Note: The job is a remote job and is open to candidates in USA. UJET is an AI-powered cloud contact center platform company focused on improving customer experiences through automation, multimodality, and actionable data insights. UJET is seeking a Data Engineer to own and evolve its data platform, including CDC replication, BigQuery and dbt pipelines, Terraform-managed infrastructure, and Looker models. The role focuses on data reliability, trusted analytics, platform modernization, and cross-functional data solutions.
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
Skills
- 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
Benefits
- Medical
- Dental
- Vision
- 401(k) plan
- Wellness benefits
- Impactful work: Be at the forefront of innovation, directly shaping the future of customer experience.
- Dynamic culture: Join a collaborative, inclusive team that values big ideas, creative solutions, and powerful relationships.
Company Overview