Data Engineer 3

Comcast Corporation is hiring a Data Engineer 3 to design and run advanced data structures and pipelines that support data quality, accessibility, and privacy and regulatory compliance.

Responsibilities

• Design and build data architectures and pipelines to standardize, transform, and protect data integrity for business insights
• Maintain data quality across ingestion, processing, and loading, with consistent high standards
• Develop ingestion frameworks for multiple data types, including data quality monitoring and reporting
• Create accessible data consumption paths such as APIs, database views, and data extracts for user applications
• Implement data solutions across platforms including Kubernetes, Teradata, and cloud services such as AWS and Databricks
• Select data storage platforms based on data sensitivity, privacy requirements, and access needs
• Use data lineage and apply transformation rules to support change management and issue resolution
• Partner with cross-functional teams to refine data sourcing and processing for improved quality and efficiency
• Exercise independent judgment and discretion in matters of significance
• Maintain regular, consistent, and punctual attendance; able to work nights and weekends and adjust to variable schedules as necessary
• Perform other duties and responsibilities as assigned

Requirements

• SQL proficiency
• Programming language proficiency (Python preferred)
• Distributed computing framework proficiency (e.g., Apache Spark)
• Cloud Data Warehouse management experience
• Knowledge of at least one cloud provider: AWS, GCP, or Azure
• Familiarity with data pipeline design patterns
• Knowledge of data observability

Technologies

• SQL
• Python
• Apache Spark
• AWS, GCP, Azure
• Kubernetes
• Teradata
• Databricks
• dbt
• Airflow
• Snowflake
• Looker
• data lineage
• data observability
• APIs
• database views
• data extracts
• Data Lakehouse Architecture

Preferred / Desired Exposure

• Exposure to embedded Business Intelligence such as Looker (desired but not required)
• Exposure to modern data stack components such as dbt, Airflow, Snowflake, and Apache Spark (highly desired)
• Exposure to data consumption challenges and solutions (highly desired)

Education and Experience

• Bachelor’s Degree
• 5-7 years relevant work experience
• Minimum experience: 5 years

Expected Company Principles

• Understand and apply Operating Principles to daily work
• Own the customer experience and support seamless digital options
• Know your stuff by learning, using, and advocating for products and digital tools
• Win as a team by working together and staying open to new ideas
• Be active in the Net Promoter System through huddles, call backs, and improving customer outcomes
• Drive results and growth
• Support a culture of inclusion
• Do what is right for each other, customers, investors, and communities

Benefits

• Best-in-class benefits to eligible employees
• Array of options with expert guidance and always-on tools personalized to individual needs

Location: Chicago, IL (onsite)

Salary Range: USD 103,643 - 170,271 per year

Disclaimer: Job duties and qualifications described are intended to indicate the general nature and level of work performed and are not a comprehensive inventory of all duties, responsibilities, and qualifications.