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.
Lead a data engineering and analytics team to build scalable data infrastructure and AI-powered analytics for a robotics-based delivery startup, ensuring reliable, governed data products for cross-functional decision-making.
Build and maintain data pipelines that feed AI agents in a proptech startup, using Python, SQL, and cloud tools to clean and organize data for models and insights.
Lead the design and delivery of enterprise-grade data and modeling solutions for Finance, building scalable pipelines, forecasting engines, and semantic layers on cloud data platforms to support FP&A, regulatory reporting, and analytics.
Designs and builds scalable Snowflake-based data pipelines and warehouses using dbt, SQL, and AWS, ensuring high-performance analytics for clients.
Lead a small team to build and maintain data pipelines, integrate marketing platforms, and translate data into actionable insights for Zenni’s ecommerce growth.
Designs and builds scalable Snowflake-based data pipelines and architectures using Python, SQL, and cloud tools, optimizing performance and cost.
Build and maintain a governed lakehouse and semantic layer on Snowflake/dbt and Databricks, designing production pipelines and reusable data products that power analytics, AI, and customer-facing dashboards.
Build and own Flinks’ data and ML platform: BigQuery, dbt, Airflow, Pub/Sub, Kubeflow, Vertex AI, and FastAPI to turn models into production-grade services.
Owns internal PaaS and data platforms that power Sardine’s real-time fraud and AML risk engine, ensuring 99.99% availability, optimizing GCP costs, and enabling AI/ML pipelines.
Lead a team of data engineers to design, build, and optimize scalable data pipelines and warehouses that power analytics and decision-making for a wealth-management firm.
Senior Data Engineer builds scalable pipelines and models to turn connected-vehicle telemetry into insights that guide product and engineering decisions using Python, SQL, and GCP.
Build and scale a data platform from the ground up, designing pipelines, models, and orchestration to enable reliable analytics and decision-making across the company.
Builds and maintains data pipelines and analytics-ready datasets in Snowflake and Power BI for large capital-infrastructure programs, using Azure Data Factory to ingest and transform messy data from ERP, PMIS, and external sources.
Build and maintain scalable data pipelines and infrastructure to support analytics, reporting, and AI initiatives for Teladoc Health Canada’s virtual care platform.
Lead a team of data engineers to build and maintain scalable data pipelines and warehouses using SQL, Python, Snowflake, and DBT for a fast-growing Canadian dental healthcare network.
Designs and maintains data infrastructure, ETL pipelines, and cloud-based warehouses to support analytics and reporting for a construction/infrastructure-focused company.
Build and own the real-time data pipelines and infrastructure that feed AI models for a biotech platform, integrating customer systems and ensuring clean, reliable data at scale.
Build and optimize scalable data pipelines and lakehouse solutions using Databricks, Apache Spark, and Delta Lake, integrating with downstream systems for real-time and batch data consumption.
Build and scale high-throughput data pipelines and infrastructure for Lime’s global micromobility fleet, enabling analytics, ML models, and real-time business intelligence using Python, SQL, Spark, and cloud tools.
Designs and maintains data pipelines and infrastructure to ingest, transform, and validate healthcare data for analytics and AI initiatives, using tools like Talend, Python, and Power BI.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
