[Remote] Data Engineer

Note: The job is a remote job and is open to candidates in USA. Sand Cherry Associates delivers customer-centric, data-empowered digital solutions. The company is seeking a Data Engineer to build and operationalize data pipelines, monitoring frameworks, dashboards, alerts, and analytics for network and service performance using Skyline DataMiner and Power BI. The role analyzes network telemetry and translates operational data into actionable insights for technical and executive stakeholders.

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 DataMiner, 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 DataMiner 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

Skills

• Must have experience working with Skyline DataMiner 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 reporting using Power BI
• Experience integrating data from multiple enterprise and operational systems
• Experience developing monitoring metrics, KPIs, alerts, or automated reporting
• Strong analytical skills with the ability to identify patterns, anomalies, and performance trends
• Ability to translate complex technical data into understandable insights for business and executive audiences
• Strong collaboration skills with the ability to work across engineering, operations, analytics, and business teams
• Candidates must be fully authorized to work in the United States without requiring visa sponsorship or visa transfers

Benefits

• Recognition for employees' contributions
• Opportunity to be part of a digital workforce
• Self-responsibility in the workplace, with team members managing their own workloads
• Professional career growth
• Investment in and empowerment of consultants and employees

Company Overview