Data Engineer

UJET is an AI-powered contact center technology company delivering a cloud platform focused on customer experience, automation, and actionable data insights. UJET is seeking a Data Engineer to own data systems end to end, including CDC replication, BigQuery and dbt pipelines, Terraform-managed infrastructure, and Looker models. The role will improve data platform reliability, trusted metrics, analytics, and customer-facing reporting.

Responsibilities:

• Build and evolve the data platform foundations that make it easy and safe for others to ship dbt work (project structure, environments, permissions, patterns, documentation)
• Establish and maintain standards and guardrails for dbt development (testing strategy, source freshness, documentation, code review practices)
• Improve the developer experience for data workflows, including CI/CD, automated checks, and repeatable deployment patterns
• Manage data infrastructure as code with Terraform, including pipelines, IAM, and environments
• Improve and troubleshoot CDC replication from MySQL to BigQuery with Datastream
• Build tooling for backfills, drift detection, and reconciliation between source databases and the warehouse
• Contribute to infrastructure decisions on data ingestion and platform evolution, including latency, throughput, and alternative CDC approaches
• Partner with Analytics and Finance to define and deliver trusted metrics and dashboards in Looker
• Build and maintain analytics-ready datasets that support self-serve reporting and experimentation
• Support customer-facing, multi-tenant reporting with a focus on correctness, tenant isolation, and query performance
• Develop and optimize BigQuery data models for analytics and product use cases
• Implement ELT best practices in dbt, including testing, documentation, and versioning
• Design, build, and maintain scalable data pipelines using Python, dbt, and containerized jobs on GKE
• Ensure data quality, reliability, and observability for critical datasets and reporting
• Optimize performance and cost across BigQuery and data pipelines
• Integrate data workflows with backend services and APIs
• Work with Product and Engineering to translate business needs into data solutions

Requirements:

• 5+ years of software engineering experience, with deep data platform experience
• Strong programming skills in Python
• Strong SQL skills and experience with analytical data modeling
• Hands-on experience with BigQuery (or a similar cloud data warehouse)
• Production experience with dbt (dbt Labs), including building models yourself
• Experience building or improving the infrastructure around data workflows (reliability, observability, CI/CD, permissions, environments, deployment patterns)
• Experience with infrastructure as code, preferably Terraform
• Experience with a major cloud platform (GCP preferred)
• Strong software engineering fundamentals (testing, version control, code reviews)
• Applicants must be legally authorized to work in the country in which this position is located, without the need for current or future employer-sponsored visa sponsorship
• UJET does not sponsor employment visas for this role
• Experience with GCP services (Datastream, Cloud Storage, Cloud Run, and Pub/Sub)
• Change data capture experience (GCP Datastream or MySQL binlog/GTID replication)
• Experience with Kubernetes-based orchestration (Argo Workflows or similar)
• Experience with Looker (LookML, semantic modeling, dashboards)
• Familiarity with Ruby on Rails or Go, which power the application-layer services our data platform depends on
• Experience collaborating with Product to gather requirements and translate business needs into data solutions