Revisa oportunidades remotas de Python y confirma ubicaciones aceptadas antes de aplicar.
This page focuses on remote roles with visible candidate-location eligibility. That keeps the search practical for developers, engineers, DevOps, data, QA, support, and IT professionals.
Use the Python filter to compare matching roles by stack, seniority, accepted countries, and application readiness before opening the full role page.
Empieza con una palabra clave y luego filtra por stack o ubicación.
Leap Tools · Engineering
Design, build, and optimize high-volume, high-performance ELT pipelines for a centralized data warehouse
Msci · Engineering
Build and maintain scalable, distributed, fault-tolerant data pipelines on GCP, including BigQuery-based lakehouse layers and Dataproc-driven Delta Lake workflows
Msci · Engineering
Build and maintain scalable, distributed, fault-tolerant data pipelines on GCP
Consensys · Corporate
Over 6 years of experience as a Data Engineer
LiveKit · R&D
obsess with crafting code that is fast, reliable and practical for the problem
Grafana Labs · Marketing
Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation
Grafana Labs · Sales Operations
Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation
Grafana Labs · Sales Operations
Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation
Grafana Labs · Sales Operations
Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation
Grafana Labs · Marketing
Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation
Datadog · Dev Eng
Design, build, and operate core components of our lakehouse platform, including Apache Iceberg table management (data compaction, data layout optimization, materialized view scheduling…) and Iceberg catalog
Datadog · Community
Act as a subject matter expert for data observability on behalf of the Datadog advocacy and engineering teams
Canonical · Field Engineering
Work across the entire Linux stack, from kernel, networking, storage, to applications,
1Password · Technology
You have a passion for designing, implementing, and operating stable, scalable, and efficient data systems
Deepgram · G&A
AI-Augmented Intelligence: In close partnership with functional leaders, architect and deploy agent-assisted intelligence systems that move beyond static dashboards. Build workflows that proactively reason across silos (e.g.
Prefect · Go To Market
Develop a clear, technical understanding of Prefect's platform — including durable execution, AI agent orchestration, MCP, and the broader ecosystem of competing solutions
Deepgram · Engineering
Semantic Layer Architecture: Build and maintain high-fidelity dbt and SQL models that serve as the "ground truth" for our complex, usage-based revenue models.
Perplexity · AI
Build the systems and pipelines that enable Search, Product, and other teams to independently access and utilize reliable eval verdicts without bottlenecks
Rescale · G&A
Automation & AI: Extend existing automated workflows using Python + SQL and AI tools (Cursor, Claude Code, LangChain/LangGraph, etc.); assist in building scalable digital-first finance processes.
Pinecone · R&D
Design and build scalable platform components leveraging advanced retrieval via query planning, semantic and hybrid search, metadata-aware search, and LLM generation
Prefect · Product
Develop and execute comprehensive event strategies across all Prefect products, including program mix, calendar planning, and audience targeting
Confluent · Business Technology
Design for Action: Build AI integrations that do more than just summarize text. Design systems that can securely read from and write back to our core platforms (e.g.
Canonical · Commercial Systems
Accountability for the design and development of an internal product