Senior Data Engineer

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

We are seeking a skilled and motivated Sr Data Engineer with strong
experience in building and managing data pipelines across AWS cloud
services (Comcast Cloud Platform is a plus). The ideal candidate will also
bring hands-on experience in Machine Learning, Natural Language
Processing (NLP), and API development using Python, alongside a solid
understanding of the cable construction and network domain.

As a Data Engineer on our team, you'll be instrumental in enabling analytics,
intelligent applications, and real-time business insights by integrating and
transforming data from multiple systems in a secure, scalable, and efficient
way.

Job Description

Core Responsibilities

• Design, build, and maintain robust ETL/ELT pipelines using AWS Glue, Lambda, Python, PySpark, and Shell scripting
• Integrate and optimize structured and unstructured data sources including DynamoDB, Oracle, and external APIs
• Build and manage data lakes and warehouses on S3, Redshift, Athena, and RDS
• Implement and manage infrastructure using Terraform (IaC) and secrets management via HashiCorp Vault
• Develop and deploy APIs using Python (Flask, FastAPI) to serve machine learning models or expose processed datasets to internal tools
• Build and productionize machine learning pipelines using Python, S3, Glue, and ML libraries such as scikit-learn, spaCy, or transformers
• Apply Natural Language Processing (NLP) techniques to extract insights from text data sources such as service tickets, construction logs, or work orders
• Collaborate with domain SMEs to model and understand data across cable construction and network operations
• Develop and schedule data workflows using Concourse CI/CD
• Maintain and enhance legacy data workflows (e.g., Pentaho) during migration and modernization phases
• Ensure robust data quality, performance monitoring, and pipeline observability
• 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) and overtime as necessary.
• Other duties and responsibilities as assigned.

What You’ll Bring:

• A builder’s mindset with experience translating domain problems into clean, scalable data and ML solutions
• Strong software engineering fundamentals and appreciation for code quality and reusability
• Passion for improving decision-making through data and automation
• Clear communication and collaboration across cross-functional teams (engineering, product, analytics, and operations)

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.
• Respect and promote inclusion & diversity.
• Do what's right for each other, our customers, investors and our communities.