Data Engineer - AI-Enabled Capacity Analytics

Comcast Resume • Philadelphia, PA

12d • $108,579 - $162,868

About The Position

Join Comcast's National Traffic and Capacity Management (NTCM) team as a Data Engineer III, building trusted data solutions for network capacity planning and optimization across products including EOHFC, EPON vBNG, and FDX. The role involves building and maintaining scalable data pipelines, BI and planning applications, and automated data-quality processes that support forecasting, analysis, and operational decision-making. It spans data engineering, analytics, and applied AI, with opportunities to support machine-learning models, AI-assisted analysis, and workflow automation.

The position is ineligible for visa sponsorship. Candidates must be legally authorized to work in the United States and must not require employment sponsorship now or in the future. A bachelor's degree is preferred, though Comcast may also consider relevant coursework and experience or extensive related professional experience. The stated relevant work experience is 5–7 years. The job can be performed in New Jersey, with a stated base-pay range of $108,578.72–$162,868.08. Comcast notes that most non-sales positions are eligible for a bonus and that eligible employees receive benefits; details are available in its compensation and benefits summary.

Requirements

• Strong proficiency in SQL and Python or similar programming languages, with experience in data engineering, data quality, data product development or application development, and 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.
• Experience with system design, data architecture design, integration, version control, CI/CD, testing, deployment, and production support.
• Experience with business intelligence tools such as Tableau or Power BI for reporting, data visualization, exploratory data analysis, and data analysis.
• Knowledge of metadata management, lineage tracking, data-quality frameworks, anomaly detection, testing, and monitoring practices.
• Strong analytical and problem-solving skills, including the ability to debug complex data issues and performance bottlenecks.
• Demonstrated ownership and accountability for design, development, testing, deployment, documentation, and ongoing support.
• Ability to learn new technologies quickly and communicate effectively across technical and business teams.
• Bachelor's degree preferred; relevant coursework and experience or extensive related professional experience may also be considered.
• 5–7 years of relevant work experience.
• Legally authorized to work in the United States without requiring employment sponsorship now or in the future.

Nice To Haves

• Familiarity with ML or data science models, AI-enabled analytics, LLMs, RAG applications, AI agents, or model tuning and fine-tuning workflows.
• Familiarity with workflow orchestration tools such as Airflow or similar technologies.
• Familiarity with networking, telecommunications, capacity management, or network deployment.

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.
• Automate recurring workflows, including orchestration, validation, monitoring, and issue notification, and provide system documentation.
• 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 documentation for data pipelines, software specifications, system designs, processes, and support procedures.
• Apply sound practices for versioning, testing, privacy protection, cybersecurity, regulatory 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, balance multiple initiatives, and maintain solution quality and delivery commitments.
• Proactively identify risks, dependencies, and improvement opportunities, escalate issues early, and drive resolutions independently.

Benefits

• Eligible employees receive an array of benefits; details are provided in Comcast's compensation and benefits summary.
• Most non-sales positions are eligible for a bonus.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level