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Data Engineer 3 - Reston, VA - FreewheelComcast • United States
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Data Engineer 3 - Reston, VA - Freewheel

Comcast
  • US
    United States
  • US
    United States
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À propos

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 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 of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.
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.
Skills:
Data Lake; Data Warehouse ETL; Data Warehouse; Structured Query Language (SQL); Data Lakehouse Architecture; Data Transformation; Python (Programming Language)
Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That's why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality - to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary (https://jobs.comcast.com/benefits) on our careers site for more details.
Education
Bachelor's Degree
While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.
Relevant Work Experience
5-7 Years
Job Family Group:
Enterprise Analytics & Data Intelligence
  • United States

Compétences linguistiques

  • English
Avis aux utilisateurs

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