ujet.cx Logo

ujet.cx

Data Engineer

Reposted 2 Days Ago
Easy Apply
Remote
Hiring Remotely in US
140K-160K Annually
Mid level
Easy Apply
Remote
Hiring Remotely in US
140K-160K Annually
Mid level
Build and operate scalable data pipelines and analytics-ready datasets using Python, dbt, and BigQuery. Develop Looker dashboards, ensure data quality and observability, optimize performance and cost, integrate data workflows with backend services and CI/CD, and support analytics, experimentation, and production use cases.
The summary above was generated by AI

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.

Top Skills

BigQuery
Ci/Cd
Cloud Functions
Cloud Run
Cloud Storage
Composer
Dbt
Google Cloud Platform
Looker
Lookml
Pub/Sub
Python
Ruby
Ruby On Rails
SQL

Similar Jobs

An Hour Ago
Remote or Hybrid
286K-392K Annually
Senior level
286K-392K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
The Senior Distinguished Data Engineer will architect and deliver data solutions for Compliance and AML, mentor talent, and drive modern tech adoption.
Top Skills: AWSPythonScalaSQL
Yesterday
Remote or Hybrid
CA, USA
100K-155K Annually
Senior level
100K-155K Annually
Senior level
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
The Data Engineer will lead data projects, collaborate with stakeholders, develop data transformations, and maintain data quality for business needs.
Top Skills: AirflowData LakesDbtGitGitlab Ci/CdJenkinsPythonRedshiftSnowflakeSQL
5 Days Ago
Remote or Hybrid
286K-392K Annually
Expert/Leader
286K-392K Annually
Expert/Leader
Fintech • Machine Learning • Payments • Software • Financial Services
The role involves driving data engineering innovation, mentoring, promoting modern technologies, and enhancing technical practices at Capital One. Distinguished Engineers will influence key stakeholders while building next-generation solutions and talent within the organization.
Top Skills: AWSPythonScalaSQL

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account