Data Engineer 3

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.

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.

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.

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