Data Engineer - AI-Enabled Capacity Analytics

Comcast’s National Traffic and Capacity Management (NTCM) team is building trusted data solutions that help improve network capacity planning and optimization for next-generation products. As a Data Engineer III onsite in Philadelphia, you’ll design and deliver scalable pipelines and planning applications, with opportunities to apply machine learning and AI-assisted analysis in support of forecasting and operational decision-making.

This role focuses on engineering reliable data flows, adding automated quality controls, and operationalizing models and analytics workflows across batch and streaming datasets.

What you’ll do

• 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 processes for data quality checks, anomaly detection, master data management, metadata management, lineage, and monitoring.
• Develop, tune, and fine-tune machine learning and AI models; evaluate performance and integrate models into production data applications and workflows.
• Implement automation for recurring workflows, including orchestration, validation, monitoring, and issue notification.
• Perform ad hoc data analysis and support AI-assisted insight generation.
• Optimize and monitor data-intensive processes and applications, identifying and resolving performance, scalability, and data-quality issues.
• Create and maintain clear documentation for data pipelines, software specifications, system designs, processes, and support procedures.
• 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 to evolving business priorities while maintaining solution quality and delivery commitments.
• Proactively identify risks, dependencies, and improvement opportunities, escalating issues early and driving resolutions independently.

What you bring

• 5-7 years of relevant work experience and 5+ years minimum experience for the role.
• Strong proficiency in SQL and Python (or similar languages), with experience in data engineering, data quality, data product development, 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 and AI-enabled analytics, including LLM, RAG applications, AI agents, or model tuning and fine-tuning workflows.
• Experience with system design, data architecture design, integration, version control, CICD, testing, deployment, and production support.
• Experience with BI tools such as Tableau or Power BI for reporting, 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.

Tools and technologies

• SQL, Python
• AWS, Databricks, Spark
• ELT, ETL
• Machine learning, AI models
• LLM, RAG, AI agents
• Tableau, Power BI
• Metadata management, lineage tracking
• Airflow
• CICD

Compensation and location

• Location: Philadelphia, PA (onsite)
• Salary range: USD 108,578 - 162,868 per year
• Note on pay range: Base pay offered within the range based on job-related, non-discriminatory factors including experience.

Additional details

• Education: Bachelor’s Degree (preferred)
• Visa sponsorship: Not eligible for visa sponsorship. Must be legally authorized to work in the United States and not require sponsorship now or in the future.
• Application window: 30 days from the date the job is posted, unless the number of applicants requires it to close sooner.

Benefits

• Best-in-class Benefits to eligible employees
• An array of options, expert guidance, and always-on tools
• Personalized support physically, financially, and emotionally

Comcast intends to assign this role to support network capacity planning and optimization for products including EOHFC, EPON vBNG, and FDX.

Disclaimer: This information is designed to indicate the general nature and level of work performed by employees in this role and is not intended to be a complete inventory of duties, responsibilities, or qualifications.