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.
Leads Michels Corporation’s enterprise data strategy, defining and prioritizing data products to enable self-service analytics, reporting, and AI across the organization’s operations. Focuses on cloud-based data platforms and governance to drive business decisions.
Leads a new data engineering team to build Michels’ enterprise data platform, designing pipelines and governance to deliver trusted, AI-ready data products for analytics and operational insights.
Build and scale a global data platform to power Delivery Hero’s incentive strategies across 70+ countries using GCP, BigQuery, Python, and real-time data pipelines.
Senior Data Engineer on the GIS team at PedidosYa (Delivery Hero), building and scaling data solutions and incentive platforms for millions of users using Airflow, GCP, BigQuery, and Python.
The Senior Data Platform Engineer will design and build governed data sharing infrastructure, including CDC pipelines and cataloging tools, to support Smartly's product, analytics, and AI/ML teams. The role focuses on creating reliable, contract-driven data publishing paths using technologies like Kafka, PostgreSQL, and Kubernetes.
Data Analyst builds and maintains BigQuery datasets and Python pipelines to automate inventory, demand, and forecasting analytics for an e-commerce company.
Fingerprint is looking for a backend engineer to build and scale high-performance APIs and real-time data processing systems for fraud detection. The role requires strong expertise in Go and Node.js and involves working in a fully remote, globally distributed team.
Build and optimize multi-agent conversational AI systems using Google’s GECX Code Agents, Python/TypeScript tooling, and Dialogflow CX for customer-facing workflows.
This role is for a Senior Backend Engineer with an SRE focus to build and maintain high-performance fraud detection APIs. You will work in a 100% remote environment using Go and Node.js to design scalable systems, manage production reliability, and participate in on-call rotations.
Build and improve ML models for personalized recommendations and ad targeting at a Korean local-commerce platform, using deep learning and LLM techniques.
Design, deploy, and optimize customer-facing agentic workflows using Google's GECX platform, CX Agent Studio, and Code Agents, writing custom Python/TypeScript tool callbacks and leveraging CLI-based developer workflows to build multi-agent architectures for digital customer experience.
Solutions Engineer at a DataOps startup, owning the technical win in sales cycles—leading demos, running POCs, mapping architectures with the Modern Data Stack—and providing hands-on technical onboarding and front-line support post-sale.
Design and implement Agentic AI solutions, build data pipelines for RAG systems, and develop LLM-based applications using frameworks like LangGraph/LangChain for Thales Group's defense-sector R&D projects.
Senior Data Engineer focused on data cleansing, quality, validation, and migration across source and target systems using SQL, SAP data handling, and GCP BigQuery.
The Cloud DevOps Developer maintains and supports internal NetSuite-integrated products, focusing on system operations, troubleshooting, and feature development. The role utilizes a stack including Google Cloud, BigQuery, Terraform, and Docker to ensure product reliability and data integrity.
ABOUT US Insomnia Cookies was founded in a college dorm room by then-student Seth Berkowitz. Fast forward 20+ years and so... many... cookies... later, our innovative bakery + delivery concept has become a cult brand…
Data Engineer building and maintaining data pipelines, datalake ingestion, and layered data models for a Brazilian fintech financial management platform. Core tech: SQL/BigQuery, Python (Airflow/Dataflow), and cloud providers (GCP/Azure/AWS).
Design, build, and operate a cloud-based data platform across AWS and GCP in a fintech setting, collaborating with data teams using Python, SQL, BigQuery, and Terraform.
Designs and implements cloud-based data governance on GCP, building metadata, data catalog, quality, lineage, and secure access for a modern data platform.
Design and implement data governance processes on GCP—including data catalog development, metadata management, data lineage, and data quality frameworks—as part of migrating analytical environments to Google Cloud for a digital services organization.
We couldn't check your fit for this role — add a CV to your profile to see it next time.