Data Engineer 3
Comcast
Data Engineer 3 at Comcast is a full time role based in Comcast India Engineering Cent, India. It was published on 6 August 2026 and was open at last check.
| Role | Data Engineer 3 |
|---|---|
| Company | Comcast |
| Location | Comcast India Engineering Cent, India |
| Employment type | Full Time |
| Published | 6 August 2026 |
| Status | Open at last check |
Job Summary
Job Description
FreeWheel , a Comcast company, provides comprehensive ad platforms for publishers, advertisers, and media buyers. Powered by premium video content, robust data, and advanced technology, we’re making it easier for buyers and sellers to transact across all screens, data types, and sales channels. As a global company, we have offices in nine countries and can insert advertisements around the world.
Job Summary
Responsible for building and optimizing scalable data pipelines and data solutions to support analytics, reporting, and downstream applications. Develops efficient SQL-based transformations, ingestion frameworks, and reusable data processing logic to ensure high-quality, reliable data delivery across cloud environments.
Works with data platforms such as Snowflake, Databricks, and distributed processing frameworks, with a strong focus on advanced SQL, programming proficiency , and cloud-based data engineering. Ensures data quality, governance, and lineage to support accurate insights and dependable decision-making.
Collaborates with cross-functional teams to improve data sourcing, processing efficiency, and operational reliability. Acts as a strong individual contributor in complex environments, supports junior engineers, and helps improve internal data engineering tools and frameworks.
Job Description
Skills and Experience
5–7+ years of experience in Data Engineering
Advanced SQL with strong query writing and optimization expertise
Strong proficiency in Python (preferred) or similar programming languages
Experience with at least one cloud platforms such as AWS, GCP, or Azure
Experience with Snowflake / Databricks .
Exposure to distributed computing frameworks such as Apache Spark
Exposure to cloud data warehouse management, workflow orchestration & automation (e.g., dbt , Airflow)
Experience with CI/CD implementation and deployment processes
Ability to work independently while contributing to team standards and best practice s
Responsibilities
Develop and maintain data structures and pipelines to standardize and transform data for analytics and reporting needs
Write efficient SQL queries and transformations to support reliable data processing
Ensure data quality across ingestion, processing, and loading into target tables
Build ingestion frameworks for structured and unstructured data with validation and quality checks
Establish data consumption methods for end users and downstream applications such as views and APIs
Implement data solutions on platforms like Snowflake and Databricks in alignment with architectural standards
Use cloud storage and processing technologies such as AWS S3, Iceberg, and Snowflake based on data requirements
Define and maintain data lineage and transformation logic for troubleshooting and impact analysis
Collaborate with stakeholders to improve data sourcing, processing efficiency, and overall data quality
Support and mentor junior data engineers through knowledge sharing and technical guidance
Contribute to the improvement of internal data engineering tools, frameworks, and automation to enhance efficiency and scalability
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.
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 benefits summary on our careers site for more details.
Education
Certifications (if applicable)
Relevant Work Experience
Create your free OnJob profile to apply — we'll take you to Comcast's application after sign-up. · Posted 6 Aug 2026.
Data Engineer 3 at Comcast — questions answered
What does the Data Engineer 3 role at Comcast pay?
Comcast does not publish a salary on this Data Engineer 3 listing, so OnJob shows no figure for it rather than an estimate. For what this role pays across the market, the OnJob salary guides aggregate the live listings that do disclose pay.
Where is the Data Engineer 3 role at Comcast based?
Comcast lists this Data Engineer 3 role in Comcast India Engineering Cent, India, advertised as full time work at that location. Larger employers sometimes cover several sites under one city name, so confirm the exact office with Comcast before you apply.
Is the Data Engineer 3 role at Comcast still open?
The Data Engineer 3 posting at Comcast was open at OnJob's last check of the employer's careers page, having been published on 6 August 2026. OnJob re-checks source listings on each build and marks a role closed once it disappears, but listings can close without notice, so the employer's own page is the final word.
How do you apply for the Data Engineer 3 role at Comcast?
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