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Data Engineer - AI-Enabled Capacity Analytics

Comcast Corporation Philadelphia, PA

Philadelphia, PA

Today

$109k - $163k/yr Full time Ai Ml Artificial Intelligence Automation

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Job Description

Comcast’s National Traffic and Capacity Management team is hiring a Data Engineer III to deliver trusted, scalable data capabilities for network capacity planning and optimization.

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.
Create 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.
Optimize and monitor data-intensive processes and applications; identify and resolve performance, scalability, and data-quality issues.
Provide system documentation.
Perform ad hoc data analysis and support AI-assisted insight generation.
Create and maintain clear documentation for data pipelines, software specifications, system designs, processes, and support procedures.
Apply versioning, testing, privacy protection, cybersecurity, regulation compliance, governance, responsible AI practices, and monitoring for 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 balancing multiple initiatives and maintaining solution quality and delivery commitments.
Proactively identify risks, dependencies, and improvement opportunities; escalate issues early and drive resolutions independently.

Requirements

5+ years of relevant experience (listed as 5 to 7 years).
Strong proficiency in SQL and Python (or similar), 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, AI agents, or model tuning and fine-tuning workflows.
Experience with system design, data architecture, integration, version control, CICD, testing, deployment, and production support.
Experience with BI tools such as Tableau or Power BI for 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 (plus).
Familiarity with networking, telecommunications, capacity management, or network deployment (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.
Education: Bachelor’s Degree (degree possession is preferred; alternatives may be considered based on coursework and experience).
Visa: This position is ineligible for visa sponsorship; must be legally authorized to work in the United States without sponsorship now or in the future.

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

Job Summary

Support network capacity planning and optimization for next-generation products, including EOHFC, EPON vBNG, and FDX.
Build and maintain scalable data pipelines, BI and Planning applications, and automated quality check processes to enable forecasting, analysis, and operational decision-making.
Work across data engineering, analytics, and applied AI, with opportunities to support machine learning models, AI-assisted analysis, and workflow automation.

Location

Philadelphia, PA (onsite)

Pay Range

USD 108,578 - 162,868 per year
Pay range also listed for New Jersey: $108,578.72 - $162,868.08 (base pay within range depends on job-related, non-discriminatory factors such as experience).

Benefits

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

Application Window

30 days from the date the job is posted, unless the applicant volume requires earlier closure.

Disclaimer: This information describes the general nature and level of work performed and is not a comprehensive inventory of all duties, responsibilities, and qualifications.

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