Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Builds and maintains web apps using .NET backend and Vue.js frontend for clients in a remote-first digital agency.
Build responsive React-based UIs for data products and banking dashboards, collaborating with designers and back-end teams to deliver intuitive, scalable interfaces.
Builds and maintains full-stack web and mobile apps using PHP, MySQL, and JavaScript frameworks like Angular, React, or Vue.
Build a secure, scalable cloud platform end-to-end: React/Vue UIs, C# or Go backends, relational and NoSQL databases, and CIAM identity flows on AWS/GCP/Azure.
Builds and optimizes mobile-first web pages using Laravel, Vue.js, and TailwindCSS, ensuring performance, scalability, and responsive design.
Freelance role building interactive web apps and Python tools for AI-powered applications using JavaScript/TypeScript, React/Next.js or Vue, and Python/Node backends with PostgreSQL.
Build and maintain a remote rehab platform for cardiac/pulmonary patients, using full-stack web dev and AI workflows to improve patient and clinician experience.
Build and maintain web and mobile apps using React.js/Vue.js/Angular for frontend and Node.js/NestJS for backend, with Kubernetes deployments and NoSQL databases.
Builds and maintains full-stack web and mobile apps using Node.js, React/Angular/Vue, MySQL, and Docker for US-based clients.
Build end-to-end data pipelines and cloud-native analytics platforms for finance and consulting clients, using AWS/Azure/GCP, Python, Spark, and MLOps tooling.
Consultant Data Engineer builds and deploys secure, FinOps-optimized data pipelines on Microsoft Fabric and Azure for clients, designs scalable solutions, and trains teams on best practices.
Build and deploy secure, scalable data pipelines on Microsoft Fabric and Azure for clients in finance, AI, and devtools, while mentoring teams and driving FinOps best practices.
Build end-to-end data pipelines and cloud-native ETL systems for clients, using serverless functions, DevOps, and MLOps to extract, transform, and serve data via data lakes, warehouses, and APIs.
Senior Data Engineer builds and runs AWS-based data pipelines, mentors junior engineers, and advises clients on scalable data platforms using Python, Spark, and Airflow.
Build and maintain end-to-end data pipelines and modern data stacks for clients, using cloud DWHs (BigQuery/Snowflake), orchestration (Airflow, dbt), and SQL/Python to deliver reliable, analytics-ready data and BI solutions.
Build and maintain cloud-based data platforms (datalakes, ETL pipelines) for enterprise clients, using AWS/GCP/Azure, Python, Airflow, and DevOps tools.
Build and optimize data pipelines on AWS for clients, focusing on automation, Spark, and CI/CD to enable scalable analytics and business insights.
Build and maintain ETL/ELT pipelines to ingest and transform game-player data, ensuring quality and reliability for Ubisoft’s titles like Assassin’s Creed and Rainbow Six.
Build and maintain scalable data pipelines using Talend and Google Cloud Platform (BigQuery, Dataflow, etc.) to deliver reliable data solutions for client projects.
Build and automate an end-to-end data pipeline for a new startup, cleaning, transforming, and preparing data for production using Python, SQL, and modern tooling.
We couldn't check your fit for this role — add a CV to your profile to see it next time.