Data Engineer (Software-Oriented)
About The Position
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 www.ujet.cx. Opportunity UJET is searching for a Data Engineer to join our growing Engineering team! The ideal candidate is a Data Engineer with strong software engineering experience to build and operate scalable, reliable data systems. You will work closely with backend, product, and analytics teams to enable data-driven decision making and power production features. Our data stack includes BigQuery, dbt (dbt Labs), Python, and Looker, running on Google Cloud Platform (GCP). Experience with Ruby (or Ruby on Rails) and GCP services is a strong advantage.
Requirements
- 3+ years of experience as a Data Engineer or Software Engineer working with data
- Strong programming skills in Python
- Solid experience with SQL and analytical data modeling
- Hands-on experience with BigQuery
- Production experience with dbt (dbt Labs)
- Experience building and maintaining analytics-ready datasets
- Strong software engineering fundamentals (testing, version control, code reviews)
Nice To Haves
- Experience with Google Cloud Platform (GCP) services (e.g., Cloud Storage, Cloud Functions, Cloud Run, Pub/Sub, Composer)
- Experience with Looker (LookML, semantic modeling, dashboards)
- Background in backend or platform engineering
- Experience with Ruby or Ruby on Rails
- Familiarity with CI/CD pipelines and infrastructure as code
- Experience with streaming or event-based architectures
Responsibilities
- Design, build, and maintain scalable data pipelines using Python and dbt
- Develop and optimize BigQuery data models for analytics and product use cases
- Implement ELT workflows and enforce best practices in dbt (testing, documentation, versioning)
- Collaborate with analytics and finance teams to enable trusted metrics and dashboards in Looker
- Integrate data workflows with backend services and APIs
- Ensure data quality, reliability, and observability
- Optimize performance and cost across BigQuery and data pipelines
- Participate in system design, code reviews, and architectural decisions
- Support experimentation, reporting, and advanced analytics use cases
Benefits
- Medical, dental, vision, 401(k) plan, commuter benefits, and more.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
