices for versioning, testing, privacy protection, cybersecurity, regulation compliance, governance, responsible AI, and monitoring of data and AI solutions.
- Collaborate with network engineering, product, operations, software development, and data science partners to translate requirements into reliable technical solutions.
- Adapt quickly to evolving business priorities while maintaining solution quality and delivery commitments.
- Proactively identify risks, dependencies, and opportunities for improvement, escalating issues early and driving resolutions independently.
Requirements
- Strong proficiency in SQL and Python (or similar), with experience in data engineering, data quality, data product/application development, or data analytics.
- Hands-on experience building production data applications using AWS, Databricks, Spark, or comparable cloud and distributed-processing technologies.
- Deep experience building, monitoring, and optimizing large-scale data pipelines and data-intensive applications.
- Working knowledge of machine learning workflows, including model development, deployment, evaluation, and monitoring.
- Familiarity with ML or data science models, AI-enabled analytics, LLM, RAG applications, AI agents, or model tuning and fine-tuning workflows.
- Experience with system design, data architecture design, integration, version control, CI/CD, testing, deployment, and production support.
- Experience with BI and reporting tools such as Tableau or Power BI, including reporting, data visualization, EDA, and data analysis.
- Knowledge of metadata management, lineage tracking, data-quality frameworks, anomaly detection, testing, and monitoring practices.
- Familiarity with workflow orchestration tools such as Airflow is a plus.
- Familiarity with networking, telecommunications, capacity management, or network deployment is preferred.
- Strong analytical and problem-solving skills, including debugging complex data issues and performance bottlenecks.
- Demonstrated ownership across design, development, testing, deployment, documentation, and ongoing support.
- Ability to learn new technologies quickly and communicate effectively across technical and business teams.
Required Technologies
- SQL, Python
- AWS, Databricks, Spark
- ELT, ETL
- Machine learning, AI models, LLM, RAG, AI agents
- Tableau, Power BI
- Metadata management, lineage tracking
- Airflow
- CI/CD
Location
Philadelphia, PA (onsite). This job can also be performed in New Jersey with the pay range below.
Compensation
- USD 108,578 - 162,868 per year
- New Jersey Pay Range: $108,578.72 - $162,868.08
Comcast intends to offer base pay within this range based on job-related, non-discriminatory factors such as experience.
Experience and Education
- Relevant work experience: 5-7 years
- Minimum experience: 5 years
- Education: Bachelor’s Degree
While possessing the stated degree is preferred, Comcast may consider applicants who hold some combination of coursework and experience, or those with extensive related professional experience.
Benefits
- Best-in-class Benefits to eligible employees
- Array of options, expert guidance, and always-on tools
- Personalized support physically, financially, and emotionally
Visa Sponsorship
This position is ineligible for visa sponsorship. To be considered, you must be legally authorized to work in the United States and not require sponsorship for employment now or in the future.
Application Window
The application window is 30 days from the date the job is posted, unless the number of applicants requires it to close sooner or later.
Disclaimer
This information is intended to indicate the general nature and level of work performed by employees in this role. It is not designed to be a comprehensive inventory of all duties, responsibilities, and qualifications.
