Revisa oportunidades remotas de Spark y confirma ubicaciones aceptadas antes de aplicar.
Esta página reúne roles remotos con elegibilidad de ubicación visible para profesionales de desarrollo, datos, DevOps, QA, soporte y otras áreas de TI.
Usa Spark como filtro de stack sin cambiar los nombres originales de los cargos, comparando seniority, países aceptados y preparación para aplicar.
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,
GROPYUS · Data Science
Design, build, and maintain core data platform components, including ingestion frameworks, transformation pipelines, and data storage layers
Sport Alliance GmbH · Data Science
Build and optimize cloud-native data pipelines on AWS — ETL/ELT and the infrastructure underneath (Aurora, Redshift, dbt, Spark/EMR, Airflow, CDC) — using AI tooling as a standard part of the workflow.
Remedy Product Studio · Data Science
Design, develop, and maintain scalable ETL/ELT pipelines and data workflows.
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.
Foundever · Data Science
Design and optimize complex data storage solutions, including data warehouses and data lakes.
Sport Alliance GmbH · Data Science
Build and optimize cloud-native data pipelines on AWS — ETL/ELT and the infrastructure underneath (Aurora, Redshift, dbt, Spark/EMR, Airflow, CDC) — using AI tooling as a standard part of the workflow.
Valtech · Data Science
The work we do and the innovation we drive
Valtech
The work we do and the innovation we drive
Teravision Technologies · Data Science
Fully remote position.
VirtusLab
Strong Python and production ML skills, with a proven track record of shipping models into real production pipelines.
ENSEK · Developer
Lead and manage team of data engineers, across either core data products or finance assurance
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.
reos · Data Science
Du entwickelst und verantwortest die Architektur sowie die Implementierung skalierbarer ETL‑Pipelines auf Basis von Microsoft Fabric und sorgst für eine effiziente, automatisierte Integration heterogener Datenquellen
SparePartsNow GmbH · Data Science
Konzeption und Umsetzung moderner Datenpipelines: Du entwickelst und optimierst Batch- und Streaming-Datenpipelines und sorgst dafür, dass Daten zuverlässig, performant und skalierbar verarbeitet werden.
Xenon7
About us: Where elite tech talent meets world-class opportunities! At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting- edge projects that leverage the latest technologies across various domains
DoiT International
System Ownership: Design, build, and deploy large-scale distributed systems and high-throughput data pipelines using Go and cloud-native technologies.
Nebius · Data Science
Design, develop, and maintain scalable data pipelines.
DoiT International
System Ownership: Design, build, and deploy large-scale distributed systems and high-throughput data pipelines using Go and cloud-native technologies.
Remedy Product Studio · Data Science
Design, develop, and maintain scalable ETL/ELT pipelines and data workflows.
Design and optimize complex data storage solutions, including data warehouses and data lakes.
Anteriad · Data Science
Partner with technical and non-technical stakeholders to translate business requirements into scalable, reliable, and maintainable data engineering solutions.
Valtech
The work we do and the innovation we drive
reos · Data Science
Du entwickelst und verantwortest die Architektur sowie die Implementierung skalierbarer ETL‑Pipelines auf Basis von Microsoft Fabric und sorgst für eine effiziente, automatisierte Integration heterogener Datenquellen
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
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