Data Engineer 3 - Reston, VA - Freewheel
comcast · IL - Chicago, 350 N. Orleans St 1300N · United States · On-site
Pay: USD 103,643 – 155,465 a year
Posted Sep 22, 2026
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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
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.
Job Description
Strong SQL proficiency
Programming language proficiency (Python preferred)
Proficiency in distributed computing frameworks (e.g., Apache Spark)
Cloud Data Warehouse management
Knowledge of at least one of cloud provider (AWS, GCP, or Azure)
Familiarity with data pipeline design pattern
Knowledge of data observability
Exposure to Embedded Business Intelligence like Looker is desired but not required
Exposure to modern data stack such as dbt, Airflow, Snowflake, Apache Spark is highly desired
Exposure to Data Consumption challenges and solutions is highly desired
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…