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.
You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely.
Databricks · Enterprise Sales
Tendrás una influencia directa en la estrategia de datos de las empresas más transformadoras.
Databricks · Enterprise Sales
Tendrás una influencia directa en la estrategia de datos de las empresas más transformadoras.
Databricks · Education & Training
Drive the commercial success of Databricks’ learning and enablement offerings across enterprise accounts for the assigned Americas Business Unit.
Databricks · Professional Services Operations
Be responsible for the successful delivery of our most complex customer engagements by providing technical leadership and guidance to the implementation team.
MongoDB · Technical Support Premium Services
5+ years of relevant experience
MongoDB · Technical Support Premium Services
5+ years of relevant experience
Chainguard · International Sales Engineering
Belief – Build technical conviction in Chainguard
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
Databricks · Business Development
GTM Strategy & Execution: Develop and execute AMER GTM strategy, implementing innovative strategies that expand our market presence.
Databricks · Enterprise Sales
Present a territory plan within the first 90 days
ioet · Data Science
Design and implement scalable ETL processes
Liderar a instrumentação ponta a ponta de métricas (infraestrutura e aplicação), logs estruturados e tracing distribuído, garantindo visibilidade do ecossistema.
Halliburton · Developer
Develop and maintain backend services and REST APIs using Python frameworks (FastAPI, Flask, or Django)
NTT DATA · Data Science
Develop and implement machine learning models such as recommendation engines, customer segmentation, and predictive analytics to support customer-centric business initiatives.
Mutt Data · Data Science
Co-develops batch and streaming pipelines, semantic models, and transformationson Databricks (Python/Spark).
Remedy Product Studio · Data Science
Design, develop, and maintain scalable ETL/ELT pipelines and data workflows.
Mutt Data
Lead end-to-end data migration initiatives, ensuring a smooth, secure, and business-aligned transition.
Sezzle · Data Science
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.
Valtech · Data Science
A curious problem solver who challenges the status quo
ConnectWise · Data Science
Builds/ Optimizes machine learning models.
Teravision Technologies · Data Science
Fully remote position.
Fusemachines
Convert data science prototypes (propensity, lookalike, segmentation, fusion) into reproducible, production-quality ML services.
Play a pivotal role in architecting and developing software solutions across the full stack that push the boundaries of technology
TheHiveCareers
Data Architecture & Pipeline Development Design and maintain scalable data pipelines for efficient data processing.
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
TheHiveCareers
Data Architecture & Pipeline Development Design and maintain scalable data pipelines for efficient data processing.
TheHiveCareers · Data Science
and delivery of robust and complete roadmap Assess data to determine strategic approach to data management and identify data dictionary Identify data security
Sigma Software
Design, develop, and optimize scalable Machine Learning models for advertising intelligence and forecasting systems
Tractian · Data Science
Design and maintain robust data pipelines to ingest from a wide range of sources, including APIs, documents, websites, and raw sensor data
Collaborate with cross-functional teams to understand data requirements, identify potential data sources, and define data ingestion
Act as a technical advisor for the integration between Databricks and data privacy/governance tools.
Design, build, and maintain scalable data pipelines for analytics, ecommerce, logistics, and marketing.
Spotify · Data Science
Contribute to designing, scaling/building, evaluating, integrating, shipping, and refining reward signals for recommendations by hands-on ML development.
Lingaro
At least 4 years of experience as a Data Engineer working with GCP cloud-based infrastructure & systems.
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
Metova · Data Science
Participate in cross-functional meetings to define project objectives and scope.
End to end ownership of our database and data warehousing infrastructure, its KPIs and its SLAs, including MySQL, Postgres, CDC capture, and Redshift.
Nebius · Data Science
Design, develop, and maintain scalable data pipelines.
Remedy Product Studio · Data Science
Design, develop, and maintain scalable ETL/ELT pipelines and data workflows.
Akumin
Development of complex SQL queries for data extraction, manipulation, and reporting and transformation technologies
Xideral
Ingles avanzado C1.
Zencore
4+ years working as a Data Engineer in modern cloud environments.
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