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 ...

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