Data Engineer
Employment Information
Report this job
Job expired or something wrong with this job?
Job Description
Data Engineer owning CDC, BigQuery, dbt, Terraform, and Looker systems. Building trusted data platforms powering UJET's AI-driven contact center analytics.
Responsibilities:
- 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:
- 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:
- 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
Similar Jobs
Data Engineer
Engenheiro(a) de Dados projetando pipelines e arquiteturas cloud para a Solar Coca-Cola. Modernizando plataformas e garantindo qualidade, governança e segurança dos dados.
Data Engineer
Data Engineers building scalable Azure data pipelines and analytics solutions for The Hanover insurance organization. Developing governed data platforms, models, and integrations across enterprise teams.
Staff Software Engineer, Data Products
Staff Software Engineer architecting data-intensive systems for Highlight’s physical product intelligence platform. Building customer insights through web applications, distributed systems, and AI-enabled analytics.
Data Engineer
Senior Data Engineer building secure HR data warehouses and pipelines for Inallmedia.com’s workforce analytics clients. Developing dbt semantic layers, Snowflake Cortex agents, and MCP-enabled natural-language querying.
Data Engineer – Mid-Level
Mid-Level Data Engineer building AI/ML data pipelines for Ignite Digital, a national-security technology partner. Designing data architectures, QLIK Advana reporting solutions, and automation for Navy IT operations.
Especialista Técnico de Migración de Datos – Bilingüe
Especialista bilingüe ejecutando migraciones de datos para modernizar plataformas de pagos legacy de Sofka. Diseñando controles, pipelines y procesos íntegros de integración tecnológica.
Senior Software Engineer – Data and Integration
Senior software engineer building scalable data pipelines, APIs, and enterprise integrations for Remote. Connecting ERP, CRM, e-commerce, and cloud platforms while improving data reliability.
Data Engineering Coordinator
Coordenador de Engenharia de Dados liderando arquitetura, governança e equipe de dados da Sólides. Empresa brasileira de tecnologia para gestão integrada de pessoas.
Senior Data Engineer
Senior Data Engineer architecting secure, scalable data warehouses and lakes for Avenga’s global technology services. Leading complex data initiatives, governance, and technical teams.
Senior Data Engineer
Senior Data Engineer designing governed Microsoft Fabric pipelines, warehouses and semantic models for Nucleus, a retirement-services platform provider. Leading delivery, controls, incidents and engineering standards.
Data Engineer
Data Engineer building Microsoft Fabric pipelines, warehouses and semantic models for Nucleus retirement platforms. Supporting regulated financial reporting, analytics and AI capabilities.
Senior Data Engineer, GCP
Senior Data Engineer designing GCP data platforms, pipelines, warehouses, and lakehouses. Delivering scalable analytics, AI, and ML solutions for customer environments.
Senior Data Engineer, GCP
Senior Data Engineer building scalable GCP data platforms, warehouses, lakehouses, and pipelines. Leading customer data projects across architecture, analytics, deployment, and governance.
Senior Data Engineer, GCP
Senior Data Engineer designing scalable GCP data solutions for customer environments. Building pipelines, warehouses, lakehouses, and analytics platforms across the full data lifecycle.
Senior Synthetic Data Engineer – Autonomous Driving
Senior Synthetic Data Engineer developing synthetic data, sensor simulation, and Cosmos/NuRec world-model systems. Advancing NVIDIA’s autonomous-driving platform through scalable simulation and validation.
Senior Data Engineer – Data Foundation, Analytics
Senior Data Engineer building CUJU’s data foundation for AI-powered football talent scouting. Developing AWS pipelines, analytics models, and scalable data services.
Software Engineer – Data Products, AI Applications
Software Engineer building executive-ready Databricks applications for Data Elephant, a data and AI consultancy. Developing visualizations, applying AI/ML, and collaborating with client stakeholders.
Senior Data Engineer
Engenheiro de Dados Sênior projetando arquiteturas, modelos e pipelines analíticos para a consultoria de dados Rox Partner. Atuação com Azure, Databricks, Data Lake e Power BI.
Data Architect Principal, Analytics Pipeline
Principal Data Architect designing AWS-Snowflake pipelines that turn government healthcare claims into fraud alerts at GDIT. Owning event-driven architecture, standards, integrations, and production delivery.
Senior Data Engineer – IICS, Redshift
Senior Data Engineer building IICS, Redshift, SQL, and Python data pipelines for CompassX’s consulting clients. Supporting Power BI reporting, data quality, and pharma-sector stakeholder delivery.