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, builds, and maintains scalable data pipelines, lakehouse architectures, and transformations using PySpark, SQL, and cloud/data tools to power enterprise analytics.
Data Engineer focused on Adobe Experience Platform, designing and building scalable data pipelines, XDM schemas, identity resolution, and customer segmentation for enterprise marketing solutions using SQL, Python, dbt, and cloud data warehouses.
Builds and scales production ML systems for Warner Bros. Discovery’s media brands, focusing on identity resolution, audience intelligence, and content affinity. Owns end-to-end ML pipelines, feature stores, and agentic AI workflows on Databricks/Snowflake/AWS to drive advertising yield, personalization, and engagement.
Cargill is a family company committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. We sit at the heart of the supply chain, partnering with producers…
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just…
Designs and leads LinkedIn’s enterprise people analytics platform architecture, ensuring scalable, AI-ready data foundations for trusted analytics, reporting, and AI-driven insights across the workforce ecosystem.
Leads a global data platform team to build and scale enterprise-grade services for Addepar’s AI-driven financial data platform, focusing on lakehouse architecture, cloud infrastructure, and AI integration.
Design, build, and maintain scalable big data processing pipelines using Apache Spark, Databricks, and cloud platforms for an IRS project requiring MBI clearance and GFE.
Build and maintain Nomeco’s data pipelines, warehouse, and AI-ready data foundation using Azure tools, ensuring high-quality data for reporting, analytics, and predictive/generative AI solutions in healthcare logistics.
Builds and maintains data-driven solutions using Azure Databricks, PySpark, and SQL to enable business insights and decision-making for Arla Foods' innovation and consumer intelligence teams.
Designs and maintains scalable data pipelines and Lakehouse environments to support business intelligence and advanced analytics for a Fortune 1000 client.
Own web architecture and build the data platform on Microsoft Fabric using Spark, Python, and SQL at a gene therapy company, while guiding external web agencies and handling internal system integrations.
Senior Data Engineer developing and managing data platforms in Azure and Microsoft Fabric, working on datahub concepts like OneLake and Lakehouse architectures with SQL, PySpark, and Power BI, building ETL/ELT processes, advising on data architecture, and creating secure scalable solutions in a DevOps team.
Senior data engineer developing a modern dataplatform and AI environment, building scalable data solutions in Azure/Microsoft Fabric, managing data pipelines for batch/streaming and supporting AI applications.
Builds and maintains production-grade ETL/ELT pipelines, lakehouse architectures, and DevOps automation for enterprise clients in aviation, banking, and retail using Python, PySpark, SQL, and cloud platforms.
Design and build enterprise-scale Azure data platforms, data warehouses, and ETL/ML solutions using Databricks, Delta Lake, and Data Lakehouse architectures, covering infrastructure, governance, security, and CI/CD.
Builds and maintains a Snowflake-based data lakehouse, designing ETL/ELT pipelines, dbt models, and governance frameworks to unify trading, CRM, finance, and risk data for operational and regulatory reporting across a fintech firm.
Designs and builds scalable data pipelines and cloud data platforms to process high-volume financial transactions using Python, Spark, and AWS.
Designs and implements a Databricks-based data and AI platform, enabling LLM-powered analytics, RAG, and agentic AI workflows for governed data products and semantic layers.
We are seeking a visionary Director, Data Engineering to architect the "data set of the future." This role is not just about reporting; it is about building the scalable, AI-ready infrastructure that will fuel…
We couldn't check your fit for this role — add a CV to your profile to see it next time.