Data Engineer 3 - Reston, VA - Freewheel

Job Overview 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. The role 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. Responsibilities Design and construct data architectures and pipelines to standardize, transform, and ensure data integrity for business insights. Guarantee data quality throughout ingestion, processing, and loading phases, focusing on high standards. Engineer robust ingestion frameworks for a variety of data types, while monitoring and reporting on data quality. Develop accessible data consumption methods, including APIs, database views, and data extracts for user applications. Implement data solutions on multiple platforms such as Kubernetes, Teradata, AWS, and Databricks. Select appropriate data storage platforms based on sensitivity, privacy requirements, and access needs. Master data lineage and apply transformation rules for effective change management and issue resolution. Collaborate with cross‑functional teams to refine data sourcing and processing, ensuring optimal data quality and efficiency. Exercise independent judgment and discretion in matters of significance. Maintain regular, punctual attendance; work nights, weekends, and variable schedules as needed. Required Skills & Experience Strong SQL proficiency. Python programming proficiency (preferred). Experience with distributed computing frameworks, e.g., Apache Spark. Cloud data warehouse management experience. Knowledge of at least one cloud provider: AWS, GCP, or Azure. Familiarity with data pipeline design patterns and data observability. Experience with embedded business intelligence tools such as Looker (desired). Experience with modern data stack components: dbt, Airflow, Snowflake, and Spark. Experience addressing data consumption challenges and solutions. Data Lake, Data Lakehouse Architecture, Data Transformation, Data Warehouse, and Data Warehouse ETL skills. Education & Qualifications Bachelor’s degree (preferred; extensive related experience may substitute). 5–7 years of relevant work experience. Relevant certifications, if applicable. Benefits Benefits options include physical, financial, and emotional support resources tailored to employee needs. Please view the benefits summary on the careers site for more details. EEO Statement 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. Disclaimer The information above provides a general overview of the role. It is not a complete inventory of duties, responsibilities, or qualifications. #J-18808-Ljbffr