Revisa roles remotos de Spark que aceptan candidatos en Canadá.
Esta página reúne roles remotos abiertos para candidatos en Canadá. Así evitas perder tiempo con posiciones que parecen remotas, pero restringen contratación por país, zona horaria, nómina o política interna.
Usa Spark como filtro de stack sin cambiar los nombres originales de los cargos, comparando seniority, países aceptados y preparación para aplicar.
Operate and develop the Elastic Build service, our Kubernetes + GitHub + Cloud Run pipeline that converts package specifications into real downloadable artifacts, improving reliability, performance, resource usage
Chainguard · R&D Engineering
Find high-leverage opportunities: Run listening tours and current-state assessments across functions. Identify and prioritize the workflows where AI can deliver outsized impact, weighing impact potential against feasibility
Canonical · Charm Engineering
Collaborate proactively with a distributed team
Canonical · Charm Engineering
You will lead a team building scalable data solutions for Kubernetes and cloud machines
Canonical · Field Engineering
Understand Ubuntu, Linux, networking and services in real-world environments
Canonical · Field Engineering
Lead and develop a team of Field engineers, ranging from graduate to senior, in the areas of Presales and Professional Services
Canonical · Field Engineering
Work across the entire Linux stack, from kernel, networking, storage, to applications
Canonical · Field Engineering
Understand Ubuntu, Linux, networking and services in real-world environments
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.
MixMode · Data Science
Design and operate production ML systems for large-scale, streaming data
ConnectWise · Data Science
Builds/ Optimizes machine learning models.
VirtusLab
Strong Python and production ML skills, with a proven track record of shipping models into real production pipelines.
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
VirtusLab
Strong Python and production ML skills, with a proven track record of shipping models into real production pipelines.
Nebius · Data Science
Design, develop, and maintain scalable data pipelines.
Anteriad · Data Science
Partner with technical and non-technical stakeholders to translate business requirements into scalable, reliable, and maintainable data engineering solutions.
OneSix · Data Science
Data Engineering & DevelopmentDevelop and maintain robust data integration pipelines (ETL and ELT) to process large volumes of financial data across cloud and on-premise environments.
Design and implement recommender systems to improve product discovery and enhance customer engagement across digital and physical platforms.
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