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 trusted data models and pipelines for energy markets using dbt, Airflow, ClickHouse and Omni to power commercial, financial, risk and operational decisions.
Build and maintain a production platform that collects, processes, and enriches social media content using Python, ETL pipelines, and LLM APIs for classification and summarization.
Act as a technical advisor during pre-sales, designing AI/LLM and modern data platform solutions for enterprises, and guiding clients from discovery to implementation.
Design and build high-performance RESTful APIs and data pipelines for a U.S. consumer-insights provider, using Python, Snowflake, AWS, and data-clean-room tech.
Build and deploy ML models and data pipelines using Python, Spark, and Airflow, integrating classic ML with LLMs for anomaly detection in production systems.
Build and maintain Bolt’s data platform, enabling teams to create reliable, self-service data products using Python, dbt, Databricks, Airflow, and Kubernetes at petabyte scale.
Build and maintain a scalable cloud data platform using AWS, Terraform and Airflow to power analytics and AI-driven products.
Build and maintain the data platform that ensures reliable, accessible data for business decisions using Python, dbt, Databricks, Airflow, and Kubernetes.
Build and scale data pipelines and products that power AI-driven job search and ML models using Kafka, Java, and AWS services.
Senior Software Engineer builds high-performance data pipelines and products in Java/Kafka to power AI-driven job search and ML models across Stepstone’s global hiring platforms.
Build and maintain ML pipelines using Airflow, MLflow, and GCP; migrate on-premise systems to cloud-native environments and ensure scalable, reliable data workflows.
Build and maintain data models, quality checks, and metrics in a lakehouse using dbt, Python/pandas, and Airflow to deliver clean datasets for analytics and reporting.
Build and maintain scalable data infrastructure (AWS, Kafka, Spark, Airflow) to power analytics and AI-driven hiring products at a global job-tech platform.
Senior engineer building and maintaining GCP data infrastructure with Terraform, Airflow/Cloud Composer, and dbt for data pipelines and modeling in a media company.
Build and scale high-performance data pipelines and products in Kafka to power AI-driven job search and ML models for a global HR-tech platform.
Build and maintain scalable data platforms on AWS using Kafka, Spark, Airflow and Iceberg to power analytics and AI products.
Builds and maintains scalable data pipelines and warehouses using Snowflake, AWS, dbt, and Airflow to support analytics and AI initiatives.
Build and lead a multitenant data platform in AWS and Databricks, owning ingestion, storage, and access layers for internal and external data sources using Python, PySpark, and modern data tools.
Senior Data Analytics Engineer builds and maintains a centralized data warehouse and scalable pipelines in BigQuery, reconciling financial sources and ensuring audit-ready data for stakeholders.
Build and maintain data pipelines and a BigQuery-based data warehouse for a global ride-hailing platform, reconciling financial data from multiple providers.
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