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 Azure-based data pipelines, dashboards, and reports for PING Europe’s cloud ERP/CRM systems, turning business questions into trusted insights.
Build and maintain scalable data pipelines and AI-ready datasets for analytics and agentic systems using cloud platforms like AWS/Azure/GCP and tools such as Databricks and Snowflake.
Build and maintain scalable data pipelines and platforms using Python, SQL, and Databricks to consolidate enterprise data for analytics and reporting.
Build and maintain Python-based APIs and data infrastructure that power energy-market analytics and an LLM-driven AI Analyst, using AWS, Terraform, and streaming systems.
Design and build scalable data platforms, including databases, ETL/ELT pipelines, and data warehouses, to support analytics and BI for large-scale services.
Senior Solution Engineer at Snowflake designs and demonstrates data platforms, builds AI-powered demos, and guides enterprises on Snowflake’s Data Cloud for analytics and AI applications.
Lead the architecture and engineering of a modern, cloud-native data platform for State Street’s investment management business, using Python, Spark, Snowflake/Databricks, and Apache Iceberg to build scalable analytics and governance capabilities.
Build and maintain scalable ETL pipelines and data warehouses using Python, PySpark, and SQL to process structured, semi-structured, and unstructured data for analytics and reporting.
Design and govern enterprise-scale AI-ready data platforms using Azure Databricks, Snowflake, and Delta Lake to enable analytics, GenAI, and ML workloads.
Build and optimize cloud data pipelines and lakehouse solutions using Microsoft Azure and Fabric to enable scalable analytics and AI for enterprise clients.
Designs and governs enterprise-scale data platforms using Azure Databricks, Snowflake, and Lakehouse architecture to enable AI, analytics, and GenAI workloads.
Principal Data Engineer designs and scales GoTo’s Databricks Lakehouse (Unity Catalog, Delta Lake, Spark), sets data-pipeline standards, and leads AI-ready infrastructure and migrations.
Lead the design and operation of Workiva’s enterprise data platform, setting Snowflake standards, RBAC, and AI/ML integration patterns while guiding teams on dbt Mesh and agentic data workflows.
Build and maintain scalable data pipelines in Azure (Databricks, ADF) using Scala, Python, and SQL; design enterprise data warehouses and optimize ETL/ELT workflows for insurance and healthcare analytics.
Design and modernise a cloud-based data platform for a large online gambling operator, focusing on lakehouse architectures, Spark pipelines, and AI-driven personalisation while ensuring regulatory compliance.
Leads large-scale aerospace and defense programs, integrating satellite payloads, ground systems, and mission operations while managing cross-functional teams and customer relationships for on-orbit capabilities.
Lead a team building cloud-native, multi-cloud data platforms for GM’s connected services, marketing, and AI products using Databricks, Spark, and real-time streaming.
Designs and leads the architecture of a scalable enterprise data platform, including ingestion, storage, processing, governance, and consumption layers using modern cloud data tools.
Design and build scalable data pipelines and cloud analytics platforms using Python, SQL, Spark, and AWS/Azure for mission-critical government data solutions.
Leads the enterprise AI platform architecture at a pharmaceutical company, defining standards for RAG pipelines, agentic AI, FinOps, and security while ensuring compliance with regulated environments.
We couldn't check your fit for this role — add a CV to your profile to see it next time.