Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast.

Job Summary

Responsible for designing, building and overseeing the deployment and operation of technology architecture, solutions and software to capture, manage, store and 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. Has in-depth experience, knowledge and skills in own discipline. Usually determines own work priorities. Acts as resource for colleagues with less experience.

Job Description

Responsibilities:

The Senior Data Engineer will work within a geographically disperse operations team that seeks continuous improvement for NBCUniversal analytics and business intelligence technologies.  As the flood of digital information increases, the Senior Data Engineer in this role will be responsible for connecting multiple open and closed sourced systems and transitioning raw data to predictive information for partners across broadcast (cable, news, and sports networks), film studios, and world-renowned theme parks.  In the Senior Data Engineer role, you will be working with internal stakeholders, data engineers, visualization experts, data scientists, and other technologists across the business. If you are someone who strives for continuous operational improvement through automation and value creation, you have come to the right place. Here you can create the extraordinary. Join us!

• Maintain a 24/7 operational resiliency across data pipelines.
• Seek continuous improvement of operations by automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability.
• Deliver services that meet internal KPIs and customer SLAs.
• Collaborate with engineers to remediate cyber alerts in custom code and infrastructure.
• Ensure operational policies and standards are followed across the organization.
• Interface with other technology teams to leverage cloud-native data engineering principles to maintain high quality data faster.
• Foster a DevOps culture and participate in development sprints, retrospectives, releases, and deployments.
• Build and manage relationships to optimize value creation from ideation to delivery and maintenance. 

Qualifications:

• 5-8 years of experience in a data engineering role
• Experience with Python, SQL, Bash Scripting, and Informatica
• Experience with AWS, Airflow, Snowflake, Docker, and GitHub
• Experience with Snyk, Prisma, Wiz, and Qualys
• Understanding of SDLC and Agile Methodologies
• Understanding of Test-Driven Development and CI/CD
• Knowledge of data management fundamentals and data storage principles 
• General understanding of cloud data engineering design patterns and use cases
• Bachelor's degree in Computer Science, Data Science, Statistics, Informatics, Information Systems or related field.

Desired Characteristics: 

• Lifelong Learner – technology is constantly evolving, and you love continuously learning new ways to upskill yourself.
• Positive Ownership Attitude – You foster a positive ownership mindset by taking pride in all that you do; holding yourself and partners accountable to productive outcomes.
• Action-oriented – You are discovering new solutions and regularly showing actionable results.
• Communicator – You have excellent verbal and written skills with the ability to communicate ideas effectively across all levels of the organization, to both technical and non-technical audiences
• Partnership – You display ethical behavior, integrity, respect and build trust among colleagues.

Skills

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)

Relative Work Experience

5-7 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.