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UJET

Data Engineer

UJET

. Own UJET's data systems end to end, including CDC replication from production MySQL, BigQuery pipelines and jobs, Terraform-managed infrastructure, and Looker models .

Posted 9/24/2026full-timeRemote • United StatesMid-LevelSenior💰 $140,000 - $160,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in building and maintaining data platforms, with a strong focus on data quality, reliability, and observability. Proficient in utilizing tools such as dbt, BigQuery, and Terraform to optimize data workflows and support analytics-ready datasets.

Highest-signal resume keywords
Python ProgrammingSQL SkillsBigQuery ExperienceDbt Production ExperienceTerraform Infrastructure Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data ModelingChange Data CaptureCI/CD PracticesData Pipeline DevelopmentELT Best PracticesAnalytical Data ModelingTesting and Version ControlObservability StandardsData Quality AssuranceContainerization
Soft Skills
CollaborationProblem-SolvingCommunication
Tools & Technologies
BigQueryDbtTerraformGCPLookerDatastreamCloud StorageCloud RunKubernetesArgo Workflows
Industry Keywords
Data InfrastructureData WorkflowsAnalytics-Ready DatasetsMulti-Tenant ReportingData Solutions

Tech Stack

Tools & technologies
BigQueryCloudGoogle Cloud PlatformKubernetesMySQLPythonRubyRuby on RailsSQLTerraformGo

About the role

Key responsibilities & impact
  • Own UJET's data systems end to end, including CDC replication from production MySQL, BigQuery pipelines and jobs, Terraform-managed infrastructure, and Looker models
  • Build and evolve data platform foundations for safe dbt development, including project structure, environments, permissions, patterns, and documentation
  • Establish and maintain dbt standards and guardrails, including testing, source freshness, documentation, and code review practices
  • Improve developer experience through 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 data ingestion and platform evolution decisions involving latency, throughput, and alternative CDC approaches
  • Partner with Analytics and Finance to define and deliver trusted metrics and Looker dashboards
  • Build and maintain analytics-ready datasets for self-serve reporting and experimentation
  • Support customer-facing, multi-tenant reporting with focus on correctness, tenant isolation, and query performance
  • Develop and optimize BigQuery data models and implement ELT best practices in dbt
  • 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

Requirements

What you’ll need
  • 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 infrastructure around data workflows, including reliability, observability, CI/CD, permissions, environments, and deployment patterns
  • Experience with infrastructure as code, preferably Terraform
  • Experience with a major cloud platform, with GCP preferred
  • Strong software engineering fundamentals, including testing, version control, and code reviews
  • Must be legally authorized to work in the United States without current or future employer-sponsored visa sponsorship
  • Preferred: Experience with GCP services including Datastream, Cloud Storage, Cloud Run, and Pub/Sub
  • Preferred: Change data capture experience, including GCP Datastream or MySQL binlog/GTID replication
  • Preferred: Experience with Kubernetes-based orchestration, such as Argo Workflows
  • Preferred: Experience with Looker, LookML, semantic modeling, and dashboards
  • Preferred: Familiarity with Ruby on Rails or Go
  • Preferred: Experience collaborating with Product to gather requirements and translate business needs into data solutions

Benefits

Comp & perks
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • 401(k) plan
  • Wellness benefits
  • Equal employment opportunities
  • Reasonable accommodation in the application process, including an alternative to AI-assisted screening