Sr. Data Engineer - Reston, VA - Freewheel

Job Summary This role focuses on advanced data structures and pipelines development and maintenance, ensuring data quality and integrity across diverse storage solutions, mentoring junior engineers, and contributing to internal tool development. Responsibilities Develop data structures and pipelines to standardize and transform data, ensuring insights generation and reporting needs are met. Ensure data quality throughout ingestion, processing, and loading to target tables, maintaining high standards. Create ingestion frameworks for structured/unstructured data, implementing quality checks and reporting mechanisms. Establish methods for data consumption by end users and downstream applications, including database views and APIs. Implement data solutions on platforms like Kubernetes, Teradata, and Databricks, ensuring alignment with architectural standards. Determine appropriate data storage on platforms based on privacy, access, and sensitivity requirements. Understand data lineage and transformation rules for efficient troubleshooting and impact analysis during changes. Collaborate with management partners to optimize data sourcing and processing, enhancing data quality and process efficiency. Mentor junior data engineers, fostering skill development and knowledge sharing within the team. Contribute to the creation and refinement of internal data engineering tools and frameworks to improve efficiency and scalability. Exercise independent judgment and discretion in matters of significance. Maintain regular, consistent, and punctual attendance; work nights and weekends and variable schedules as necessary. Qualifications Advanced SQL skills. Proficiency in a programming language (Python preferred). Experience with distributed computing frameworks (e.g., Apache Spark). Proficiency in Cloud data warehouse management, workflow orchestration, and automation. Experience working on at least one cloud provider (AWS, GCP, or Azure). Experience with data pipeline design patterns, data modeling, and data observability. Ability to independently own modules and communicate & review technical designs. Exposure to Ad‑Tech platforms highly preferred but not required. Prior experience or exposure to delivering customer‑facing data products and understanding of modern data stack (dbt, Airflow, embedded analytics) highly preferred (not required). Enjoy working in challenging analytics use cases and hard data shaping challenges. Education & Certifications Bachelor's Degree preferred; equivalent coursework and experience may be considered. Relevant certifications (if applicable). 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. #J-18808-Ljbffr