Data Engineer III - AI-Powered Pipelines & ML

Comcast Corporation; Philadelphia (Philadelphia County); On-site; USD 109,000 - 163,000; Full time

Benefits offered by this job

Best-in-class Benefits to eligible

Array of options, expert guidance

Personalized support

Job summary

Comcast Corporation in Philadelphia, PA is seeking a Data Engineer III to deliver trusted, scalable data capabilities for network capacity planning and optimization. The role focuses on building and maintaining scalable data pipelines, ELT/ETL processes, and AI-enabled analytics to support forecasting and operational decision-making.

The candidate will collaborate across data engineering, analytics, applied AI, and product teams, driving performance, governance, and automation while adapting to

Qualifications

• 5+ years of relevant experience (listed as 5 to 7 years).
• Strong proficiency in SQL and Python with 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, CI/CD, 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.
• 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 preferred; alternatives may be considered.

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 ML 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; elevate issues early and drive resolutions independently.

Skills

SQL proficiency

Python

Data engineering

Data quality

Data analytics

ML workflows

AI-enabled analytics

Cross-functional communication

Problem solving

Ownership

Learning new tech

Education

Bachelor's Degree

Tools

AWS

Databricks

Spark

Tableau

Power BI

Airflow

CI/CD

Job description

Comcast Corporation in Philadelphia, PA is seeking a Data Engineer III to deliver trusted, scalable data capabilities for network capacity planning and optimization. The role focuses on building and maintaining scalable data pipelines, ELT/ETL processes, and AI-enabled analytics to support forecasting and operational decision-making.

The candidate will collaborate across data engineering, analytics, applied AI, and product teams, driving performance, governance, and automation while adapting to