Data warehouse engineer [h1.location_city]
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Data warehouse engineer • san bernardino ca
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ToogezaRiverside, CA, United States- [job_card.full_time]
Data Engineer / Developer
We are toogeza, a Ukrainian recruiting company that is focused on hiring talents and building teams for tech startups worldwide. People make a difference in the big game, we may help to find the right ones.
Currently, we are looking for a Data Engineer / Developer for Spinlab.
Location : Remote
Job Type : Full-Time
About our client : We help slot gaming leaders unlock the potential of their data, enhancing business outcomes and strengthening their competitive edge in the market. We collect and process data using advanced methods and technologies to provide our clients with clear, actionable recommendations based on real metrics. SpinLab's goal is not just to collect data but to help businesses use it for maximum efficiency and amplify their performance results.
About the Role : We're looking for a hands-on Data Engineer with a strong focus on data infrastructure, analytics collaboration, and cost-efficient operations. In this role, you will develop and optimize ETL processes, ensure data reliability and scalability, and work closely with analytics and product teams to support data-driven decision-making. You will also contribute to the effective management of cloud resources, with a focus on automation, cost optimization, and continuous improvement.
Responsibilities :
- Understand, format and prepare data for analytics and data-science processes.
- Design, build, and optimize scalable ETL / ELT pipelines for batch and streaming data.
- Collaborate with analysts to understand data needs and ensure accessible, well-modeled data sets.
- Dive deep into system metrics and usage patterns to identify opportunities for FinOps-driven cost savings.
- Manage data infrastructure on GCP (BigQuery, Cloud Composer, Vertex AI, Kubernetes, etc.).
- Automate infrastructure provisioning using Pulumi or Terraform.
- Set up data quality monitoring, alerting, and logging systems.
- Collaborate with data scientists and ML engineers to productionize models and build supporting pipelines.
- Continuously improve performance, scalability, and cost-efficiency of data workflows.
Requirements :
Will be a plus :
Benefits :
What's next? If this role sounds like a fit, we'd love to hear from you! Just send over your CV and anything else you'd like us to consider. We'll review everything within five working days, and if your background matches what we're looking for, we'll get in touch to set up a call and get to know each other better.