Senior Data Engineer, Commerce Platform

Comcast • Philadelphia, PA

4d

About The Position

Make your mark at Comcast -- a Fortune 30 global media and technology company. From the connectivity and platforms we provide, to the content and experiences we create, we reach hundreds of millions of customers, viewers, and guests worldwide. Become part of our award-winning technology team that turns big ideas into cutting-edge products, platforms, and solutions that our customers love. We create space to innovate, and we recognize, reward, and invest in your ideas, while ensuring you can proudly bring your authentic self to the workplace. Join us. You’ll do the best work of your career right here at Comcast. (In most cases, Comcast prefers to have employees on-site collaborating unless the team has been designated as virtual due to the nature of their work. If a position is listed with both office locations and virtual offerings, Comcast may be willing to consider candidates who live greater than 100 miles from the office for the remote option.) Job Summary Job Summary The Senior Data Engineer designs, builds, and manages enterprise-scale data solutions that power commerce operations across order management, provisioning, sales, and fulfillment. This role combines technical depth with strategic leadership, driving best practices in data architecture, engineering, governance, and AI-driven development. The engineer also mentors peers, contributes to business strategy, and ensures data integrity across the commerce ecosystem. Job Description Commerce – Efficacy & Assurance (CE&A) The IT Sales & Ordering – Efficacy and Assurance (SOEA) team is part of Comcast’s Commerce Xperience Platform, working alongside SalesTech and OrderTech. The team ensures the reliability and effectiveness of sales and ordering systems supporting Xfinity Mobile, Internet, TV, NOW products, and OTT services.

Requirements

• Expert-level proficiency in Python, Scala, and/or Java
• Strong ETL/ELT engineering experience
• Hands-on experience with big data technologies (PySpark, Presto, Athena)
• Cloud expertise with AWS (S3, Redshift, EMR)
• Experience with Databricks and modern lakehouse architectures
• Advanced SQL and database design skills
• Proven ability to lead technical initiatives and mentor developers
• Strong communication and ability to present to leadership
• Experience in Agile/Scrum environments
• Ability to translate business needs into scalable technical solutions
• Excellent analytical and problemsolving capabilities
• Bachelor’s degree in Computer Science, Engineering, or equivalent industry experience
• 7-10 Years Relevant Work Experience

Nice To Haves

• Experience with Kubernetes, Teradata, minIO
• Data modeling (dimensional modeling, slowly changing dimensions)
• Streaming technologies (Kafka, Kinesis)
• Git and CI/CD tooling
• Experience using AI Workbench for data design (preferred)

Responsibilities

• Architect, build, and optimize scalable data pipelines and ETL/ELT processes using Python, Scala, Java, PySpark, Presto, and Athena.
• Engineer data solutions across hybrid environments (Kubernetes, Teradata, minIO, AWS S3, Databricks).
• Develop data models, schemas, and storage strategies based on privacy, performance, and access needs.
• Implement data ingestion, transformation, archival, and frameworks aligned with enterprise standards.
• Ensure high data quality from ingestion to consumption; build automated data validation and profiling.
• Maintain data dictionaries, lineage, flow diagrams, and transformation logic for troubleshooting
• Enforce privacy rules, sensitivity classifications, and governance standards across all datasets.
• Support cross-system reconciliation accuracy targets (95%+ within 24 hours).
• Build pipelines powering operational reporting for sales, orders, fulfillment, churn, and business KPIs.
• Implement anomaly detection to surface fraud risks, order fallout, and system irregularities.
• Provide data validation during integration and release testing across the customer journey.
• Create data assets that measure feature efficacy, product impact, and revenue/ARPU drivers.
• Apply AI/ML techniques for automated data transformation, cleansing, and predictive insights.
• Use Copilot and prompt engineering for solution design, code generation, debugging, and documentation.
• Use AI Workbench utilities for solution architecture and data development.
• Practice testdriven development in an Agile/Scrum environment.
• Collaborate with product, architecture, engineering, and executive teams to define data needs and solutions.
• Translate complex business requirements into detailed technical designs.
• Lead design reviews, code reviews, and enforce architectural best practices.
• Mentor engineers on data engineering practices, tooling, and modern development standards.
• Contribute across SOEA sub-teams including Sales, Orders, Risk, Billing, Fulfillment, and Provisioning.
• Review business and product requirements; propose enhancements to data systems and architecture.
• Develop user stories, requirements, and documentation for enterprise initiatives.
• Monitor emerging technologies and incorporate modern trends into longterm platform strategy.
• Support development of tactical and strategic solution architectures.
• Participate in business strategy and decision-making impacting technology direction.
• Apply deep experience in Order Management, Sales, Provisioning, and Fulfillment domains.
• Ensure data solutions support Xfinity and NOW products (Mobile, Internet, TV, OTT).
• Deliver architectures that balance short-term needs with long-term scalability and modernization.

Benefits

• Medical & Dental
• 401(k) Savings Plan
• Generous paid time off
• Life Milestones - from adoption assistance, childcare resources, pet insurance, and more, Comcast supports you at all life stages.
• Courtesy Services - We offer all of our full-time employees in serviceable areas free digital TV and internet.

What This Job Offers

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