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.
Build and maintain Affirm’s scalable batch-infrastructure platform to run ML, financial, and product workloads reliably on AWS, Kubernetes, and workflow orchestrators like Airflow.
Build and scale backend services for Pinterest’s core platform, leveraging AI to prototype, test, and deploy features that serve millions of users globally.
Build and maintain scalable data pipelines for Helfie.ai’s AI-powered preventative healthcare platform, transforming raw health data into real-time insights and analytics.
Builds the core conversational analytics platform for education, designing full-stack features that let non-technical users query data with natural language and AI-driven text-to-SQL.
Build and optimize ETL/ELT pipelines using Teradata, Informatica, and Spark to load and transform enterprise data for warehouses and MDM systems.
Build and optimize distributed data pipelines using Scala/Java/Python, Spark, Kafka, and Delta Lake/Iceberg, then deploy them on GKE with Helm for AI-driven networking analytics.
Builds and optimizes large-scale data pipelines and storage systems for TikTok’s recommendation engine using Java, Spark, Flink, and Kafka.
Build and optimize large-scale recommendation system architectures using big data tools like Spark and Flink to process and analyze user data for TikTok’s AI-driven content feeds.
Build and maintain analytics-ready data marts and pipelines for a crypto exchange, using SQL, Spark, and cloud tools to power business decisions and product improvements.
Build and maintain data pipelines and BI tools for TikTok’s ad monetization, using Hadoop/Spark and SQL to support analytics and dashboards.
Builds and optimizes data pipelines and real-time systems for a major bank using Java, Spark, Python, and Hadoop ecosystem tools to support AI-driven analytics and risk scoring.
Build and optimize real-time on-chain analytics pipelines using Hadoop, Spark, and Flink to process and analyze blockchain data for OKX’s crypto exchange.
Designs and builds scalable data pipelines and data marts using SQL, Spark, and Flink to support analytics and evidence-based decision-making.
Build and optimize scalable data pipelines and real-time systems for a major bank using Java, Spark, Python, and the Hadoop ecosystem to support AI-driven analytics and risk scoring.
Design real-time and offline data architectures for TikTok’s Lakehouse systems, optimizing data lakes and enabling scalable ML training/inference with Flink, Paimon, Iceberg, Delta Lake, and Hudi.
Build and maintain Feedzai’s data orchestration platform, integrating diverse data sources and enabling real-time fraud detection for banks and retailers using Java, Kafka, and cloud-native services.
Build and optimize a global payment data warehouse, pipelines, and AI apps (LLM agents, RAG, analytics) for ByteDance’s fintech business.
Build and optimize data pipelines and real-time systems for a bank using Java, Spark, Python, and Hadoop ecosystem tools to support AI-driven analytics and risk scoring.
Build and govern data pipelines and products for a trading firm, integrating vendor datasets and ensuring reliability for traders and researchers using SQL, Python/Java, and modern data tech.
Builds and optimizes Shopee’s e-commerce data warehouse and real-time analytics systems using big data tools (Spark, Flink, Kafka) and SQL, while exploring AI-driven data solutions.
We couldn't check your fit for this role — add a CV to your profile to see it next time.