Senior Software Engineer - Data Platform

Senior Software Engineer - Data Platform

New York, New York, United States

Met Tel is a global communications solutions provider with the most complete suite of fully managed services that focus on secure connectivity, and network and mobility services. We simplify communications and networking for business and government agencies. Our customers include many of the Fortune 500, and Gartner recognizes us as an industry leader. We have the broadest portfolio of technology and integrated partnerships, as well as our private network, which we use to create tailored solutions design, deployment, and ongoing management, driving cost savings, efficiency, innovation, and the ability to focus on core objectives.

We believe that each team member is a key to the success and sustainability of the group. In order to achieve this, we offer an environment where all professionals can grow and develop their skills and competencies, collaborate with diverse professionals, share knowledge and enjoy a rewarding career.

We are seeking a Senior Software Engineer – Data Platform to join our Data Engineering team in NYC.

You will help build the modern data processing platform behind proactive network monitoring — a core capability of Met Tel's Managed Network Services product, delivered to thousands of enterprise and government customer sites. This is product engineering, not internal maintenance tooling: real-time visibility and automated detection are central to how Met Tel differentiates in the managed network services market, where we have been recognized in the Gartner® Magic Quadrant™ for Managed Network Services for six consecutive years.

What this platform detects, and how quickly, is something our customers experience directly.

• Data Pipeline & Ingestion: Design, build, and operate reliable, scalable, data-intensive pipelines carrying high-volume device and network telemetry — including ingestion and orchestration across network monitoring systems, device and satellite terminal telemetry, and third‑party vendor APIs.
• Real‑Time Event Processing: Build and evolve the stateful, real‑time event processing that turns raw telemetry into meaningful operational events, applying detection logic at scale.
• Workflow & Rule Engine: Extend and enhance the detection and workflow engine to support client‑specific flow paths and parameters through managed configuration that users can view and maintain from the product interface, along with the authoring, validation, and versioning that keeps those changes safe.
• Event & Incident Flow Visibility: Partner with product and front‑end engineers to expose event and incident monitoring flow in the product experience — making it clear what was detected, what it triggered, and where it stands — for network operations engineers today and for customers as the capability expands. Own the data models, APIs, and services behind those views.
• Observability & Data Lineage: Instrument the platform so engineers can trace an event end to end and understand why the system behaved as it did — including per‑job telemetry, retry semantics, and lineage back to the source.
• Data Lakehouse & Storage: Contribute to the design and evolution of our data lakehouse — table and partition design, schema evolution, storage lifecycle, and query performance for downstream analytics and reporting.
• Technology Stack Evolution: Contribute to the ongoing upgrade of our technology stack and architecture to meet the demands of an evolving product roadmap and customer needs.
• Cloud & Dev Ops: Build and operate services on our containerized infrastructure, deploying through CI/CD and following the team's deployment and infrastructure patterns.
• Design & Code Quality: Work with engineering leadership…