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.
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.
Valtech · Data Science
A curious problem solver who challenges the status quo
Teravision Technologies · Data Science
Fully remote position.
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.
Lingaro
At least 4 years of experience as a Data Engineer working with GCP cloud-based infrastructure & systems.
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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