Hybrid Data Engineer 3

at NBCUniversal

• Job title: Data Engineer 3
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Airflow, AWS, Cyber Security, ETL, MS SQL Server, Oracle, Python, Spark, SQL, Tableau
• Location requirements: Hybrid, Philadelphia, United States

About the role

• Data Engineer 3 maintaining Comcast's audit data platform architecture while supporting advanced analytics and automation. Involves project management, designing data pipelines, and ensuring data quality and security.

Responsibilities

• Maintaining the data platform architecture and environments, including but not limited to patching, monitoring, tuning, etc.
• Reviewing and supporting data pipelines and queries running through the data platform providing feedback regarding performance tuning and scalable query best practices
• Upgrading and maintaining systems and tools used by the audit team (i.e. TeamMate+)
• Demonstrates project management skills for data platform maintenance / upgrades, including proposing project plans, scheduling deliverables across CGA teams, executing per plan, and messaging status/issues to management.
• Designs, builds, and maintains resilient, automated data pipelines.
• Introduces and maintains data quality checks and observability tooling (e.g., Monte Carlo, Great Expectations) to ensure data accuracy, lineage, and pipeline reliability.
• Builds end-to-end pipeline monitoring: logging, alerting, and traceability from source ingestion to report-ready datasets.
• Supports CI/CD pipelines (e.g., GitHub Actions) for secure, auditable deployments of infrastructure and code.
• Manages data integration across diverse sources (APIs, SFTP, databases) using secure, repeatable patterns with version control and infrastructure-as-code practices.
• Independently delivers robust data engineering solutions with minimal supervision, including root-cause analysis and long-term fixes.
• Leads code reviews and contributes to evolving team-wide engineering standards, documentation, and architecture, championing best practices.
• Maintains strong operational rigor in maintaining cyber compliance, patching, resiliency, upgrades, etc.
• Ensures all data is secure and follows company policies regarding data classification.
• Analyzes data to assess compliance with established policies/procedures, best practices, US GAAP, and legal/governmental requirements.
• Uses data concepts, tools, and programming techniques including SQL, dbt, Snowflake, Airflow, Tableau, AWS, MS SQL Server, Oracle BI, Teradata, Databricks, Alteryx, Spark, Python, and R to perform ETL and data analysis activities.
• Develops process flows, prototypes, and requirements documentation to accelerate stakeholder understanding and guide solution development.
• Creates, documents, and executes support process steps and test procedures to ensure data deliverables are accurate and sustainable.
• Facilitates discussions that lead to decision-making throughout the lifecycle of creating and enhancing data solutions.
• Prepares clear and well-organized analysis workpapers, documenting root-cause (as applicable), work performed, findings, and recommendations.
• Creates graphical reports and executive presentations to effectively summarize analysis and findings.
• Consistently exercises independent judgment and discretion in matters of significance.
• Assists with managing, scheduling, monitoring, and maintaining automated processes in production.
• Supports department objectives and performs other duties and responsibilities, as assigned.

Requirements

• Bachelor's Degree
• 5-7 Years Relevant Work Experience
• AWS
• Devops
• Cybersecurity
• Data Engineering
• Snowflake Data Warehouse
• System Operations

Benefits

• array of options, expert guidance and always-on tools that are personalized to meet the needs of your reality—to help support you physically, financially and emotionally through the big milestones and in your everyday life.