Data Engineer

Sand Cherry

. Design, build, and maintain data pipelines for large volumes of network, operational, and performance data .

Posted 9/30/2026contractRemote • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining data pipelines, integrating data from various systems, and developing scalable data models for operational analytics. Proficient in building Power BI dashboards and implementing monitoring metrics to enhance network performance insights.

Highest-signal resume keywords

Skyline DataMinerData EngineeringSQLPower BIAutomated Reporting

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DesignData ModelingNetwork Performance AnalysisAutomated Event-Driven AnalyticsKPI DevelopmentData IntegrationPerformance ReportingTelemetry AnalysisAlerting RequirementsOperational Reporting

Soft Skills

CollaborationAnalytical SkillsCommunication

Tools & Technologies

Power BIDataMiner

Industry Keywords

Network TelemetryOperational AnalyticsPerformance DataService AvailabilityData Analytics

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Design, build, and maintain data pipelines for large volumes of network, operational, and performance data
Integrate data from DataMiner and other operational or network-monitoring systems
Develop scalable data models for operational analytics, network monitoring, reporting, and dashboards
Build and maintain Power BI dashboards and reporting solutions
Implement and configure DataMiner as a centralized monitoring and analytics platform
Establish metrics, triggers, and alerting requirements
Aggregate monitoring data from geographically distributed network sources
Analyze high-volume network telemetry during weather events, outages, recovery events, and other network conditions
Develop monitoring capabilities to determine when recovery mechanisms activate and whether services perform as expected
Translate modeling assumptions and expected service behavior into measurable performance indicators
Automate recurring performance reporting and post-event analysis
Identify trends, anomalies, and service-performance issues and provide actionable recommendations
Create reporting for technical teams and executive stakeholders
Collaborate with network engineering, operations, analytics, and business teams
Establish scalable data and analytics practices for growing telemetry and monitoring requirements

Requirements

What you’ll need

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 ability to collaborate 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 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 across engineering, operations, analytics, and business teams
Must be fully authorized to work in the United States without requiring visa sponsorship or visa transfers
Must not require or use c2c arrangements

Benefits

Comp & perks

Opportunity to impact and shape clients’ industries
Recognition for employee contributions
Friendly and communicative company culture
Digital workforce opportunity
Self-responsibility and autonomy in managing workloads
Professional career growth opportunities
Investment in consultants and employee empowerment