Busca roles remotos globales de TI por cargo, stack, ubicación aceptada y compatibilidad.
Collaborate on impactful customer big data projects, such as creating reference architectures, developing how-to guides, and building production-ready efficient, robust and scalable tools and technologies.
Twilio · Finance
Own and evolve Twilio's suite of business intelligence tools, driving governance, performance, and long-term roadmap decisions
MongoDB · Solutions Consulting, Partners
Design scalable, secure, and high-performing application, data, and AI architectures using MongoDB Atlas for customer and partner-led solutions
Cloudflare · Business Intelligence
Design and implement key features of our internal applications
Cloudflare · Business Intelligence
Design and implement core components of our data pipelines and services in Go and Scala, with a focus on scalability, performance, and long-term maintainability.
Cloudflare · Business Intelligence
Deploy, manage & support ML Applications & Services on Kubernetes
Cloudflare · Accounting and Finance
Build the Future of Assurance: Develop end-to-end (full stack) applications that automate control testing, and risk monitoring across Cloudflare’s global infrastructure.
Cloudflare · Business Intelligence
Partner and align with business leaders, stakeholders, product managers and internal teams to understand the business and product challenges and goals and address them using predictive analytics in a globally distributed
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
GitLab · Data Engineering
Build and maintain a unified data collection platform using Golang, Kubernetes, ClickHouse, and NATS, with success measured by reliability, performance, and adoption across GitLab teams.
Lemon.io · Development
The rate depends on your seniority level, skills and experience. We've already paid out over $11M to our engineers.
Ensemble Health Partners · Data Science
Customer Obsession: Consistently provide exceptional experiences for our clients, patients, and colleagues by understanding their needs and exceeding their expectations.
NTT DATA · Data Science
Design and implement tailored data solutions to meet customer needs and use cases, spanning from streaming to data lakes, analytics, and beyond within a dynamically evolving technical stack.
Boldr
Boldr is the first global B-Corp dedicated to delivering world-class Client experiences while creating access to dignified, meaningful work in communities around the world.
Lemon.io · Development
The rate depends on your skills and experience. We've already paid out over $11M to our engineers.
Creative Chaos · Data Science
Designing and implementing robust data pipeline solutions within Azure Data Lake.
Saaf Finance
Design, build, and maintain production-grade AWS infrastructure using Infrastructure-as-Code (Terraform preferred).
VirtusLab
Strong Python and production ML skills, with a proven track record of shipping models into real production pipelines.
Lumiq
Lead, mentor, and manage a team of Data Engineers to deliver high-quality data solutions.
Tech Holding
Design, develop, and maintain scalable data pipelines and ETL/ELT workflows on AWS.
MediaRadar · Data Science
Build and operate pipelines: Design, build, and optimize robust ETL/ELT pipelines that move and transform millions of daily data points reliably and efficiently.
Mrsool · Data Science
Design, build, and maintain scalable batch and real-time data pipelines using Maxwell, Kafka, Spark, and dbt to power analytics and business-critical applications.
KinderCare Education, LLC
Databricks-Native ML Development: Design, develop, and deploy machine learning solutions using Databricks technologies including PySpark, Spark SQL, MLflow, Feature Store, AutoML
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