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Data Engineer

Job in Phoenix, Maricopa County, Arizona, 85001, USA
Listing for: Sand Cherry
Full Time position
Listed on 2026-11-05
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering, Business Intelligence
Salary/Wage Range or Industry Benchmark: 120000 - 150000 USD Yearly USD 120000.00 150000.00 YEAR
Job Description & How to Apply Below
Company Profile

At Sand Cherry Associates,we excel in the design and delivery of strategic customer-centric initiatives through digitally native, data-empowered solutions.

Our client's confidence in us is centered onexceptionallyskilled,high-energy talent working with thesupportofthe full Sand Cherry team.

Finding the right match forthis role is a critical aspect ofcontinuingthat success.

Overview

We are seeking a Data Engineer to help build and operationalize the data, monitoring, and analytics capabilities used to measure network and service performance. Working in Data Miner cloud platform, you will define monitoring triggers, organize performance data, and help turn complex operational information into meaningful dashboards and reporting. This role will work with large volumes of network and operational data to create reliable data pipelines, monitoring frameworks, dashboards, alerts, and executive-level insights.

This is a long-term, remote role. Candidates must be fully authorized to work in the United States without requiring visa sponsorship or visa transfers. Please note that we do not work c2c.

Key Responsibilities
  • Design, build, and maintain data pipelines that collect, process, and organize large volumes of network, operational, and performance data from multiple sources
  • Integrate data from platforms such as Data Miner, and other operational or network-monitoring systems
  • Develop scalable data models that support operational analytics, network monitoring, reporting, and dashboard development
  • Build and maintain Power BI dashboards and reporting solutions that provide visibility into work orders, operational pacing, network performance, and service metrics
  • Help implement and configure Data Miner as a centralized monitoring and analytics platform, including establishing appropriate metrics, triggers, and alerting requirements
  • Aggregate monitoring data from geographically distributed network sources to create a consolidated view of network and service performance
  • Analyze high-volume network telemetry generated during weather events, outages, recovery events, and other network conditions
  • Develop monitoring capabilities that help determine when network recovery mechanisms are activated and whether services continue to perform as expected
  • Translate modeling assumptions and expected service behavior into measurable performance indicators and monitoring criteria
  • Automate recurring performance reporting so that network events can generate meaningful post-event analysis and insights
  • Identify trends, anomalies, and service-performance issues within complex datasets and translate the findings into actionable recommendations
  • Develop clear reporting for both technical teams and executive stakeholders, turning complex network data into concise business insights
  • Collaborate with network engineering, operations, analytics, and business teams to determine what data should be captured, monitored, and presented
  • Help establish scalable data and analytics practices that can support increasing volumes of network telemetry and monitoring requirements
Required Qualifications
  • Must have experience working with Skyline Data Miner to pull and analyze network telemetry, service availability, network recovery, reliability, or performance data
  • Experience in data engineering, data analytics, business intelligence, or a combination of these disciplines
  • Experience building automated event-driven analytics, alerting, or reporting workflows
  • Understanding of network performance concepts and the ability to collaborate effectively with network engineers
  • Experience designing and supporting data pipelines involving large or complex datasets
  • Strong SQL and data modeling skills
  • Experience developing dashboards, visualizations, and operational…
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