Data Engineer ? Telecom EDW Support

Reference #: 8554Major DutiesClassification: Exempt / Non-BargainingPosition may be located remote. #LI-RemoteFidium 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 FiveTran, 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.Major DutiesClassification: Exempt / Non-BargainingSalary Grade: 80Position may be located remote.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 FiveTran, 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.ResponsibilitiesData Ingestion & IntegrationDesign, implement, and manage automated data ingestion pipelines using FiveTran and other ETL/ELT tegrate 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 & ModelingDevelop 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 & GovernanceImplement 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 EngineeringSupport 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 DeliveryPartner 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 ImprovementWork 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 DevOps processes.QualificationsBachelor's degree in Computer Science, Information Systems, Data Engineering, or re ated field.4+ years of experience in data engineering or data warehousing, preferably in the telecom domain.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 solutionSolid 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).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 Data360 AnalyzeSoft 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.Benefits OfferedWe are proud to offer a comprehensive and competitive benefits package:401(k) matchingMedical, Rx, Dental and Vision insuranceDisability insuranceFlexible spending accountHealth savings accountLife insuranceTuition reimbursementPaid vacation and personal daysPaid holidaysEmployee Assistance ProgramAnnual bonus program to eligible employee's based upon organization performanceSalaryPay range (commensurate with skills and experience):$70,000 - $98,000 Annual SalaryEqual Opportunity EmployerAll 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.Consolidated Communications Enterprise Services, Inc. is an AA/EEO/Veterans/Disabled Employer.

Created: 2026-01-26