Enabling the development of electric vehicles of the future. From #materialscience to ultimate #emobility products.
Data Engineer
Location
United States
Posted
1 day ago
Salary
$140K - $160K / year
Seniority
Mid Level
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 www.ujet.cx.
Opportunity
UJET is looking for a Software Engineer to join our growing Data Platform team. This role is ideal for an engineer who enjoys building the data platform and the infrastructure around it.
You will help build scalable, reliable data systems and workflows that enable others (analysts, product partners, and engineers) to confidently create and maintain dbt models. You will also be hands-on in developing dbt models yourself, especially for high-impact, cross-functional datasets.
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 additional GCP services is a plus.
What You'll Do:
Data platform enablement
- 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
Trusted metrics and analytics
- 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
Data modeling and transformation (dbt + BigQuery)
- Develop and optimize BigQuery data models for analytics and product use cases
- Implement ELT best practices in dbt, including testing, documentation, and versioning
Pipelines, reliability, and cost
- Design, build, and maintain scalable data pipelines using Python and dbt
- Ensure data quality, reliability, and observability for critical datasets and reporting
- Optimize performance and cost across BigQuery and data pipelines
Cross-functional delivery
-
- Integrate data workflows with backend services and APIs
- Participate in infrastructure decisions related to data ingestion and platform evolution
Requirements
- 5+ years of experience as a Software Engineer with deep data platform experience
- Strong programming skills in Python
- SQL skills and experience with analytical data modeling
- Hands-on experience with BigQuery (or a similar cloud data warehouse, with willingness to ramp)
- 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)
- Strong software engineering fundamentals (testing, version control, code reviews)
- Experience with GCP services such as Cloud Storage, Cloud Functions, Cloud Run, Pub/Sub, Composer
Preferred Qualifications
- Experience with Looker (LookML, semantic modeling, dashboards)
- Experience collaborating with Product to gather requirements and translate business needs into data solutions
- Experience with streaming or event-based architectures
- Experience with Ruby or Ruby on Rails
Annual US Hiring Range: $140,000 - $160,000
*A candidate’s actual placement within this range will depend on geographic location, work experience, education, and/or skill level.
#LI-Remote
UJET is an Equal Opportunity Employer
UJET provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Compliance Responsibilities
Security, data protection and compliance (SDPC) are paramount to the success of our partnerships. All roles at UJET require compliance with legal and regulatory requirements and acceptance and adherence to all policies and standards within UJET. Personnel acknowledges they are personally responsible for reporting any suspected violations or abuse and are required to complete SDPC training and fulfill role-specific SDPC responsibilities.
Why UJET?
- 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.
- Comprehensive Benefits: Medical, dental, vision, 401(k) plan, commuter benefits, and more.
Job Requirements
- 5+ years of experience as a Software Engineer with deep data platform experience
- Strong programming skills in Python
- SQL skills and experience with analytical data modeling
- Hands-on experience with BigQuery (or a similar cloud data warehouse, with willingness to ramp)
- 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)
- Strong software engineering fundamentals (testing, version control, code reviews)
- Experience with GCP services such as Cloud Storage, Cloud Functions, Cloud Run, Pub/Sub, Composer
- Preferred Qualifications
- Experience with Looker (LookML, semantic modeling, dashboards)
- Experience collaborating with Product to gather requirements and translate business needs into data solutions
- Experience with streaming or event-based architectures
- Experience with Ruby or Ruby on Rails
Benefits
- Medical, dental, vision, 401(k) plan, commuter benefits, and more.
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