Engineer 3, Data Engineer-Xumo

Xumo, a joint venture between Comcast and Charter Communications, was formed to develop and offer a next-generation streaming platform for the entire entertainment industry. The company consists of three primary lines of business: Xumo devices, Xumo Play, and Xumo Enterprise. Powered by Comcast's global entertainment platform, Xumo devices feature a world-class user interface with universal voice search capabilities, making it easy for consumers to find and enjoy their favorite streaming content. Xumo Play is a free ad-supported streaming TV (FAST) service offering hundreds of linear channels and on-demand options. Xumo Enterprise provides tools and services for content creators, distributors, and advertisers to make FAST content more accessible.
Job Summary
The Data Engineer will play a pivotal role in extracting, transforming, and analyzing data to provide actionable insights and drive data-informed decisions. This role involves designing and implementing data pipelines, building data models, and developing analytical solutions to optimize ad performance and operational efficiency. The ideal candidate will have a strong background in data engineering, analytics, and a solid understanding of digital advertising principles.
Job Description
Key Responsibilities:

• Data Pipeline Development:
  • Design, develop, and maintain robust data pipelines to ingest data from various sources into Xumo's Enterprise Data Warehouse.
  • Also process and store data from various sources (e.g., ad serving logs, campaign data, user behavior data).
  • Monitor data pipeline performance and identify areas for optimization.
• Data Modeling and Warehousing:
  • Develop and maintain data models and schemas optimized for analytical querying and reporting.
  • Design and implement data warehousing solutions to support efficient data storage and retrieval.
  • Work with cloud-based data platforms (e.g., Google BigQuery, Snowflake).
  • Clear understanding of Enterprise Data Warehouse concepts.
• Analytical Solutions Development:
  • Develop and implement analytical solutions, including dashboards, reports, and visualizations, to monitor ad performance, identify trends, and provide actionable insights.
  • Utilize data mining and statistical techniques to uncover data patterns and correlations in ad data.
  • Build and maintain reporting systems that provide key performance indicators (KPIs) related to ad campaigns and system performance.
  • Analyze ad performance data to identify opportunities for campaign optimization and revenue growth.
  • Provide data-driven recommendations to improve ad targeting, delivery, and reporting.
• Performance Monitoring and Optimization:
  • Implement ETL/ELT processes to transform raw data into a structured, normalized enterprise level Data Marts in a usable format for analysis.
  • Ensure data quality, consistency, and reliability throughout the various lifecycle of the ingested data.
• Collaboration and Communication:
  • Collaborate with software engineers, product managers, and other stakeholders to understand data requirements and deliver data-driven solutions.
  • Communicate complex data insights effectively to both technical and non-technical audiences.
  • Work closely with the QA team to validate data accuracy.

Required Qualifications:

• Strong programming skills in Python, SQL.
• Experience with data pipeline development and ETL/ELT processes.
• Experience with big data technologies (e.g., Spark, Hadoop).
• Proficiency in working with both relational and NoSQL databases.
• Experience with cloud-based data platforms (e.g., AWS, Google Cloud).
• Clear understanding of Data Warehousing concepts and technologies.
• Experience with data visualization tools (e.g., Tableau, Power BI, Looker, Periscope/Sisense).
• Strong analytical and problem-solving skills.
• Understanding of digital advertising principles and metrics.
• Understanding of data governance.

Nice to Have:

• Knowledge of machine learning techniques and applications.
• Knowledge of Data Modeling.
• Experience with real-time data processing and streaming.
• Familiarity with ad server technologies and protocols (e.g., VAST, VPAID).
• Experience with version control systems (Git).
• Experience with data quality tools.

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. Comcast will consider for employment applicants with arrest or conviction records in accordance with the requirements of applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Please note that federal state, or local laws and regulations may restrict or prohibit Comcast from hiring individuals convicted of certain crimes. Additionally, an applicant's criminal history may have a direct, adverse, and negative relationship on the job duties of this position, which may result in the withdrawal of a conditional offer of employment.
Skills:
Data Modeling; Data Visualization; Structured Query Language (SQL); Python (Programming Language)
Salary:
Primary Location Pay Range: This job can be performed in California with a good faith estimated pay range upon hire of $120,212.52 - $160,283.36 USD.
Comcast intends to offer the selected candidate base pay within the posted range for this role at the time of posting dependent on job-related, non-discriminatory factors such as experience. The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later.
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 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