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.
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 - 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
MongoDB · Solutions Consulting
5 to 8 years of related industry experience, ideally 2 years of experience in a customer facing role.
MongoDB · Solutions Consulting, Growth EMEA
5 to 8 years of related industry experience, ideally 2 years of experience in a customer facing role
MongoDB · Solutions Consulting, Growth EMEA
5 to 8 years of related industry experience, ideally 2 years of experience in a customer facing role
Grafana Labs · R&D : Databases
Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration.
Grafana Labs · R&D : Databases
Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration.
Grafana Labs · R&D : Databases
Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration.
Grafana Labs · R&D : Databases
Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration.
Grafana Labs · R&D : Databases
Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration.
Grafana Labs · R&D: Second Horizon
Build and deliver AI solutions: Take ownership of developing delightful, high-performance AI features to help users discover, organize, and optimize access to large datasets.
Grafana Labs · R&D: Second Horizon
Build and deliver AI solutions: Take ownership of developing delightful, high-performance AI features to help users discover, organize, and optimize access to large datasets.
Grafana Labs · R&D: Second Horizon
Build and deliver AI solutions: Take ownership of developing delightful, high-performance AI features to help users discover, organize, and optimize access to large datasets.
Grafana Labs · R&D: Second Horizon
Build and deliver AI solutions: Take ownership of developing delightful, high-performance AI features to help users discover, organize, and optimize access to large datasets.
Grafana Labs · R&D: Second Horizon
Build and deliver AI solutions: Take ownership of developing delightful, high-performance AI features to help users discover, organize, and optimize access to large datasets.
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,
Enfuce · Data Science
Design, build, and maintain scalable MLOps infrastructure for machine learning and Generative AI applications.
Lemon.io · Development
The rate depends on your seniority level, skills and experience. We've already paid out over $11M to our engineers.
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.
SDG Group · Developer
En SDG Group somos líderes globales en Big Data, Business Intelligence, Analytics e Inteligencia Artificial.
Tinybird · Developer
Enhancing high availability and elasticity so the system can scale automatically and efficiently as our customer base grows. It should make capacity decisions transparently and safely, without manual intervention.
Mitek Systems · Data Science
Design, train, and deploy machine learning models for image-based fraud detection, including
FYST · Data Science
Design the target-state data architecture: Postgres CDC → Kafka → Snowflake → client-facing data products.
Remedy Product Studio · Data Science
Design, develop, and maintain scalable ETL/ELT pipelines and data workflows.
GOAT Group · Data Science
Own the reliability, availability, and accuracy of our data infrastructure, ensuring compliance with data privacy standards
SDG Group · Developer
En SDG Group somos líderes globales en Big Data, Business Intelligence, Analytics e Inteligencia Artificial.
Foundever · Data Science
Design and optimize complex data storage solutions, including data warehouses and data lakes.
Luupli Ltd · Data Science
Design, optimize, and maintain tables and data structures to support recommendation and trending content data.
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
Waymark
Bold Builders: We tackle the toughest challenges in care delivery by harnessing the power of community and technology.
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.
VirtusLab
Strong Python and production ML skills, with a proven track record of shipping models into real production pipelines.
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.
Nexer Group
5+ years of experienceas a Data Engineering (designing and maintaining data pipelines, data quality, reliability).
DraftKings Inc.
Build scalable, high-performance data infrastructure that transforms complex transactional and financial data into trusted datasets for regulatory reporting and business operations.
Architect, upgrade, design, and build scalable infrastructure solutions leveraging Kubernetes, AWS, RDS (MySQL/Postgres), and modern distributed patterns.
ENSEK · Developer
Lead and manage team of data engineers, across either core data products or finance assurance
Rush Street Interactive · Data Science
Maintain and enhance the Snowflake data platform and data pipelines, leveraging AI-assisted development tools to improve efficiency, reliability, and maintainability.
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
CenterWell Senior Primary Care
Bachelor's degree and 8+ years of technical experience in data engineering OR Master's degree and 4+ years of experience.
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.
Fortis Games · Developer
Design, implement, test, and tune detections across endpoint, identity, cloud, SaaS, network, and application telemetry.
Design and oversee the implementation of an Operational Data Store (ODS) to provide a unified, real-time view of production data.
Athos Commerce · Data Science
A highly collaborative team player who enjoys solving complex data problems • Passionate about building scalable and reliable systems
VirtusLab
Strong Python and production ML skills, with a proven track record of shipping models into real production pipelines.
Robots & Pencils · Data Science
Define data architecture and platform strategy, leading design across pipelines, warehouses, and data lakes
Design and maintain self-service tooling, templates, and scaffolding that allow engineers to provision and deploy serverless resources independently.
Exadel
Review available data sources, access patterns, interfaces, and integration options
Oddball · Data Science
Build and maintain data marts, materialized views, and data pipelines within an AWS Aurora PostgreSQL environment
Midnite · Data Science
Take ownership of end-to-end data engineering projects.
Honor · Data Science
Lead the architecture and development of scalable, secure, and cost-efficient data platforms on AWS.
DoiT International
System Ownership: Design, build, and deploy large-scale distributed systems and high-throughput data pipelines using Go and cloud-native technologies.
Lead the design and implementation of scalable ML systems, including supervised, unsupervised, and LLM-based solutions
Baseee · Developer
Tworzenie wydajnych i skalowalnych aplikacji webowych w React, React Router v7, TypeScript i Tailwind CSS.
AB InBev · Data Science
Knowledge of Azure cost drivers (AWS/GCP is a plus).- Ability to prioritize initiatives by ROI and business impact.- Strong problem-solving and execution in fast-paced environments.
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.
Kainos · Data Science
Working to develop data processing software primarily for deployment in Big Data technologies. The role encompasses the full software lifecycle including design, code, test and defect resolution.
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