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.
Lead the design and implementation of complex data ingestion pipelines using PySpark, Databricks Intelligence Platform, and AWS services (S3, IAM roles and policies), including Kafka/streaming architectures, schema evolution
Parsons Corporation · Data Science
Design, develop, and maintain scalable data pipelines and ETL processes to ingest, transform, and enrich large volumes of chemical and biological threat data from diverse sources.
SumerSports LLC · Data Science
Build and operate robust data pipelines for ingestion, cleaning, and transformation using Databricks, Airflow, or Dagster.
Teravision Technologies · Data Science
Fully remote position.
Penn Foster · Data Science
Developing Python, SQL, and PySpark based applications and data flows in Databricks
Innovatus Technology Consulting · Data Science
Design, develop, and maintain scalable data pipelines to ingest, transform, and curate logistics, maintenance, and supply chain data from multiple USMC systems.
Cotiviti · Data Science
Create, maintain and execute intermediate to advanced Spark scripts for data management and data validation, and data integration.
Dorle Controls LLC · Data Science
, and designing scalable data lake and data warehouse solutions. Experience across multiple data platforms (Databricks, Snowflake, Azure Data Factory, Synapse, etc.) is a strong advantage. Key Responsibilities 1.
Nebius · Data Science
Design, develop, and maintain scalable data pipelines.
Shift5 · Data Science
Design & Build Pipelines: Design, build, and maintain robust, scalable batch and streaming data processing, storage, and integration pipelines.
ShyftLabs · Data Science
Design, build, and maintain scalable and reliable batch and real-time ETL/ELT data pipelines using cloud services such as GCP Dataflow, Cloud Functions, Pub/Sub, and Cloud Composer.
Anteriad · Data Science
Partner with technical and non-technical stakeholders to translate business requirements into scalable, reliable, and maintainable data engineering solutions.
Cutsforth, LLC · Data Science
Regularly design, develop, and maintain data pipelines that support operational, analytical, and machine learning workloads
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.
Baseten · G&A
Design and maintain core data models and semantic layers
Samsara · Revenue Operations
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, reduce emissions, and most importantly
Koantek · Data Science
Guide Big Data Transformations:Implementation of comprehensive big data projects, including the development and deployment of innovative big data and AI applications.
Valtech · Data Science
A curious problem solver who challenges the status quo
Rackner · Data Science
Build and maintain end-to-end Ingest → Transform → Expose pipelines using Airflow, Spark, dbt, and Iceberg.
Astrana Health · Data Science
Put Patients First
Collectiv · Data Science
Design and implement modern data platforms leveraging Microsoft Fabric (OneLake, Lakehouse, Data Factory, Power BI) and Databricks (Spark, Delta Lake, SQL Warehouses)
Samsara · Business Systems
You want to impact the industries that run our world: Your efforts will result in real-world impact — helping keep the lights on, get food into grocery stores, reduce emissions, and ensure workers return home safely.
Samsara · Platform
You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact – helping to keep the lights on, get food into grocery stores, and most importantly
Samsara · Business Systems
You want to impact the industries that run our world: Your efforts will result in real-world impact — helping keep the lights on, get food into grocery stores, reduce emissions, and ensure workers return home safely.
Samsara · Business Systems
You want to impact the industries that run our world: Your efforts will result in real-world impact — helping keep the lights on, get food into grocery stores, reduce emissions, and ensure workers return home safely.
Samsara · Platform
You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact – helping to keep the lights on, get food into grocery stores, and most importantly
Databricks · Field Engineering - FE Direct Regulated
Provide technical leadership to guide strategic customers to successful implementations on big data projects and large-scale data warehousing workloads.
Databricks · Field Engineering - FE Direct Emerging
Provide technical leadership to guide strategic customers to successful implementations on big data projects and large-scale data warehousing workloads.
Ursa Space Systems · Data Science
Define and evolve the data engineering technology roadmaps aligned to business strategies, enterprise architecture, information security standards.
Remedy Product Studio · Data Science
Design, develop, and maintain scalable ETL/ELT pipelines and data workflows.
AAA · Data Science
Every day you will independently work on design and develop solutions to issues across the business. Our team’s success isn’t just implementing the code but seeing that those insights are implemented by the business
Bright Vision Technologies
Design and operate large-scale data pipelines supporting AI training, evaluation, and continual improvement workflows.
Omada Health · Developer
Data Architecture: Design, develop, and implement scalable, secure, and efficient data solutions that meet the needs of the organization.
Machinify
Lead discovery & technical due diligence — get to the bottom of poorly documented legacy systems (ETL, stored procedures, reporting layers, file feeds), reconstruct the business logic, and capture it in the lineage maps
Shift5 · Data Science
Design & Build Pipelines: Design, build, and maintain robust, scalable batch and streaming data processing, storage, and integration pipelines using technologies such as Apache Airflow or Benthos.
Military, Veterans and Diverse Job Seekers · Developer
Five years of experience working in data engineering or architecture role,
Inizio Partners Corp
The candidate must have complete understanding with hands-on experience in design, coding, and testing aspects
VillageMD
Understand and influence logging to support our data flow, architecting logging best practices where needed.
Root, Inc. · Developer
Partner with Finance, Product, Data Science, Analytics, and experts in the Insurance group to set the strategy for the quarters to come.
Bright Vision Technologies
Design and operate large-scale data pipelines supporting AI training, evaluation, and continual improvement workflows.
Design and oversee the implementation of an Operational Data Store (ODS) to provide a unified, real-time view of production data.
Design, build, and maintain scalable data pipelines for analytics, ecommerce, logistics, and marketing.
Bright Vision Technologies
Design, build, and continuously refine scalable batch and real-time data pipelines using Python, SQL, Spark, Scala, or equivalent technologies, ensuring reliable, efficient
Spokeo
Build infrastructure and data automation pipelines to ingest, process, and load data from various sources. Automate and integrate new components into the data pipeline.
Everfi
Own the design, architecture, and implementation of complex data engineering initiatives on the team — including advanced pipeline development, data platform architecture
Ira Commerce · Data Science
Develop and maintain scalable data pipelines to support business requirements.
Metova · Data Science
Participate in cross-functional meetings to define project objectives and scope.
DoiT International
System Ownership: Design, build, and deploy large-scale distributed systems and high-throughput data pipelines using Go and cloud-native technologies.
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