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 scalable data pipelines and cloud-based analytics platforms to support business reporting and decision-making using Python, SQL, and PySpark.
Designs and maintains scalable data pipelines and models using Palantir Foundry, SQL, Python, and PySpark to support analytics and reporting for government and enterprise clients.
Builds AI-native drug-discovery software: data pipelines, APIs, MLOps, and lab-automation integrations that power scientists and autonomous agents.
Senior Data Engineer builds and scales high-performance data pipelines and semantic models for a growing enterprise platform, using modern cloud warehouses, dbt, and distributed systems.
Builds and maintains Hermès' new US cloud data platform by designing data pipelines, modeling datamarts, and ensuring data quality and traceability using Snowflake, dbt, and GitLab CI/CD.
Lead the design and modernization of enterprise data platforms at Barclays, building scalable solutions with Ab Initio, Hadoop, and AWS while migrating on-premise workloads to the cloud.
Designs and builds scalable data pipelines and warehouses on Azure using Python, PySpark, and Databricks to support automotive software platforms.
Designs and builds autonomous AI-driven data systems using LLMs, agent frameworks, and AWS services to power scalable, self-orchestrating pipelines and decision-making applications.
Design and implement enterprise-scale AWS data platforms, including data lakes and warehouses, using modern analytics and AI tools to drive digital transformation for large clients.
Lead end-to-end delivery of data engineering, AI/ML, and GenAI projects, coordinating engineers and data scientists to deploy scalable solutions while managing timelines, risks, and stakeholder communication.
Lead cloud architect designing, modernizing, and operating enterprise AWS/Azure platforms, focusing on IaC, security, and large-scale modernization.
Lead a team to build and deploy scalable ML models and analytics pipelines in AWS for media and entertainment use cases like audience analysis, content performance, and marketing optimization.
Build and maintain AWS-based data pipelines and infrastructure for Amazon’s satellite broadband network, enabling global demand forecasting and capacity planning.
Operate and maintain Dataiku and Databricks environments for the American Red Cross, moving AI/ML projects from development to production and ensuring pipeline health.
Principal Data Architect designs and leads enterprise-scale cloud data platforms (Databricks, AWS, Azure) to enable AI, analytics, and healthcare data solutions at a global medical technology company.
Working with Us Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens…
Designs and advises on enterprise-scale data and AI architectures for Salesforce customers, focusing on Data Cloud, Agentforce, and trusted AI systems.
Senior Data Engineer designs and builds Novanta’s governed data transformation layer in Snowflake, migrating legacy systems into dbt models and defining conformed dimensions across a multi-ERP environment to support reporting, AI/ML, and agentic applications.
Who We Are: At OPENLANE we make wholesale easy so our customers can be more successful. We’re a technology company building the world’s most advanced—and uncomplicated—digital marketplace for used vehicles. We’re a…
Principal Engineer designs and leads enterprise-scale data platforms and analytics solutions, modernizing legacy systems into cloud-native, governed data architectures while mentoring teams.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
