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Senior Data Engineer building and scaling the data platform that powers healthcare decision-making, owning pipelines, architecture, and mentoring peers in a remote-friendly role.
Designs and maintains data models and pipelines on AWS to support corporate apps and AI solutions, ensuring data quality and accessibility for analytics.
Build and maintain scalable data pipelines and a self-service data platform using Python, SQL, Snowflake, and Airflow to deliver trusted data products for analytics teams.
Designs, builds, and maintains data pipelines and architectures (Data Lakes/Warehouses) using Python, SQL, and cloud platforms (Azure/AWS) to deliver clean, analysis-ready datasets for decision-makers.
Builds and maintains web apps using Python/Django, HTML/CSS, and JavaScript in a 30-hour remote role.
Junior full-stack developer building async data pipelines and AI models for a hospital pharmacy system in Córdoba, Spain.
Build and scale cloud and on-prem infrastructure for a high-growth fintech, using IaC, CI/CD, Kubernetes, and multi-cloud failover to keep services reliable and secure.
iGaming / Sportsbook / Online Casino | Senior Java Backend | Kafka or Rabbit MQ | Hybrid in Madrid. Ideally with experience in payments, iGaming/Gambling or FinTech (integrations and payments gateways) My client in the…
Staff Software Engineer modernizes real-time news systems and content platforms using AWS, Kafka, GenAI, and microservices in a service mesh, while leading Agile teams to deliver scalable, secure backend solutions.
Build and deploy enterprise AI systems, including agentic workflows and LLM integrations, using AWS, Palantir Foundry, and Snowflake to deliver scalable data insights.
Senior Solutions Engineer advising Databricks customers on architecture and implementation of the Data Intelligence Platform, focusing on Digital Native accounts.
Build ELT pipelines and data models to power dashboards and insights for a fast-growing hybrid payments startup in Barcelona.
Builds and maintains scalable data pipelines and AI platforms using Snowflake, Palantir Foundry, and PySpark to power analytics for functions like HR and procurement.
Lead a team building and operating cloud-native data platforms on AWS to power AI/ML and analytics, using Python/Node.js, CI/CD, and IaC while ensuring security and cost efficiency.
Lead the end-to-end data platform for a global DTC brand, building scalable pipelines and AI-driven workflows to power revenue decisions from high-volume consumer data.
Architect and build cloud-agnostic data platforms using Databricks, designing scalable pipelines and optimizing performance across AWS, Azure, and GCP for enterprise clients.
Designs and optimizes scalable data pipelines using PySpark and Python, ensuring data quality and traceability for a data-driven product team.
Designs data models and pipelines in AWS to power AI agents and analytics for enterprise clients in a hybrid role.
Designs and optimizes data pipelines, ETL processes, and REST APIs to support research data management and analytics at a public university.
Data engineer focused on migrating life-sciences datasets; writes Python/SQL scripts, builds ETL pipelines, and documents workflows in Azure DevOps and Jira.
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