Senior AI Data Engineer - Telecom EDW Support
Company: Fidium Fiber
Location: Location not specified (Remote)
Type: Full-time
Remote: Yes
Posted: 2026-04-28
About this role
Major Duties
Classification: Exempt / Non-Bargaining
Position may be located remote.
Fidium is where next-generation fiber meets next-level opportunity. With a vision to be America’s favorite fiber internet and network services provider, we deliver lightning-fast and reliable connections to families, businesses, and communities.
Backed by one of the nation’s top 10 fiber networks, Fidium is driven by a team of 2,500 employees. We champion innovation, integrity, and continuous improvement—empowering every team member to make a meaningful impact.
We are seeking a skilled Senior AI Data Engineer to support and evolve our Telecom Enterprise Data Warehouse (EDW) environment while helping build next-generation, AI-enabled data products.
This role combines modern data engineering with AI/ML enablement and application development, supporting both the reliability of our core data platform and the development of a self-service analytics portal for business users.
The ideal candidate will have strong experience in data ingestion, transformation, data quality, and modeling within a modern cloud stack (FiveTran, Snowflake, Matillion, Tableau, Secoda), along with hands-on development experience in technologies such as Python, Spark, and modern web frameworks (e.g., React).
Responsibilities
Data Ingestion & Integration
- Design, implement, and manage automated data ingestion pipelines using FiveTran and other ETL/ELT tools.
- Integrate data from various telecom systems (OSS/BSS, CRM, billing, network systems, etc.) into Snowflake.
- Ensure scalability and reliability of data ingestion processes to meet business SLAs.
Data Transformation & Modeling
- Develop and optimize ELT pipelines in Matillion, ensuring efficient data transformations in Snowflake
- Build and maintain data models (staging, core, mart layers) to support reporting, analytics, and AI/ML use cases
- Design data structures and feature-ready datasets to ...