Data Engineer 3 - Virtual

About this role

Comcast Advertising is driving the TV advertising industry forward, from delivering ads to linear and digital audiences to pioneering the tech that makes it possible. We help brands connect with their audiences on every screen using advanced data, technology, and premium video content. Our media sales division helps local, regional, and national brands reach potential customers through multiscreen TV advertising. Our ad tech division FreeWheel provides comprehensive adtech that makes it easier to buy and sell premium video advertising across all screens, data types, and sales channels.Job Summary
Looking for a skilled Data Engineer with expertise in SQL and Python experienced in building large-scale data pipelines using Apache Spark and designing robust data architectures on AWS. The ideal applicant will have hands-on experience and curiosity to learn and develop skills in data lake architectures, open table formats (Delta Lake), and modern data platforms delivery self-service analytics for large number of users. If you are a problem solver, a data platform enthusiast, and someone who thrives in fast-paced environments, this is an opportunity for you!Job Description

What you can expect to do as part of this role

• Architect, design, and build high-performance, scalable data pipelines that support large-scale data processing needs.

• Develop complex Big Data ETL workflows using modern frameworks such as Databricks Delta Live Tables (DLT).

• Design and implement robust data lake architectures, including open table formats such as Delta Lake and Apache Iceberg.

• Define, promote, and enforce data engineering best practices to ensure data quality, integrity, reliability, and performance.

• Lead the implementation of observability and monitoring across pipelines, including data cataloging, lineage, and metadata management.

• Contribute to peer reviews, knowledge sharing, production support, incident resolution, and change management activities.

• Adhere to code management and version control best practices across all development workflows.

• Produce high-quality documentation including data flows, lineage diagrams, and architecture details, aligned to data engineering documentation standards.

• Ensure comprehensive code coverage through the creation of unit and integration tests, following test-driven development (TDD) principles.

• Own critical components of large-scale batch ETL systems and clearly articulate data models and design decisions to Product, Engineering, and Leadership stakeholders.

• Manage multiple priorities effectively, balancing long-term architectural direction with immediate business needs.

• Build advanced semantic layers and support the creation of customer-facing self-service analytics solutions.

• Exercise independent judgment and discretion in handling complex and impactful technical decisions.

• Maintain regular, consistent, and punctual attendance, with flexibility to work nights, weekends, or variable schedules asrequired.

• Demonstratestrongunderstanding of semantic layer technologies such as Looker, Tab, Snowflake, and Databricks.

• Performadditionalduties and responsibilities as assigned.

Things that will come in handy:

• Experience in Data Engineering.

• Proficient in Python,PySpark. Good grasp on SQL.

• Hands-on experience in Databricks and/or Snowflake is preferred

• Data Warehouse modeling paradigms

• Understanding ofCloud basedarchitectures. We use AWS.

• Problem solving skills

• Certifications

• AWS Certified Developer Associate

• Databricks Certified Data Engineer Associate

• SnowProAdvanced: Data Engineer

Responsibilities:

• Designing and constructing data architectures and pipelines to standardize, transform, and ensure the integrity of data for business insights

• Guaranteeing data quality throughout the ingestion, processing, and loading phases, with a focus on maintaining high standards

• Engineering robust ingestion frameworks for a variety of data types, while monitoring and reporting on data quality

• Developing accessible methods for data consumption, including APIs, database views, and data extracts for user applications

• Implementing data solutions on multiple platforms such as Kubernetes, Teradata, and cloud services like AWS and Databricks

• Selecting appropriate data storage platforms based on data sensitivity, privacy requirements, and access needs

• Mastering data lineage and applying transformation rules for effective change management and issue resolution

• Collaborating with cross-functional teams to refine data sourcing and processing, ensuring optimal data quality and efficiency

• 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…