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.
Designs and maintains AI-augmented data extraction pipelines using Pydantic, Scrapy, and LLM agents to autonomously scrape and validate structured data from websites while ensuring compliance and reusability.
Builds and optimizes GCP-based data pipelines using BigQuery, Cloud Functions, and Airflow to process large datasets and integrate APIs for analytics and reporting.
Build and optimize data pipelines on GCP, focusing on BigQuery performance, serverless data flows, and data governance while using Python, SQL, and DevOps practices.
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.
Designs and maintains SAP Datasphere’s cloud-native data platform, migrating legacy SAP BW/4HANA systems and integrating with Snowflake and SAP Analytics Cloud.
Design and run Roche’s SAP Datasphere platform, migrating legacy SAP BW/4HANA systems to cloud-native BDC while enforcing security, compliance, and CI/CD for data products.
Builds and optimizes ad-tech and AI-driven data products, analyzing large datasets to improve targeting and business decisions using Python, SQL, and visualization tools.
Build and scale ad-tech data infrastructure that processes billions of events daily, transforming raw ad server and SSP/DSP data into real-time analytics for campaign optimization and business intelligence.
Principal Data Engineer designs and builds scalable cloud data pipelines using Snowflake, Databricks, and AWS, while integrating AI agents for automated data quality and transformation workflows.
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.
Principal Data Engineer builds and scales the data platform at JobGet, a mobile-first hiring platform, using Snowflake, dbt, Kafka, and real-time streaming to power AI-driven job matching and analytics.
Build and migrate Java-based data pipelines to cloud platforms like Databricks and Snowflake, modernizing legacy ETL systems for enterprise clients.
Build and maintain cloud and on-prem CI/CD pipelines, Kubernetes clusters, and automation for Cerebras’s AI hardware stack, using Python, Docker, and AWS.
Build and maintain high-performance Java applications using Spring for investment-banking systems, focusing on low-latency trading platforms and risk tools.
Builds and maintains systems that embed privacy-by-design into a ride-hailing platform, including data redaction pipelines and user-facing privacy controls.
Plan and execute personal data and privacy compliance programs, including policies, processes, controls, and audit preparation. Provide privacy and compliance advice, conduct privacy impact assessments, maintain…
Wiliot was founded by the team that invented one of the technologies at the heart of 5G. Their next vision was to develop an IoT sticker, a computing element that can power itself by harvesting radio frequency energy,…
Office Associate Who are we: For more than 50 years, SSA has partnered with cultural attractions to design the hospitality experience journey, freeing our partners to remain mission-focused. We bring together…
Owns ad monetization for mobile puzzle/brain-teaser games, integrating SDKs, optimizing ad delivery, and analyzing revenue metrics like eCPM and fill rate.
Build and optimize large-scale data pipelines and distributed systems using Spark, Databricks, and AWS to power AI-driven B2B intelligence products.
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