✦ Luna Orbit — Data & Analytics

CX Analytics Engineer

at Coinbase

📍 Remote - USA Remote Posted March 23, 2026
Type Full-Time
Experience mid
Exp. Years 3+ years
Education Not specified
Category Data & Analytics

This role involves building and maintaining data pipelines, developing metrics, and enabling CX stakeholders with reliable data to improve customer experience and compliance operations.

  • Own data pipelines and models
  • Build dashboards and metrics
  • Partner with teams for data needs
  • Drive data quality and governance
  • Automate workflows

Focus on data pipeline development, data modeling, data governance, and observability tools like Grafana, ELK Stack, and OpenTelemetry across cloud platforms.

The ideal candidate is a mid-level data engineer with 3+ years of experience in building data pipelines, dashboards, and implementing data governance. They are proficient with cloud platforms and observability tools, and thrive in collaborative, fast-paced environments.

data pipeline developmentdata modelingdata governancebuilding dashboardsstakeholder collaboration
automationmonitoringcloud data platformsscaling analyticscustomer experience
GrafanaELK StackOpenTelemetryAWSAzureGCP
data pipelinesETLSQLPythondata modelingdata governancedashboardsmetricscloud platformsKubernetesOpenTelemetryGrafanaELK Stackautomationmonitoringanalyticscustomer experience
data pipelinesETLSQLPythondata modelingdata governancemetrics developmentcloud platformsKubernetesOpenTelemetryGrafanaELK Stack
collaborationproblem-solvingcommunicationanalytical thinkingadaptabilityfeedback seeking
Industry Fintech
Job Function Data engineering and analytics development
Role Subtype Data & Analytics
Tech Domains Python, SQL / PostgreSQL, Kubernetes, OpenTelemetry, Grafana, ELK Stack, AWS, Azure, Google Cloud Platform
data pipelinesETLSQLPythondata modelingdata governancedashboardsmetricscloud platformsKubernetesOpenTelemetryGrafanaELK Stackautomationmonitoringanalyticscustomer experience

Lack of experience with data pipelines or ETL, No proficiency in SQL or Python, Failure to demonstrate experience with dashboards or metrics, No experience with cloud data platforms

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