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.
Affirm · Financial Platforms - Engineering
Own and deliver strategic outcomes: Drive the definition and delivery of quarterly and long-term goals, ensuring your team’s work ladders up to company-wide objectives.
Affirm · Financial Platforms - Engineering
Own and deliver strategic outcomes: Drive the definition and delivery of quarterly and long-term goals, ensuring your team’s work ladders up to company-wide objectives.
Databricks · Field Engineering - Other
Architect production level ML & AI workloads for customers using our unified platform, including agents, end-to-end ML pipelines, training/inference optimization, integration with cloud-native services, MLOps, etc.
Databricks · Field Engineering - Other
Form successful relationships with clients throughout your assigned territory to provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect.
Databricks · Field Engineering - BIF
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
Databricks · Field Engineering - Other
Lead, mentor, and develop an inclusive pre-sales team in Denmark, supporting both performance and long-term career growth.
Databricks · Delivery Solutions Architects
Designing secure, scalable architecture
Canonical · Field Engineering
Work across the entire Linux stack, from kernel, networking, storage, to applications,
Databricks · Field Engineering - Other
5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing,
Databricks · Field Engineering - Other
5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing,
Databricks · Field Engineering - Other
5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing,
Databricks · Field Engineering - Other
5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing,
Databricks · Field Engineering - Other
5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing,
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
Colibri Digital
Design, develop, and implement data pipelines and ETL processes to ingest, transform, and load data into the data platform.
Sigma Software
Design, develop, and optimize scalable Machine Learning models for advertising intelligence and forecasting systems
Sigma Software
Design, develop, and maintain end-to-end big data pipelines that are optimized, scalable, and capable of processing large volumes of data in real-time and in batch mode
Intetics
Own Databricks production support for the company's data platform, including monitoring, alerting, and incident response across all production data flows.
Orcrist Technologies · Data Science
Build ML prototype vertical slices that connect ingest/processing to inference and visible product outcomes (search, insights, UX flows).
7+ years in data engineering
NeueHealth
Write traditional code and server-less functions using the language best suited for the task, which is primarily Scala. May include development with C# and SQL.
Design and oversee the implementation of an Operational Data Store (ODS) to provide a unified, real-time view of production data.
VirtusLab
Strong Python and production ML skills, with a proven track record of shipping models into real production pipelines.
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