AI / Data Engineer 4 – Comcast Global Audit

Comcast • Austin, TX

19h • Remote

About The Position

The AI / Data Engineer (Level 4) plays a critical role in driving best practices supporting Comcast Global Audit (CGA) by building, supporting, and maintaining a modern audit data platform supporting advanced data analytics, automation, and artificial intelligence. This role focuses on designing scalable, resilient data pipelines and AI solutions with a strong emphasis on automation, quality, governance, and observability. The ideal candidate brings deep technical expertise, strong system thinking, and the ability to lead technical decisions that drive scalability, trust, and transparency across the audit data ecosystem. As part of CGA team, the Data Engineer (Level 4) is responsible for turning fragmented, manual data inputs into production-grade pipelines that support audit engagements across Comcast’s business units, supporting and providing feedback in the design of scalable data solutions that support audit objectives, overseeing other team members in driving consistency across data ecosystem, and proactively identifying improvement areas that can lead to increased standardization and automation, leveraging artificial intelligence where relevant, strategically aligning with audit senior leaders on ways to improve and streamline audit testing. This role offers broad exposure to the Comcast Corporation through the audit process and provides opportunities to influence risk management strategies through data-driven insights.

Requirements

• Artificial Intelligence (AI)
• CI/CD
• Collaboration
• Data Engineering
• Data Infrastructure
• Data Pipelines
• Solid project management skills for data or automation related projects
• Strong analytical skills and business knowledge
• Ability to quickly grasp complex subject matter
• Strong interpersonal skills including written and verbal communications
• Ability to work in a complex, dynamic, and fast-paced environment
• Deep technical expertise
• Strong system thinking
• Ability to lead technical decisions that drive scalability, trust, and transparency across the audit data ecosystem
• Experience with data quality checks and observability tooling (e.g., Monte Carlo, Great Expectations)
• Experience with CI/CD pipelines (e.g., GitHub Actions)
• Experience with data integration across diverse sources (APIs, SFTP, databases) using secure, repeatable patterns with version control and infrastructure-as-code practices
• Proficiency in SQL
• Proficiency in dbt
• Proficiency in Snowflake
• Proficiency in Airflow
• Proficiency in Tableau
• Proficiency in AWS
• Proficiency in MS SQL Server
• Proficiency in Oracle BI
• Proficiency in Teradata
• Proficiency in Databricks
• Proficiency in Alteryx
• Proficiency in Spark
• Proficiency in Python
• Proficiency in R
• Experience with AI technologies and building solutions using MS CoPilot, GitHub CoPilot, Azure, ChatGPT, etc.
• Knowledge of US GAAP and legal/governmental requirements
• Knowledge of IT controls and cyber security concepts
• Bachelor's Degree (or some combination of coursework and experience, or extensive related professional experience)
• 7-10 Years Relevant Work Experience

Responsibilities

• Turning fragmented, manual data inputs into production-grade pipelines that support audit engagements across Comcast’s business units
• Supporting and providing feedback in the design of scalable data solutions that support audit objectives
• Overseeing other team members in driving consistency across data ecosystem
• Proactively identifying improvement areas that can lead to increased standardization and automation, leveraging artificial intelligence where relevant, strategically aligning with audit senior leaders on ways to improve and streamline audit testing
• Demonstrates solid project management skills for data or automation related projects, including developing project plans and budgets, scheduling deliverables across CGA teams, executing per plan, and messaging status/issues to management
• Designs, builds, and maintains resilient, automated data pipelines and AI solutions
• Implements modular, well-documented transformation logic and data models to support standardized audit workflows
• 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
• Develops and 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 engineering solutions with minimal supervision, including root-cause analysis and long-term fixes for data pipeline issues
• Leads code reviews and contributes to evolving team-wide engineering standards, documentation, and architecture, championing best practices
• Delivers incremental benefits with tangible deliverables balancing short-term audit needs with long-term architectural improvements that reduce technical debt and manual effort
• Maintains strong operational rigor such as writing testable, observable, well-documented code that scales across engagements
• Engages in collaborative planning and sprint cycles with cross-functional data teams to align on scope, milestones, and blockers
• 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
• Uses AI technologies and builds solutions using MS CoPilot, GitHub CoPilot, Azure, ChatGPT, etc.
• 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
• Accountable for and reviews team workpapers, presentations, and other documentation to ensure they are clear, complete, and well-organized
• 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
• Demonstrates the ability to quickly grasp complex subject matter and apply strong analytical skills and business knowledge to assessing processes, risks, and controls
• Stays current on data analytics trends (e.g., new tools, statistical methods, visualization techniques), data engineering (e.g., orchestration, observability, step functions, cloud patterns, data governance) and emerging technologies that impact audit work (e.g., AI, Blockchain, RPA)
• Continuously explores and evaluates new tools, libraries, and frameworks relevant to data quality, automation, and audit transparency
• Performs effectively as a project leader across engagements
• Shows flexibility in prioritizing and completing tasks, allocating/re-allocating work across engagement team members, or stepping in to support execution, as appropriate
• Works with discretion applying sound judgment regarding work details on assignments of a varied and difficult nature while maintaining personal and broader team accountability and ownership
• Utilizes creative thinking, individual initiative, and flexibility in prioritizing and completing tasks
• Exhibits willingness to tackle new areas and challenging topics
• Demonstrates the ability to work in a complex, dynamic, and fast-paced environment
• Assists less experienced team members in understanding and executing data analytics and automation activities
• Provide ongoing feedback and follow-up to less experienced team members on work completion and performance, as well as ensuring timely delivery of data deliverables for audit engagements
• Assists less experienced team members in ensuring data deliverables supporting audit engagements are designed with shared logic and developed consistent, accurate, and scalable
• Provides coaching, guidance, and development on interactions with business management and stakeholders
• Identifies opportunities for improvement to team activities, tools, and training
• Transparently keeps CGA management informed of findings / status / important issues as they arise
• Acts in accordance with stated CGA and company policies and practices, and maintains the highest degree of integrity in all activities and interactions
• Displays regular, consistent, and punctual attendance
• Able to work nights and weekends, variable schedule(s), as necessary
• Out-of-town travel may be required at up to approximately 20%
• Collaborates with members of CGA engagement teams to understand audit activities and identify ways that data analytics and/or automation can enhance overall work product, productivity, or audit coverage
• Partners strategically with members of audit senior leadership across engagement activities, understanding their perspectives, and proposing / discussing solutions that manage risk and optimize team resources
• Exhibits strong interpersonal skills including written and verbal communications, and an ability to collaborate with others
• Shows respect to other team members and clients in all interactions
• Demonstrates a willingness to assist other team members in areas outside of direct assignments, when necessary
• Collaborates in a virtual environment to complete projects with team members in various locations
• Supervises engagement staff member’s interactions with business management and helps team members to resolve issues
• Engages and builds collaborative relationships with key business partners, other risk functions, and system owners in engagement activities (e.g., Legal, Human Resources, Security, TPX, EBI, etc.), as needed
• Coaches audit team members on data analytics, automation techniques, and business knowledge
• Assists engagement team in developing their understanding of relevant business risks and trains team on how to consider when planning and executing engagements
• Utilizes available resources and tools to research and expand knowledge to enhance work product
• Exhibits a commitment to continuously self-improve by working with leadership to leverage strengths and focus on areas of development
• Gains knowledge of IT controls and cyber security concepts and actively applies to engagements
• Manages and mentors engagement team members to develop audit, data, and business knowledge
• Assists less experienced team members with furthering their own development

Benefits

• An 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.

What This Job Offers

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