Senior Data Engineer: Build Scalable Data for Fiber Networks

Ezee Fiber; Houston (TX); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive compensation

Medical, dental, and vision benefits

401(k) with company match

Paid time off

Tuition reimbursement

Job summary

Ezee Fiber is seeking a Senior Data Engineer to design, build, optimize scalable data infrastructure supporting network performance analysis, customer insights, and enterprise analytics. You will own data pipelines across CRM/OSS, data lakes, warehouses, and cloud/on‑prem architectures, mentor teammates, and partner with stakeholders to deliver trusted, actionable data across the business.

Strong Python/SQL, ETL/ELT, data governance, and cloud platform experience are essential to thrive in a

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Engineering, Data Engineering, or related field.
• 6+ years designing and supporting production-grade data solutions.
• Strong Python and SQL, REST APIs, and ETL/ELT experience.
• Experience with cloud/on-prem data platforms and data warehousing.

Responsibilities

• Design, develop, and optimize scalable ETL/ELT pipelines.
• Lead data-quality controls, anomaly detection, monitoring, and remediation.
• Design data models, data lakes/warehouses, and related architectures.
• Own data infrastructure across cloud and on‑prem environments (AWS/Azure/Google).
• Promote engineering standards, governance, testing, and observability.

Skills

Data architecture

Python & SQL

ETL/ELT orchestration

Data modeling

Cloud data platforms

Data quality & governance

Technical leadership

Cross-functional collaboration

Independent judgment

Education

Bachelor's degree in CS/IS/Engineering

6+ years data engineering experience

Tools

Airflow

dbt

AWS

Azure

Google Cloud

PostgreSQL

MS SQL

Job description

Ezee Fiber is seeking a Senior Data Engineer to design, build, optimize scalable data infrastructure supporting network performance analysis, customer insights, and enterprise analytics. You will own data pipelines across CRM/OSS, data lakes, warehouses, and cloud/on‑prem architectures, mentor teammates, and partner with stakeholders to deliver trusted, actionable data across the business.

Strong Python/SQL, ETL/ELT, data governance, and cloud platform experience are essential to thrive in a