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 ETL pipelines and cloud data infrastructure for a large Canadian retailer with financial services, ensuring data quality for analytics and reporting.
Build and maintain DevOps infrastructure and CI/CD pipelines for a global chemical company, using Python, Kubernetes, Docker, and Azure to support data-driven projects.
Build and maintain ETL pipelines and cloud data infrastructure for large-scale datasets, collaborating with analysts and scientists to ensure data quality and availability.
Build and scale data pipelines and platforms for a regulated AI fintech, using Spark, Snowflake, Kafka, Airflow, and Kubernetes to power analytics and product use cases.
Designs and builds scalable data pipelines and ETL processes using AWS, Snowflake, Spark, and Python/Scala for a large enterprise.
Build and maintain scalable data pipelines and cloud-native platforms to power AI and analytics for investment banking and global markets using Spark, Kafka, and cloud services.
Design and build scalable data pipelines, warehouses, and lakes for a telecom retail software provider, integrating diverse data sources and enabling analytics.
Builds scalable regulatory reporting software in Java/Spring/Kafka/Singlestore, processing millions of financial transactions daily for global compliance.
Build and scale ZoomInfo’s data platform, designing pipelines and storage layers that power AI/ML training, real-time products, and analytics for GTM intelligence.
Build and ship AI-powered features (LLM agents, RAG, predictive ops) for a cloud-based network management platform using Go/TypeScript, collaborating with data engineers and product teams.
Design and build scalable data pipelines and architectures for EA Sports FC, using Python, Spark, Kafka, and AWS to deliver analytics and AI-driven insights.
Senior Data Engineer at Apple builds and maintains data pipelines and products for the App Store using Java/Scala, SQL, Kafka, and Airflow to drive marketplace insights.
Builds low-latency electronic trading systems in Java, using Spring, multithreading, and GC tuning to support global e-commerce platforms for a fintech firm.
Lead the design and maintenance of Databricks-based ETL pipelines and data models for a fintech platform, transforming raw financial data into insights for investors and AI workloads.
Build and maintain large-scale data pipelines and products for the App Store, processing petabytes daily to generate insights while ensuring privacy and correctness.
Senior Data Engineer builds and optimizes Azure-based data pipelines for analytics, mentors teams, and designs scalable solutions to meet business needs in a large financial services company.
Build and maintain scalable data pipelines and warehouses for Frostbite’s quality-engineering telemetry, enabling ML and engineering teams to analyze game-creation data efficiently.
Build and optimize real-time and batch data pipelines for a fintech platform handling billions of events daily, using Spark, Kafka, and streaming frameworks to power fraud detection and AI products.
Build and optimize Azure-based data pipelines, warehouses, and analytics for Global Wealth and Asset Management using Databricks, Synapse, and Power BI.
Principal Data Engineer builds and scales Azure-based data pipelines, lakes, and analytics platforms using Databricks, PySpark, and Azure services to deliver governed data solutions for clients.
We couldn't check your fit for this role — add a CV to your profile to see it next time.