Data Engineer 3, Comcast Global Audit

Comcast • Austin, TX

1d

About The Position

Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast. Job Summary The Data Engineer (Level 3) plays an important role in driving best practices supporting Comcast Global Audit (CGA) by sustaining a modern audit data platform supporting advanced data analytics, automation, and artificial intelligence. This role focuses on maintaining a scalable, resilient data platform architecture and related data pipelines with a strong emphasis on automation, quality, governance, and observability. The ideal candidate brings technical expertise, 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 3) is responsible for: • 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+) 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

• 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.
• 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 other team members in understanding and executing data analytics and automation activities.
• 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%.
• 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.
• Educates audit team members on data analytics and automation techniques through daily interactions.
• 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
• Skills AWS Devops, Cybersecurity, Data Engineering, Snowflake Data Warehouse, System Operations
• Bachelor's Degree
• Relevant Work Experience 5-7 Years

Responsibilities

• 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.

Benefits

• We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That's why we provide 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.
• Please visit the benefits summary on our careers site for more details.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees