Veja oportunidades remotas de Spark e confirme locais aceitos antes de aplicar.
Esta página reúne vagas remotas com elegibilidade de localização visível para profissionais de desenvolvimento, dados, DevOps, QA, suporte e outras áreas de TI.
Use Spark como filtro de stack sem alterar os nomes originais dos cargos, comparando senioridade, países aceitos e prontidão para aplicação.
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.
Databricks · Delivery Solutions Architects
Engage with the Solutions Architect to understand the full Use Case Demand Plan for prioritized customers.
Twilio · Engineering
Design and deliver robust, high-scale routing experiences for the Data platform/ pipelines team for Twilio Segment.
Twilio · Engineering
Build and maintain scalable machine learning solutions in production
Twilio · Engineering
Lead architecture and system design for complex, distributed software systems; guide teams toward scalable, maintainable solutions.
MongoDB · Solutions Consulting, Partners
5+ years of pre-sales experience with enterprise software and technical aptitude
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
Chainguard · International Sales Engineering
Partner with our Sales Team to help customers evaluate and prove the value of our solution
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
Databricks · Professional Services Operations
Develop cutting-edge GenAI solutions, incorporating the latest techniques from our Mosaic AI research to solve customer problems
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
Globalization Partners
Lead the design and implementation of internal SDKs and self-service frameworks that enable distributed engineering teams to ingest and transform data autonomously.
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.
Lumiq
Lead, mentor, and manage a team of Data Engineers to deliver high-quality data solutions.
Full-stack application development
Alimentiv
Architect, design, and implement end-to-end data solutions using Azure Databricks, PySpark, Azure Data Factory, and Azure SQL.
Fusemachines
Convert data science prototypes (propensity, lookalike, segmentation, fusion) into reproducible, production-quality ML services.
YipitData · Developer
Ownership That Matters: You’ll lead high-impact projects with real business outcomes
People Profilers Vietnam
3+ years ofwork experience on Backend system or java application to serve large-scale andhigh traffic projects.
Tech Holding
Design, develop, and maintain scalable data pipelines and ETL/ELT workflows on AWS.
ADI Group · Developer
Work with cross-functional teams in product, data science, sales and finance to achieve business goals and contribute to product strategy Provide mentorship, coaching and career development guidance to members of the team Build and
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
Build and maintain scalable machine learning solutions in production
Groundtruth India Pvt Ltd · Developer
Architect Scalable Pipelines: Oversee the design and deployment of large-scale distributed data processing jobs using PySpark on Amazon EMR clusters and serverless AWS Glue ETL jobs.
Sezzle
Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment.
SRM Technologies
• AWS or other cloud certifications • Experience with Agile methodologies (Scrum/Kanban) • Knowledge of databases (Oracle or other RDBMS) and data migration tools • Exposure to big data technologies like Hadoop or Spark • Experience
VirtusLab
Strong Python and production ML skills, with a proven track record of shipping models into real production pipelines.
Ira Commerce · Data Science
Develop and maintain scalable data pipelines to support business requirements.
Maintain and improve our Redpanda-based event streaming infrastructure
Portcast
Design, build and maintain APIs, services and systems and debug production issues across multiple levels of the stack.
Particle41 · Data Science
Design, implement, and optimize Elasticsearch clusters for high-performance querying and data retrieval.
Rearc · Developer
Utilize NDR, EDR, real-time streaming, and SIEM technologies to develop robust threat detection capabilities.
Creative Chaos · Data Science
Design and develop scalable and reliable data pipelines, ensuring high availability and performance.
Anteriad · Data Science
Partner with technical and non-technical stakeholders to translate business requirements into scalable, reliable, and maintainable data engineering solutions.
NextGen Healthcare · Data Science
Design, implement, and optimize ETL/ELT pipelines to support data ingestion and transformation from diverse healthcare data sources.
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.
Amplemarket · Data Science
Design and implement data pipelines for the collection, storage, and transformation of data from a variety of sources
Imply · Developer
Build scalable and performant Ingestion plugins to get the data into Lumi.
YipitData
Ownership That Matters: You’ll lead high-impact projects with real business outcomes
Design and implement recommender systems to improve product discovery and enhance customer engagement across digital and physical platforms.
Confluent · Engineering
Technically lead the evolution of the Confluent Platform, with deep ownership of USM, hybrid-first management, and platform-wide operational capabilities.
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