About the position
Make your mark at Comcast -- a Fortune 30 global media and technology company. From the connectivity and platforms we provide, to the content and experiences we create, we reach hundreds of millions of customers, viewers, and guests worldwide. Become part of our award-winning technology team that turns big ideas into cutting-edge products, platforms, and solutions that our customers love. We create space to innovate, and we recognize, reward, and invest in your ideas, while ensuring you can proudly bring your authentic self to the workplace. Join us. You'll do the best work of your career right here at Comcast. (In most cases, Comcast prefers to have employees on-site collaborating unless the team has been designated as virtual due to the nature of their work. If a position is listed with both office locations and virtual offerings, Comcast may be willing to consider candidates who live greater than 100 miles from the office for the remote option.) Job Summary This is a new Engineer 3 position that will be responsible for developing, implementing, and maintaining data pipelines and ETL processes critical to support Comcast's national locates program. Ensure accurate and timely ingestion of locates-related data from multiple sources. Works closely with operations & analytics teams to structure data effectively for actionable reporting and analysis. The ideal candidate must have a passion for data and a willingness to adapt to various system/operational challenges to work with disparate data sources both internally & externally.
Responsibilities
- Develop, implement and maintain robust ETL processes for ingestion, transformation and loading of locates data.
- Design scalable solutions for large data volumes, optimizing for performance & cost.
- Engage external teams in the creation of data pipelines from various sources, including 811 one call centers, locates vendors and ticket management systems.
- Collaborate closely with analysts and operational stakeholders to ensure data accuracy, quality and consistency.
- Monitor, troubleshoot and optimize data pipelines to maintain efficient and reliable data flow.
- Document data structures and processes clearly to facilitate cross-team understanding and usage.
- Identify and implement improvements to enhance data quality and processing efficiency.
- Ensure compliance with data governance standards, cybersecurity and best practices.
- Provide clear communication of complex technical concepts to non-technical stakeholders.
Requirements
- Bachelor's degree in Engineering, Computer Science, Data Science, or related technical field.
- 5+ years of experience in data engineering, including developing and maintaining data pipelines and ETL processes.
- Proficiency in SQL, Python, and cloud-based data platforms (AWS, Azure, GCP).
- Experience with DevOps practices, version control (Git), and collaborative tools (Jira, Confluence).
- Familiarity with Bash, Linux preferred and GIS data, ticket management systems, and locates/811 operations a plus.
Benefits
- Best-in-class Benefits to eligible employees.
- An array of options, expert guidance and always-on tools, personalized to meet the needs of your reality.
