Data Engineer - Remote, US

Only for registered members Remote, US, United States

7 hours ago

$80,000 - $140,000 (USD) per year *

* This salary range is an estimation made by beBee

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 ...

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 searching for a Data Engineer to join our growing Engineering team The ideal candidate is a Data Engineer with strong data analytics 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.

Responsibilities:

Collaborate with analytics and finance teams to enable trusted metrics and dashboards in Looker
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)
Integrate data workflows with backend services and APIs
Ensure data quality, reliability, and observability
Optimize performance and cost across BigQuery and data pipelines
Support experimentation, reporting, and advanced analytics use cases
Collaborate with CI/CD enhancements to existing process
Participate in infrastructure decisions to implement data ingestions pipelines

Requirements

3 years of experience as a Data Engineer or Analytics Engineer
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)

Preferred Skills

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 working with Product to gather requirements and understanding business needs
Familiarity with CI/CD pipelines and infrastructure as code
Experience with streaming or event-based architectures
Experience with Ruby or Ruby on Rails is a plus

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.

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.

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