Engineer 3, Data Engineering

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.

This job independently designs, develops, and manages advanced data structures and pipelines, ensuring data quality and accessibility. It strategically implements data solutions across various platforms, maintaining compliance with privacy and regulatory standards. The role acts as a technical resource, optimizing data processes and storage to support key business initiatives.

Required Skills Experience in Data Engineering, Data Platform Engineering, or related fields. Strong hands-on expertise in Python. Advanced experience with PySpark or Apache Spark. Strong SQL development, optimization, and data modeling skills. Experience working with AWS-based data platforms and services. Hands-on experience designing and maintaining ETL solutions. Understanding modern Data Architecture, Data Warehousing, and Lakehouse concepts. Experience with Git, CI/CD pipelines, and Agile delivery models. Practical experience in Data Governance implementation. Knowledge of Metadata Management, Data Cataloging, Data Lineage, and Data Stewardship. Exposure to MDM, data compliance, and regulatory requirements.

Designing and constructing data architectures and pipelines to standardize, transform, and ensure the integrity of data for business insights Guaranteeing data quality throughout the ingestion, processing, and loading phases, with a focus on maintaining high standards Engineering robust ingestion frameworks for a variety of data types, while monitoring and reporting on data quality Developing accessible methods for data consumption, including APIs, database views, and data extracts for user applications Implementing data solutions on multiple platforms such as Kubernetes, Teradata, and cloud services like AWS and Databricks Selecting appropriate data storage platforms based on data sensitivity, privacy requirements, and access needs Mastering data lineage and applying transformation rules for effective change management and issue resolution Collaborating with cross-functional teams to refine data sourcing and processing, ensuring optimal data quality and efficiency Consistent exercise of independent judgment and discretion in matters of significance. Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) as necessary. Other duties and responsibilities as assigned. Employees at all levels are expected to: Understand our Operating Principles; make them the guidelines for how you do your job. Own the customer experience think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services. Know your stuff be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences. Win as a team make big things happen by working together and being open to new ideas. Be an active part of the Net Promoter System a way of working that brings more employee and customer feedback into the company by joining huddles, making call backs and helping us elevate opportunities to do better for our customers. Drive results and growth. Support a culture of inclusion in how you work and lead. Do what's right for each other, our