Data Engineer 4

Sorry, this job was removed at 04:55 p.m. (UTC) on Thursday, Aug 06, 2026
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Chennai, Tamil Nadu, IND
Hybrid
Senior level
Digital Media • Information Technology • News + Entertainment
Come to Comcast and bring connection to life.
The Role
Design, build, and maintain advanced data structures and pipelines; ensure data quality and lineage; implement ingestion frameworks; optimize storage and consumption (views/APIs); mentor junior engineers; contribute to internal tools; work with Kubernetes, Teradata, and Databricks; support variable schedules including nights/weekends.
Summary Generated by Built In
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
This role concentrates on advanced data structures and pipelines development and maintenance, upholding quality and integrity in diverse storage solutions. It involves optimizing data flows, mentoring junior engineers, and contributing to internal tool development. The role serves as a key expert, providing strategic guidance and innovative solutions in data engineering.
Job Description
Responsibilities:
  • Developing data structures and pipelines to standardize and transform data, ensuring insights generation and reporting needs are met
  • Ensuring data quality throughout ingestion, processing, and loading to target tables, maintaining high standards
  • Creating ingestion frameworks for structured/unstructured data, implementing quality checks and reporting mechanisms
  • Establishing methods for data consumption by end users and downstream applications, including database views and APIs
  • Implementing data solutions on platforms like Kubernetes, Teradata, and Databricks, ensuring alignment with architectural standards
  • Determining appropriate data storage on platforms based on privacy, access, and sensitivity requirements
  • Understanding data lineage and transformation rules for efficient troubleshooting and impact analysis during changes
  • Collaborating with management partners to optimize data sourcing and processing, enhancing data quality and process efficiency
  • Mentoring junior data engineers, fostering skill development and knowledge sharing within the team
  • Contributing to the creation and refinement of internal data engineering tools and frameworks to improve efficiency and scalability
  • 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 customers, investors and our communities.

Disclaimer: This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.
Comcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.
Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. 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 compensation and benefits summary on our careers site for more details.
Education
Bachelor's Degree
While 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.
Relevant Work Experience
7-10 Years

Skills Required

  • 7-10 years relevant work experience
  • Bachelor's degree (or equivalent coursework/experience)
  • Experience developing data structures and ETL/ELT pipelines
  • Ensuring data quality across ingestion, processing, and loading
  • Experience creating ingestion frameworks for structured and unstructured data
  • Familiarity with Kubernetes
  • Experience with Teradata
  • Experience with Databricks
  • Knowledge of data lineage, transformation rules, and impact analysis
  • Experience building database views and APIs for data consumption
  • Mentoring or leading junior data engineers

What the Team is Saying

Justin
Ying
Margi
James
Jackie-Jane

Comcast Compensation & Benefits Highlights

  • Healthcare Strength Company-sponsored medical, dental, and vision plans with 24/7 virtual care and mental-health resources (therapy/coaching and Calm app) are prominently offered. Feedback suggests these pillars are a standout component of the package.
  • Retirement Support A 401(k) with company match, financial coaching, and tuition reimbursement are consistently highlighted in official materials, and many roles note access to an Employee Stock Purchase Plan. These programs are positioned as meaningful parts of total rewards.
  • Parental & Family Support Paid parental leave for primary and non‑primary caregivers, fertility and family‑forming coverage, adoption/surrogacy reimbursements, and backup child/elder care are called out. Feedback suggests this breadth is a notable strength for caregivers.

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