Engineer, Data & Analytics

Core Responsibilities

• Create and maintain data structures and pipelines aligned with established standards and guidelines.
• Ensure data quality during ingestion, processing, and final load to target tables.
• Create standard ingestion frameworks for structured and unstructured data, and check/report on the quality of data being processed.
• Create standard methods for end users/downstream applications to consume data, including database views, extracts, and Application Programming Interfaces (APIs).
• Develop and maintain information systems such as data warehouses and data lakes, including data access APIs.
• Implement solutions via data architecture, data engineering, or data manipulation on both on-prem platforms like Kubernetes and Teradata, and cloud platforms like Databricks.
• Determine appropriate storage platforms across different on-prem (minIO and Teradata) and cloud (AWS S3, Redshift) environments based on privacy, access, and sensitivity requirements.
• Understand data lineage from source to the final semantic layer, along with the transformation rules applied to enable faster troubleshooting and impact analysis during changes.
• Collaborate with technology and platform management partners to optimize data sourcing and processing rules for appropriate data quality and process optimization.
• Handle data migrations/conversions as data platforms evolve and new standards are defined.
• Preemptively recognize and resolve technical issues using knowledge of policies and processes.
• Understand data sensitivity, customer data privacy rules, and regulations and apply them consistently in all Information Lifecycle Management activities.
• Identify and react to system notifications and logs to ensure quality standards for databases and applications.
• Solve abstract problems beyond single development language or situation by reusing data files and flags already set.
• Solve critical issues and share knowledge such as trends, aggregate, quantity volume regarding specific data sources.

Other Duties And Responsibilities As Assigned

• Employees at all levels are expected to understand the company's Operating Principles and make them the guidelines for how they do their job.
• Own the customer experience by thinking and acting in ways that put customers first, providing seamless digital options at every touchpoint, and promoting the company's products and services.
• Be an enthusiastic learner, user, and advocate of the company's game-changing technology, products, and services, especially its digital tools and experiences.
• Work as part of a team to bring big things to fruition by optimizing data sourcing and processing rules for appropriate data quality and process efficiency.
• Support a culture of inclusion in how they work and lead.
• Do what's right for each other, customers, investors, and communities.

Skills

• Data Engineering
• Data Analytics
• Data Operations

Education and Experience

• Bachelor's Degree preferred, but relevant work experience of 2-5 years may be considered.

Benefits

• Base pay is one part of the Total Rewards package, which includes commissions for sales positions and bonuses for non-sales positions.
• The company offers a range of benefits, including health insurance, retirement plans, and paid time off.
• Comcast provides best-in-class benefits to eligible employees, including support for physical, financial, and emotional well-being.