Revisa oportunidades remotas de AWS 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 AWS como filtro de stack sin cambiar los nombres originales de los cargos, comparando seniority, países aceptados y preparación para aplicar.
Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software
Hire Hangar · Data Science
Design, build, and maintain robust data pipelines for ingestion, transformation, and feature engineering
Blanc Labs · Data Science
Design, build, and maintain scalable data pipelines using Databricks and Apache Spark
Blend360
Lead and mentor a team of data engineers, fostering best practices in coding, architecture, and data engineering standards.
NextGen Healthcare
Own service reliability and operational health—establish and maintain SLOs/SLIs, design monitoring and alerting strategies, and drive improvements that enhance service availability and performance across cloud platforms.
Applaudo Studios · Data Science
5+ years of experience as a Data Engineer.
ioet · Data Science
Design and implement scalable ETL processes
Halliburton · Developer
Develop and maintain backend services and REST APIs using Python frameworks (FastAPI, Flask, or Django)
AgilityFeat · Data Science
Design and maintain ETL/ELT pipelines for large-scale data processing.
Lemon.io · Development
The rate depends on your seniority level, skills and experience. We've already paid out over $11M to our engineers.
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.
Blend360 · Data Science
Develop and implement Snowflake-based governance solutions that ensure data quality, security, and compliance across enterprise platforms.
Omada Health
Want to make a difference in how people manage real life health problems.
Tergar International · Data Science
Design, build, and maintain reliable and scalable ETL (extract, transform, load) pipelines to collect, process, and store large volumes of structured and unstructured data from multiple sources.
Canary Technologies
Define and enforce best practices for secure coding, dependency management, and design reviews across engineering teams
Factored
Cross-Functional Stakeholder Leadership: Translate complex business requirements into technical AI specifications in collaboration with product, operations, and business teams.
Teravision Technologies · Data Science
Fully remote position.
3Pillar Global · Data Science
Design and implement advanced PostgreSQL schemas with row-level security (RLS) for multi-tenant applications.
3Pillar Global
Design, implement, and maintain cloud-native platform to support AI and data workloads, with a focus on AI and data platforms such as Databricks and AWS Bedrock.
TheHiveCareers
Data Architecture & Pipeline Development Design and maintain scalable data pipelines for efficient data processing.
MediaRadar · Data Science
Build and operate pipelines: Design, build, and optimize robust ETL/ELT pipelines that move and transform millions of daily data points reliably and efficiently.
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