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 builds scalable data infrastructure for a manufacturing company, focusing on ETL pipelines, data lakes, and analytics to support operations and future AI/ML workloads.
Designs and builds backend infrastructure, dynamic pricing systems, and data pipelines for an ecommerce platform, ensuring scalability, observability, and high availability while collaborating with data science teams.
Senior Data Engineer designing, developing, and industrializing data pipelines and platforms (data lake, lakehouse, data warehouse) using SQL, Python, Spark, Databricks, and cloud services for an IT consulting firm in Lyon.
The Data Platform Engineer will design, build, and maintain a central data platform to support analytics and AI/ML initiatives. The role involves developing scalable data pipelines and collaborating with stakeholders to ensure secure, high-quality data delivery using technologies like Databricks, Snowflake, and Azure.
Data Engineer designing and maintaining a central data platform (Databricks, Snowflake, Python, SQL) supporting analytics and AI/ML workloads at a precision instruments company.
The Data Engineer will design and maintain data infrastructure, including databases, data pipelines, and machine learning tools like feature stores and experiment tracking. The role focuses on optimizing data quality and efficiency within a financial services environment using Python and big data technologies.
Moontech is seeking a Senior Data Engineer to build the foundational data architecture for their AI-native influencer marketing platform. You will own the design and maintenance of production pipelines, data models, and infrastructure across GCP and AWS to support AI agents and business analytics.
Artefact is seeking a Data Engineer to build scalable data pipelines and infrastructure to support Generative AI, RAG systems, and LLM fine-tuning. The role involves working with cloud platforms like Databricks, Azure, or AWS, and implementing data transformation and orchestration best practices.
Position - BI / Data Architect Experience - 12 Years Location - Remote Type - Full Time Job Description Must Have Technical/Functional Skills Apache Iceberg, Spark, Flink, Kafka, dbt, Trino, Snowflake, Databricks AWS,…
Senior Data Engineer at HelloFresh builds and scales data pipelines for marketing personalization using cloud and big data tools like AWS, Databricks, and PySpark to power customer-facing products.
Join Spyrosoft’s growing Data & AI Unit as a GeoAI Architect / GeoAI Lead, and take the lead in building cutting-edge geospatial and AI-driven solutions that connect technology, analytics, and real-world impact.…
Сеть магазинов формата food & wine "Ароматный мир" приглашает в команду ! Какие задачи предстоит выполнять: Разработка и внедрение ML-моделей прогнозирования спроса (временные ряды + градиентный бустинг +…
Silicon Quantum Computing (SQC) is at the forefront of global efforts to build the world’s first commercial-scale quantum computer, while delivering quantum-enhanced AI and simulation products to customers today.…
About the Role We are hiring two Full-Stack Developers, Data Applications, who will develop the backend data pipelines and self-service application layer. The developers will work across the same surface: Python…
Leads design and development of security automation solutions and data pipelines within FNF's ORCA program, using Python, Kubernetes, Terraform, orchestration platforms, and AI/LLM integration.
Senior AI Engineer designing and deploying production-grade AI systems across cloud and on-prem environments, working with Python, containerization, MLOps tools, and distributed system architecture.
Builds and maintains a cloud-based research platform for systematic commodities trading, owning software, data pipelines, and infrastructure to enable live trading from data to execution.
Senior AI Engineer building Agentic AI use cases for Trading Surveillance, involving full-stack Python apps, RAG systems, vector databases, data pipelines, and multi-cloud AI infrastructure.
We couldn't check your fit for this role — add a CV to your profile to see it next time.