Jobs
Required Skills
Apache Spark
Data Modeling
Data Pipeline Development
Data Quality
Performance Tuning
Problem-solving
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 Must-Have Skills & Experience (Core Capabilities):
- Strong understanding of distributed data processing systems and Spark architecture
- Hands-on experience building and owning end-to-end data pipelines (design, development, deployment, monitoring, and optimization)
- Solid data modeling skills for analytical and reporting use cases
- Proven ability to debug, troubleshoot, and resolve production data pipeline issues
- Experience with performance tuning and optimization of large-scale data workloads
- Strong focus on data quality, validation, and reliability
- Experience working with modern data lake / lakehouse architectures (e.g., Delta Lake or similar)
- Ability to make informed decisions around cluster sizing, resource utilization, and cost–performance trade-offs
- Strong problem-solving skills and an ownership mindset for production systems Nice-to-Have Skills (Accelerators)
- Experience with advanced Python data libraries such as Pandas, Num Py, Polars, or DuckDB
- Exposure to AI/ML workflows, feature engineering, or data preparation for models
- Experience working in cloud environments (AWS, Azure, or GCP)
- Familiarity with CI/CD practices for data pipelines
- Exposure to DevOps or platform engineering concepts
- Experience with serverless or event-driven components (e.g., AWS Lambda
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:
5-7 Years
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.
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About Comcast

Comcast
PublicComcast Corporation, formerly known as Comcast Holdings, is an American multinational mass media, telecommunications, and entertainment conglomerate.
10,001+
Employees
Philadelphia
Headquarters
Reviews
3.7
10 reviews
Work Life Balance
3.2
Compensation
3.8
Culture
3.6
Career
4.1
Management
3.0
65%
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Pros
Room for growth and advancement opportunities
Supportive leadership and culture
Good benefits and compensation
Cons
Demanding metrics and quota pressure
Management issues and lack of support
Overtime requirements
Salary Ranges
21 data points
L2
L3
L4
L5
L6
Mid/L4
Director
L2 · Data Analyst L2
0 reports
$71,604
total / year
Base
$28,642
Stock
$35,802
Bonus
$7,160
$50,123
$93,085
Interview Experience
6 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 83%
Negative 17%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Final Round Interview
5
Offer
Common Questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
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