Data Engineer: ETL Developer & Cloud Engineering

Make your mark at Comcast -- a Fortune 30 global media and technology company. From the connectivity and platforms we provide, to the content and experiences we create, we reach hundreds of millions of customers, viewers, and guests worldwide. Become part of our award-winning technology team that turns big ideas into cutting-edge products, platforms, and solutions that our customers love. We create space to innovate, and we recognize, reward, and invest in your ideas, while ensuring you can proudly bring your authentic self to the workplace. Join us. You’ll do the best work of your career right here at Comcast. (In most cases, Comcast prefers to have employees on-site collaborating unless the team has been designated as virtual due to the nature of their work. If a position is listed with both office locations and virtual offerings, Comcast may be willing to consider candidates who live greater than 100 miles from the office for the remote option.)

Job Summary

Global Product Business Operations is a growing team that is part of the newly formed Chief of Staff Organization under the Global Product Organization (GPO). Focusing on financial operations, Bus Ops provides strategic and operational support to enable Global Product to run effectively and efficiently. Uniquely positioned, Bus Ops supports Comcast, Sky, Xumo and CTS. Our focus areas are driving financial operations, analyzing resource and investment allocations, and sharing data analytics & reporting to inform investment decisions.

Job Description

This position is ineligible for visa sponsorship.  To be considered for this role, you must be legally authorized to work in the United States and not require sponsorship for employment now or in the future.

This role will be responsible for aggregating and visualizing data across Comcast and Sky for the Global Product Organization through the Business Operations and Chief of Staff function that requires capturing managing, storing utilize structured and unstructured data from internal and external sources. Establishes and builds processes and structures based on business and technical requirements to channel data from multiple inputs, route appropriately and store using any combination of distributed (cloud) structures, local databases, and other applicable storage forms as required. Develops technical tools and programming that leverage artificial intelligence, machine learning and big-data techniques to cleanse, organize and transform data and to maintain, defend and update data structures and integrity on an automated basis. Creates and establishes design standards and assurance processes for software, systems and applications development to ensure compatibility and operability of data connections, flows and storage requirements. Reviews internal and external business and product requirements for data operations and activity and suggests changes and upgrades to systems and storage to accommodate ongoing needs. Work with data modelers/analysts to understand the business problems they are trying to solve then create or augment data assets to feed their analysis. Works with moderate guidance in own area of knowledge. This will be integral achieving our goals focusing around driving financial operations, analyzing resource and investment allocations, and sharing data analytics & reporting to inform investment decisions.

Requirements: 

• Educational background: Computer Science, Information Technology or Software Engineering 

• Knowledge of Big Data Platforms and Technologies 

• Programming Skills: Intermediate Programming Language and Scripting skills (Python – Pandas, PySpark and Java) and the ability to review and modify code 

• Query Languages: Intermediate knowledge with SQL, NoSQL and GraphQL 

• Cloud Technologies: Aggregate, transform, and clean large datasets for storage in cloud environments through AWS, Azure, Google Cloud. Intermediate knowledge of database services (EC2, S3, Redshift, Lambda, Synapse, etc.) and storage solutions 

• Big Data: Apache Airflow, Databricks, ETL 

• Database: Experience with relational (postgres/Oracle), non relational databases (MongoDB, DynamoDB) 

• Monitoring and Logging: Intermediate proficiency (e.g. SNMP, Prometheus, ELK, Grafana, VictoriaMetrics) 

• Design, develop, and maintain ETL pipelines to ingest and process data from diverse internal and external data sources 

• Aggregate, transform, and clean large datasets for storage in cloud environments (e.g., AWS, Azure, or GCP) 

• Ensure data integrity and quality across data pipelines and storage systems. Optimize data pipelines for performance, scalability, and reliability. 

• Establishing API connections to connect various tools and data 

• Identifying and standing up a new visualization tool to use for dashboards and visualizations (i.e. Tableau) 

• Automating, simplifying, and enhancing processes using programming languages, Excel Power Query, macros, etc. 

Preferred Qualifications 

• Experience with containerization (Docker) or orchestration tools (Kubernetes) is a plus. 

• Familiarity with CI/CD for data pipelines. 

• Exposure to machine learning pipelines or integration with analytics platforms is a bonus. 

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.

Skills

Databricks Platform, ETL Tools, Java, NoSQL, Python (Programming Language), Structured Query Language (SQL), Tableau Desktop

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 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.

Certifications (if applicable)

Relevant Work Experience

2-5 Years

Comcast is proud to be 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.