Comcast · 3 weeks ago
Data Engineer 3, Comcast Global Audit
TX - Austin, 6200 Bridge Point Pkwy
Full-time
Onsite
Senior Level
5+ years expComcast is a Fortune 50 leader in media and technology that drives innovation to create the world's best entertainment and online experiences. The Data Engineer (Level 3) plays a key role in supporting Comcast Global Audit by maintaining a modern audit data platform focused on advanced data analytics, automation, and artificial intelligence.
InternetTelecommunicationsTVVideoWeb Hosting
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
Qualification
Required
5-7 Years of relevant work experience
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
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
Preferred
Bachelor's DegreeWhile possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience
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.
Company
Comcast
Comcast is a media and technology company that provides broadband internet, mobile services, and entertainment platforms. It is a sub-organization of SkyShowtime.
10001+ employees
H1B Sponsorship
Comcast has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (705)
2024 (561)
2023 (624)
2022 (750)
2021 (588)
2020 (583)
Funding
Current Stage
Public CompanyTotal Funding
$4.92BKey Investors
California Public Utilities CommissionMassachussetts Broadband InstituteMaine Connectivity Authority
2025-11-13Grant· $3.2M
2024-07-02Grant· $2.69M
2023-04-24Grant· $0.28M
Leadership Team
Neil Smit
President and Chief Executive Officer
Candy Lawson
SVP, Chief Compliance Officer and Senior Deputy General Counsel
Recent News
Fierce Network
2026-01-11
2026-01-07
2026-01-07
Company data provided by crunchbase