Data Engineer

Overview

At Ezee Fiber, our value lies in delivering data-driven outcomes. The Data Engineer role is to design, build, and optimize data infrastructure and business logic to support network performance analysis, customer insights, and operational reporting. You’ll work with cross-functional teams to ensure that data is accessible, clean, and actionable. This role is ideal for someone who thrives on solving complex problems with scalable solutions in a fast-paced, fiber-focused environment.

• Data Pipeline Development & Integration
  • Design and maintain scalable ETL pipelines to integrate data from CRM, OSS/BSS, GIS, network monitoring tools, and REST APIs.
  • Write efficient, reusable Python and SQL code to process and transform large datasets.
  • Develop automated tools for data validation, anomaly detection, and data quality monitoring.
• Data Architecture & Infrastructure
  • Build and optimize data models, data lakes, and data warehouses to support BI and analytics requirements.
  • Maintain and enhance data infrastructure across on-premise and cloud environments (e.g., Google Cloud, Azure, Postgre
    
    SQL).
  • Ensure data pipelines, schemas, and systems are well documented and scalable.
• Cross-Functional Collaboration
  • Work closely with engineering, field operations, customer service, and other internal teams to understand data needs and align solutions with business priorities.
  • Partner with stakeholders to define metrics, build datasets, and support dashboard development and performance tracking.
• Security, Compliance & Governance
  • Ensure all data processes follow Ezee Fiber’s standards for security, compliance, and data governance.
  • Support and maintain data integrity across systems and applications.

Education and Experience Requirements: Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field. A minimum of 4+ years of experience in a data engineering or data pipeline development role.

• Proficient in Python, SQL, REST APIs, and at least one ETL framework (e.g., Airflow, dbt).
• Experience with cloud-based or on-premise data platforms (e.g., AWS, Azure, MS SQL, Postgre
  
  SQL).
• Knowledge of data warehousing concepts and architecture (e.g., star/snowflake schemas).
• Strong communication and collaboration skills with both technical and non-technical teams.

• Experience in telecommunications, utilities, or fiber network analytics.
• Familiarity with GIS systems (e.g., ESRI, QGIS) and spatial data integration.
• Exposure to OSS/BSS platforms or telecom monitoring tools (e.g., Calix, Ciena, Netcracker).
• Experience with real-time data streaming tools (e.g., Kafka, Spark).

Valid Driver’s License

The physical requirements described here are representative of those that must be met by an associate to successfully perform the essential functions of the job. While performing the duties of the job, the associate is required on a daily basis to analyze and interpret data, communicate, and remain in a stationary position for a significant amount of the workday and frequently access, input, and retrieve information from the computer and other office productivity devices.

The associate is regularly required to move about the office and around the corporate campus. The associate must frequently move up to 10 pounds and occasionally move up to 25 pounds.

This role requires only minimal travel, primarily on an as-needed basis.

• Competitive compensation package
• Health, Dental and Vision insurance
• 401k match
• Paid time off and other generous benefit programs
• Tuition reimbursement

At Ezee Fiber, we are committed to fostering a diverse and inclusive environment where innovation thrives. As the Data Engineer
, you will play a critical role in building a new function that directly impacts our company’s growth and success. Join us and shape the future of the telecommunications industry with a team dedicated to excellence and innovation.

• We are seeking candidates that are legally authorized to work in the United States, without Sponsorship.