Sand Cherry Logo

Sand Cherry

Data Engineer

Posted 12 Days Ago
Remote
Hiring Remotely in United States
Entry level
Remote
Hiring Remotely in United States
Entry level
Build and maintain data pipelines for network and operational telemetry, integrate DataMiner and other monitoring systems, create Power BI dashboards, configure monitoring metrics and alerts, automate reporting, analyze network performance and recovery events, and translate technical findings into actionable insights for technical and executive stakeholders.
The summary above was generated by AI

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 on exceptionally skilled, high-energy talent working with the support of the full Sand Cherry team.  Finding the right match for this role is a critical aspect of continuing that 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 DataMiner 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.


The ideal candidate brings hands-on experience working with Skyline DataMiner and combines strong data engineering and business intelligence capabilities with an understanding of network or telecommunications performance data. The Data Engineer will help transform data from multiple systems into actionable intelligence, enabling teams to understand how services are performing, identify when recovery mechanisms are activated, evaluate whether service remains seamless during network events, and communicate those findings to technical and executive stakeholders. 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 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.

Requirements

Required Qualifications

  • 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.

Benefits

Our team is unique — we are passionate about what we do. At Sand Cherry, our Consultants know they are impacting and shaping our clients’ industries. We recognize our employees for their contributions. Our culture is one of the most friendly and communicative in the consulting industry. Sand Cherry is not a top-heavy organization. We offer the opportunity to be part of a digital workforce. Discover the experience that only comes with self-responsibility in the workplace. Our team members manage their own workloads and are expected to deliver exceptional work for our clients. Professional career growth is one of our main priorities, as we affirm that investing in our Consultants and empowering our people will also deliver the best results and value for our clients.

Similar Jobs

3 Days Ago
Remote or Hybrid
209K-262K Annually
Senior level
209K-262K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Design, build, and operate scalable cloud data pipelines, platforms, and applications using distributed data technologies. Lead architectural decisions, evaluate platforms such as Snowflake and Databricks, establish engineering patterns, and deliver resilient data solutions. Collaborate with product managers, software engineers, analysts, and data scientists while mentoring engineers and communicating technical outcomes to stakeholders. Drive large-scale data initiatives independently in an Agile environment.
Top Skills: AgileAirflowAWSCassandraDagsterDatabricksDynamoDBEmrGlueGCPJavaAzureMongoDBMonte CarloNoSQLPythonRedshiftScalaSnowflakeSparkSplunkSQL
4 Days Ago
In-Office or Remote
47-64 Hourly
Internship
47-64 Hourly
Internship
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Data Engineering Interns will define metrics, instrument logging, ingest and model data, transform datasets, ensure data quality and governance, and support visualization, reporting, alerting, and scalable systems. They will partner with product, analytics, and data consumers to improve product engagement, efficiency, costs, and strategic decision-making. The 12-week, full-time internship includes technical training, mentorship, and hands-on project experience.
Top Skills: PythonRelational DatabasesSQL
6 Days Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
99K-167K Annually
Mid level
99K-167K Annually
Mid level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Build and maintain reliable data pipelines, computed tables, and scalable data models using SparkSQL and PySpark. Integrate IoT, product, customer, external, unstructured, and ML-related data into a central data lake for analytics, causal inference, model training, and dashboards. Ensure high data quality and uptime while collaborating with data science, analytics, AI/ML, and engineering teams.
Top Skills: Apache AirflowAWSAzureDagsterData LakeData ModelingData PipelinesDatabricksDelta LakeETLGCPGitGitPrefectPysparkPythonRest ApisSparksqlSQL

What you need to know about the Chicago Tech Scene

With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.

Key Facts About Chicago Tech

  • Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
  • Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
  • Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
  • Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account