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Data Engineer

UJETβ€’United Statesβ€’πŸŒ Remote
Full-timeMid Level
$140K - $160K
per year
πŸ‘οΈ 0 viewsβ€’πŸ“ 0 applicationsβ€’Posted 10/9/2026β€’Expires 12/8/2026
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Job Description

About Us UJET leads the way in AI-powered contact center innovation, delivering a future-proof, cloud platform that redefines the customer experience with cutting-edge AI, true multimodality, and a mobile-first approach.

We infuse AI across every aspect of your customer journey and contact center operations, to drive automation and efficiency. UJET 's AI solutions empower agents, optimize customer journeys, and transform contact center operations for elevated experiences and actionable insights.

Built on a cloud-native architecture with a unique CRM-first approach, UJET ensures unmatched security, scalability, and prioritized data insights (without storing PII).

Designed for effortless use, UJET partners with businesses to deliver exceptional interactions, smarter decision-making, and accelerated growth in the AI-driven world. Learn more at . Opportunity UJET is looking for a Data Engineer to join our growing Data Platform team.

You'll own our data systems end to end: CDC replication out of production MySQL, the pipelines and jobs that shape data in BigQuery, the Terraform-managed infrastructure underneath, and the Looker models on top. dbt is central to how we work.

You'll build models yourself and set the patterns that let analysts, product partners, and engineers ship their own safely. You should be comfortable debugging a replication issue in the morning and tuning a Looker explore in the afternoon.

This data powers reporting for thousands of customer tenants, including embedded Looker analytics for enterprise customers, and the internal metrics our Operations and Finance teams run the business on. Over the coming year, our focus is data trust and reliability, platform modernization, and treating data as a product.

You'll help shape all three. Our Stack Sources and ingestion: Cloud SQL (MySQL) and BigQuery via GCP Datastream (CDC) Warehouse and transformation: BigQuery, dbt (dbt Labs) Orchestration: GKE-based, using Kubernetes CronJobs and Argo Workflows Semanti

Required Skills

Call Center OperationsCRMData EngineeringGCPKubernetesLookerMySQLSQLTerraform

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