Senior AI Data Engineer - Telecom EDW Support

Classification: Exempt / Non-Bargaining

Position may be located remote. #LI-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).

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 support machine learning and advanced analytics initiatives
• Partner with data scientists and product teams to enable scalable model training, inference, and deployment workflows

Data Quality & Governance

• Implement and monitor data validation, profiling, and quality checks to ensure data accuracy, completeness, and timeliness.
• Collaborate with data governance teams to maintain metadata, lineage, and documentation within Secoda.
• Troubleshoot and resolve data discrepancies and pipeline failures proactively.

AI-Driven Data Product Development

• Contribute to the design and development of a self-service analytics platform / web portal for internal stakeholders
• Build APIs and backend services to expose curated data and AI-driven insights to applications
• Collaborate on front-end integrations (e.g., React-based interfaces) to deliver intuitive, data-driven user experiences
• Support development of AI-powered features such as forecasting, anomaly detection, or intelligent data exploration

Operations Engineering

• Support daily operations of the EDW, including job scheduling, monitoring, and performance tuning.
• Implement alerting, logging, and observability practices to ensure high system uptime.
• Participate in on-call rotations or provide after-hours support as needed.

Analytics & Data Delivery

• Partner with analysts, BI developers, and product stakeholders to enable both dashboard-based and application-based data consumption
• Support delivery of data through APIs and services for downstream applications in addition to Tableau reporting

Collaboration & Continuous Improvement

• Work closely with data architects, data scientists, product managers, and application developers to translate business needs into scalable data and AI solutions

Contribute to best practices across data engineering, AI/ML pipelines, and application integration

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field.
• 8+ years of experience in data engineering or data warehousing
• Telecom industry experience required
• Solid understanding of data modeling (star/snowflake schemas, dimensional modeling).
• Experience with data quality frameworks, metadata management, and DevOps for data pipelines.
• Strong SQL skills and familiarity with Python or bash scripting for automation.
• Experience with cloud environments (AWS, Azure, or GCP).
• Strong proficiency with:
  • FiveTran (data ingestion and connector management)
  • Snowflake (SQL, warehouse configuration, performance optimization)
  • Matillion (ELT orchestration and transformation development)
  • Tableau (understanding of data delivery and visualization integration)
  • Secoda (data cataloging and lineage documentation) or similar solution

Preferred Qualifications:

• Telecom industry experience, particularly with OSS/BSS and network data sources.
• Experience building data-driven applications or internal platforms
• Exposure to LLMs, AI-assisted analytics, or ML model deployment pipelines
• Familiarity with real-time or event-driven architectures
• Experience integrating data platforms with user-facing applications
• Exposure to data observability tools and incident management practices.
• Exposure to Data360 Analyze

Soft Skills:

• Strong analytical and problem-solving skills
• Excellent communication and collaboration abilities
• Ability to bridge data engineering, AI, and application development concepts
• Detail-oriented and proactive in issue resolution
• Comfortable working in fast-paced, evolving environments

We are proud to offer a comprehensive and competitive benefits package:

• 401(k) matching
• Medical, Rx, Dental and Vision insurance
• Disability insurance
• Flexible spending account
• Health savings account
• Life insurance
• Tuition reimbursement
• Paid vacation and personal days
• Paid holidays
• Employee Assistance Program
• Annual bonus program to eligible employee's based upon organization performance

Pay range (commensurate with skills and experience): $115,000 - $130,000 Annual Salary

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, marital status, familial status, genetics, disability, age, veteran status or any other characteristic protected by law.