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 evolves Azure Storage’s control plane to support AI-scale workloads, designing distributed systems that provision, manage, and secure exabytes of data for AI agents and cloud services.
Design and build AI-powered contact-center flows in Amazon Connect, integrating Lex NLU, Contact Lens analytics, and agent-assist tools like Amazon Q for real-time customer service.
Senior DWH/BI analyst building and maintaining data warehouses, ETL pipelines, and BI dashboards to power corporate analytics and decision-making.
Lead a team of data engineers to build pipelines, data lakes, and AI-driven analytics for semiconductor manufacturing, focusing on ASML EUV machine data and agentic applications.
Lead a team building scalable data pipelines, cloud platforms, and AI-enabled solutions for a fintech payments business using Azure, Kafka, Spark, and Python.
Lead a team building scalable data pipelines and platforms to power AI-driven operations, ensuring data quality and security for Mastercard’s global payments infrastructure.
Lead the architecture and modernization of Mastercard’s global Rewards Data Platform, designing scalable distributed data pipelines and cloud-native solutions to process millions of transactions daily.
Build and maintain Decagon’s GTM data infrastructure in BigQuery, transforming raw CRM and sales-tool data into clean, trusted tables for pipeline, forecasting, and reporting.
Designs and builds Azure Databricks-based data pipelines and governance for a multi-clinic healthcare provider, enabling HIPAA-compliant analytics and AI insights across clinical, financial, and operational domains.
Lead data analysis for a large European online automotive marketplace, integrating marketing data from acquisitions, building dashboards, and optimizing ad spend across Google, Meta, and other platforms.
Leads cloud and AI modernization for federal agencies, designing HPC and AI-ready platforms while advising senior leadership on FedRAMP-compliant cloud transformations.
Build predictive models and ETL pipelines for marketing analytics, using Python, SQL, and cloud tools to deliver client insights and segmentation.
Build and deploy generative AI applications using LLMs and multimodal models, integrating them into client systems via APIs and optimizing outputs with prompt engineering and RAG.
Build and optimize LookML models, dashboards, and SQL queries in Looker, integrating with GCP services to deliver analytics solutions for enterprise clients.
Leads complex data projects and oversees the Data department, coordinating engineering, BI, and analytics teams while aligning with business goals and cloud/AI strategies.
Leads end-to-end data & analytics projects, coordinating technical and business teams, managing budgets, and ensuring delivery of ETL, BI, and data-lake solutions.
Leads the design and implementation of scalable, secure data platforms for an insurance client, using Azure tools and Medallion Architecture while overseeing team development and governance.
Lead a machine-learning system that recommends the right Wise product to the right customer at the right moment, owning end-to-end pipelines, models, and A/B tests to drive CRM growth.
Designs and maintains scalable data pipelines using Airflow, AWS Athena, dbt, and Terraform to support iGaming analytics and reporting.
Design and build scalable Azure data pipelines and Microsoft Fabric analytics solutions using PySpark, SQL, and lakehouse architecture to transform raw data into business insights.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
