Senior Data Engineer, Telecom EDW

Overview

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 Data Engineer to support our Telecom Enterprise Data Warehouse (EDW) environment. The ideal candidate will have strong hands-on experience in data ingestion, transformation, data quality assurance, operations engineering, data modeling, and data delivery, working within a modern cloud data stack leveraging Five Tran, Snowflake, Matillion, Tableau, and Secoda. This role plays a key part in ensuring the availability, reliability, and quality of data that powers enterprise analytics, reporting, and strategic decision-making across the telecom organization.

• Data Ingestion & Integration
  • Design, implement, and manage automated data ingestion pipelines using Five Tran 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 and analytics needs.
  • Follow and enforce data modeling best practices, ensuring consistent naming, lineage, and documentation across datasets.
• 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.
• 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 business stakeholders to enable data consumption in Tableau and other downstream systems.
  • Develop and optimize data extracts, dashboards, and APIs for business use cases.
  • Ensure alignment between data warehouse design and analytical/reporting requirements.
• Collaboration & Continuous Improvement
  • Work closely with data architects, business analysts, and domain experts to translate business needs into data engineering solutions.
  • Contribute to standards, best practices, and automation within the data engineering team.
• Support continuous improvement of ETL/ELT frameworks, CI/CD pipelines, and Dev Ops processes.

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field.
• 8+ years of experience in data engineering or data warehousing, preferably in the telecom domain.
• Strong proficiency with:
  • Five Tran (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
• Solid understanding of data modeling (star/snowflake schemas, dimensional modeling).
• Experience with data quality frameworks, metadata management, and Dev Ops for data pipelines.
• Strong SQL skills and familiarity with Python or bash scripting for automation.
• Experience with cloud environments (AWS, Azure, or GCP).

Preferred Qualifications:

• Telecom industry experience, particularly with OSS/BSS and network data sources.
• Experience in CI/CD for data pipelines (Git, Jenkins, or similar).
• Familiarity with dbt or similar data transformation frameworks.
• Exposure to data observability tools and incident management practices.
• Exposure to Data
  360 Analyze

Soft Skills:

• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.
• Detail-oriented, organized, and proactive in issue resolution.
• Ability to work independently and in a fast-paced, dynamic environment.

• 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,…