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Ezee Fiber

Fiber internet service with symmetric speeds

Senior Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeHouston, TX, USANo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree in Computer Science, Information Systems, Engineering, Data Engineering, or a related technical field, or an equivalent combination of education and relevant professional experience.
  • At least six years of progressively responsible experience in data engineering, data pipeline development, software/data platform engineering, or a closely related role, including independently designing and supporting production-grade data solutions.
  • Advanced proficiency in Python, SQL, REST APIs, and at least one modern ETL/ELT or orchestration framework such as Airflow or dbt.
  • Strong experience with cloud-based and/or on-premise data platforms such as AWS, Azure, Google Cloud, MS SQL, or PostgreSQL.
  • Demonstrated experience with data warehousing, dimensional modeling, data lakes/lakehouses, and scalable data architecture.
  • Experience optimizing data pipelines, queries, storage, and data models for performance, reliability, and scale.
  • Experience implementing data quality, testing, monitoring, observability, and governance practices in production environments.
  • Strong analytical, troubleshooting, documentation, and problem-solving skills.
  • Ability to communicate complex technical concepts effectively with technical and non-technical stakeholders.
  • Ability to analyze and interpret data, communicate, and remain stationary for a significant amount of the workday; frequently access, input, and retrieve information using computers and office productivity devices; regularly move around the office and corporate campus; frequently move up to 10 pounds and occasionally move up to 25 pounds.
  • Must be legally authorized to work in the United States and must not require current or future employment visa sponsorship.

Responsibilities

  • Design, develop, and optimize scalable ETL/ELT pipelines integrating data from CRM, OSS/BSS, GIS, network monitoring tools, REST APIs, and other enterprise platforms.
  • Write efficient, reusable, production-quality Python and SQL code to process, transform, validate, and serve large and complex datasets.
  • Lead the design and implementation of automated data-quality controls, anomaly detection, monitoring, alerting, and remediation processes.
  • Design and optimize data models, data lakes, data warehouses, and related architecture for business intelligence, analytics, and operational use cases.
  • Own and enhance data infrastructure across cloud and on-premise environments, including AWS, Azure, Google Cloud, MS SQL, and PostgreSQL.
  • Evaluate pipeline and platform performance, identify scalability or reliability risks, and implement technical improvements that increase resiliency and efficiency.
  • Establish and promote engineering standards for data pipelines, schemas, documentation, testing, deployment, observability, and version control.
  • Partner with Engineering, Field Operations, Customer Experience, Finance, Marketing, and other stakeholders to translate complex business requirements into scalable data solutions.
  • Provide technical leadership on data initiatives, including solution design, architecture decisions, code reviews, troubleshooting, and guidance to less-experienced engineers or technical partners.
  • Define and maintain trusted datasets and data products that support dashboards, performance metrics, forecasting, and executive decision-making.
  • Ensure data solutions comply with company standards for security, privacy, compliance, access controls, and data governance.
  • Support data lineage, metadata, documentation, and data-integrity practices across systems and applications.
  • Lead or support integration of real-time or near-real-time data using Kafka, Spark, APIs, or comparable tools.
  • Identify opportunities to automate manual data processes, reduce technical debt, and improve the quality, speed, and reliability of data delivery.
  • Independently diagnose and resolve complex production data issues and communicate risks, impacts, and recommended solutions to technical and business stakeholders.

Desired Qualifications

  • Experience in telecommunications, utilities, fiber network analytics, or another infrastructure-intensive industry.
  • Familiarity with GIS systems such as ESRI or QGIS and spatial data integration.
  • Experience with OSS/BSS platforms or telecom monitoring tools such as Calix, Ciena, or Netcracker.
  • Experience with real-time data streaming and distributed processing technologies such as Kafka or Spark.
  • Experience with modern cloud data platforms, CI/CD, infrastructure automation, or data platform observability.
  • Experience mentoring engineers, reviewing technical designs or code, or serving as a technical lead on complex data initiatives.

About the Company

Ezee Fiber

Fiber internet service with symmetric speeds

Ezee Fiber provides fiber internet service with symmetric speeds up to 8 Gbps and a simple pricing model. It emphasizes local support and no contracts, offering lifetime pricing and straightforward plans. How it works: The service uses fiber connections to deliver upload and download speeds that are the same (symmetric). Customers install the fiber connection at home or business, and can choose from plans with clearly stated, fixed pricing for the lifetime of the service. There are no hidden fees or contract requirements. How it differs from competitors: Unlike providers that rely on contracts or frequent price changes, Ezee Fiber focuses on no-strings-attached service, long-term price stability, and local support, delivering high speeds without gimmicks or fine print. Goal: To provide the fastest, most reliable fiber internet in a simple, transparent way with predictable pricing and supportive local service.

Company size
501-1,000
Company stage
Debt Financing
Total funding
$880M
Headquarters
Houston, TX
Founded
2021

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