Senior Data Engineer - GCP

Prime Works LLC; Colombia; On-site; COP 179,185,780 - 286,697,248; Full time

Job summary

Prime Works LLC is seeking an experienced backend engineer to design and implement scalable data services in Colombia. You will work with Google Cloud Platform to build robust data infrastructures and pipelines, ensuring data reliability and security. The ideal candidate will have over 8 years of experience in backend engineering, Kubernetes proficiency, and a strong grip on CI/CD practices. This role also involves mentoring and optimizing cloud costs through FinOps practices.

Qualifications

• 8+ years of experience in backend or platform engineering, with a focus on data-intensive systems.
• Deep hands-on experience with Google Cloud Platform including major components.
• Proficient in Kubernetes for deploying data services.

Responsibilities

• Design and implement backend services in Node.js, Python, and others.
• Architect and manage cloud-native data infrastructure on GCP.
• Build and optimize data orchestration and deployment pipelines using Kubernetes.

Skills

Backend engineering

Google Cloud Platform

Kubernetes

CI/CD pipelines

Data modeling

React

FinOps

Job description

Responsibilities

• Design and implement robust, scalable backend services in Node.js, Python, and other technologies to process and deliver real-time and batch data for analytics, personalization, and search. Integrate new data sources and improve existing ones using many different methods
• Architect and manage cloud-native data infrastructure on GCP (e.g., BigQuery, Dataflow, Pub/Sub, Cloud Storage). Work primarily in Node JS for data extraction and transformation
• Build and optimize data orchestration and deployment pipelines using Kubernetes and modern CI/CD tooling
• Partner with frontend teams to expose data via internal dashboards, admin tools, and customer-facing components
• Ensure data reliability, availability, and security across all services and systems
• Collaborate with data scientists, analysts, and other engineers to build tools that unlock business insights from large-scale data
• Help define data governance, quality, and observability standards
• FinOps exposure/execution - you will have a lead role on a small team in cost auditing existing cloud infrastructure in GCP and proposing and collaborating on engineering changes needed to optimize cloud spends
• Mentor other engineers and contribute to a culture of technical excellence and continuous learning

Requirements

• 8+ years of experience in backend or platform engineering, with a focus on data-intensive systems
• Deep hands-on experience with Google Cloud Platform, including BigQuery, Pub/Sub, Cloud Functions, and GKE
• Proficient in Kubernetes for deploying and scaling data services
• Working knowledge of React for integrating backend systems with internal tools or dashboards
• Solid understanding of data modeling, pipelines, and streaming architectures
• Experience building and maintaining CI/CD pipelines for data applications
• Strong experience working with Google Cloud Platform (GCP) – BigQuery, Dataflow, Pub/Sub, Cloud Storage, Kubernetes
• Experience with FinOps best practices and auditing procedures
• Strong understanding of deduplication to optimize data storage and reduce cloud costs