Engineer 2, Data Engineering

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. Works with moderate guidance in own area of knowledge.

Job Description

Key Responsibilities
 Data Pipeline Development
o Build, enhance, and maintain data pipelines that ingest data from AMS and
other internal sources into Xumo’s Enterprise Data Warehouse.
o Process structured and semi-structured data such as ad-serving logs, campaign
data, and user behavior data.
o Monitor data workflows for failures and performance issues, escalating more
complex problems as needed.
 Data Modeling & Warehousing
o Implement and update data models and schemas that support reporting and
analytics.
o Contribute to the development of data marts and warehouse structures
following established design patterns.
o Work with cloud-based data platforms (e.g., Google BigQuery, Snowflake) under
guidance from senior engineers.
o Apply fundamental Enterprise Data Warehouse concepts in daily work.
 Analytical Support
o Support the creation of dashboards, reports, and datasets used to monitor ad
performance and operational metrics.
o Conduct basic exploratory data analysis to identify trends, anomalies, or data
issues.
o Assist in building reporting systems that provide KPIs for ad campaigns and
system health.
 Performance, Quality & Optimization
o Implement ETL/ELT transformations to prepare raw data for analytical use in
enterprise data marts.
o Perform data validation and quality checks to ensure consistency and
reliability.
o Troubleshoot data pipeline issues and participate in root-cause analysis with
senior engineers.
 Collaboration & Communication
o Collaborate with software engineering, analytics, QA, and product teams to
gather data requirements.
o Clearly document data pipelines, schemas, and transformations.

o Communicate findings or data issues to technical teammates and occasionally to
non-technical stakeholders.
Required Qualifications
o Strong programming skills in Python and SQL.
o Hands-on experience building and maintaining ETL/ELT pipelines.
o Familiarity with big data technologies (e.g., Spark, Hadoop).
o Experience working with both relational and NoSQL databases.
o Exposure to cloud-based platforms (e.g., AWS, Google Cloud, GCP data services).
o Understanding of data warehousing concepts (fact/dimension modeling, schema
design, etc.).
o Experience with data visualization or BI tools (Tableau, Power BI, Looker, etc.).
o Strong analytic and problem-solving capabilities.
o Awareness of data governance and data quality principles.
Nice to Have
o Experience with or interest in data modeling frameworks and best practices.
o Exposure to real-time/streaming data technologies (e.g., Kafka, Pub/Sub).
o Familiarity with ad-tech standards or protocols (VAST, VPAID).
o Experience using Git or similar version control systems.
o Experience with data profiling or data quality tools

Core Responsibilities
Develops data structures and pipelines aligned to established standards and guidelines to organize, collect, standardize and transform data that helps generate insights and address reporting needs.
Focuses on ensuring data quality during ingest, processing as well as final load to the target tables.
Creates standard ingestion frameworks for structured and unstructured data as well as checking and reporting on the quality of the data being processed.
Creates standard methods for end users / downstream applications to consume data including but not limited to database views, extracts and Application Programming Interfaces.
Develops and maintains information systems (e.g., data warehouses, data lakes) including data access Application Programming Interfaces.
Participates in the implementation of solutions via data architecture, data engineering, or data manipulation on both on-prem platforms like Kubernetes and Teradata as well as Cloud platforms like Databricks. 
Determines the appropriate storage platform across different on-prem (minIO and Teradata) and Cloud (AWS S3, Redshift) depending on the privacy, access and sensitivity requirements.
Understands the data lineage from source to the final semantic layer along with the transformation rules applied to enable faster troubleshooting and impact analysis during changes. 
Collaborates with technology and platform management partners to optimize data sourcing and processing rules to ensure appropriate data quality as well as process optimization.
Handles data migrations/conversions as data platforms evolve and new standards are defined.
Preemptively recognizes and resolves technical issues utilizing knowledge of policies and processes. 
Understands the data sensitivity, customer data privacy rules and regulations and applies them consistently in all Information Lifecycle Management activities.
Identifies and reacts to system notification and log to ensure quality standards for databases and applications. Solves abstract problems beyond single development language or situation by reusing data file and flags already set. 
Solves critical issues and shares knowledge such as trends, aggregate, quantity volume regarding specific data sources. 
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.
 

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 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.