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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Ezee Fiber - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Geographic Information Systems, Application Programming Interfaces (APIs), Amazon Web Services, Microsoft Azure, Big Data, Code Review, Data Governance, Data Infrastructure, Data Integration, Data Integrity, Extract Transform Load (ETL), Data Systems, Data Warehousing, Python (Programming Language), PostgreSQL, Metadata, Microsoft SQL Server, Network Monitoring, Operational Databases, Standard Sql, Google Cloud, Apache Spark, Technical Debt, Data Lakes, Data Lineage, Real Time Data, Apache Kafka, OSS/BSS, Data Delivery, Restful APIs, Software Version Control, Data Pipelines, Network Optimization - **Published:** September 27, 2026 - **Apply:** https://www.thejobnetwork.com/job/b2be5318-d8b0-427e-b717-310a9929ef58/senior-data-engineer ## About the Role * Design, develop, and optimize scalable ETL/ELT pipelines integrating data from CRM, OSS/BSS, GIS, network monitoring tools, REST APIs, and other enterprise platforms. ## Description The Senior Data Engineer designs, builds, optimizes, and supports scalable data infrastructure and business logic that enable network performance analysis, customer insights, operational reporting, and enterprise analytics. Building on Ezee Fiber's Data Engineer scope, this senior-level role owns complex data engineering solutions, establishes technical standards, improves data reliability and performance, and provides technical guidance across data initiatives. The role partners with technical and business stakeholders to ensure data is accessible, secure, accurate, well-governed, and actionable in a fast-paced, fiber-focused environment., * 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 to support business intelligence, analytics, and operational use cases. * Own and enhance data infrastructure across cloud and on-premise environments, including platforms such as 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 Ezee Fiber 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 technologies such as 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 ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Crafting Custom Frameworks with Rust: A Deep Dive into Procedural Macros](https://www.wearedevelopers.com/videos/849-crafting-custom-frameworks-with-rust-a-deep-dive-into-procedural-macros) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Why Event-Driven Architecture Isn’t About Speed (and When You Actually Need It)](https://www.wearedevelopers.com/magazine/745-why-event-driven-architecture-isn-t-about-speed-and-when-you-actually-need-it)