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.
Develop and maintain Cellosaurus, a bioinformatics cell-line database, including REST APIs, semantic web services, and data management tools using Python, FastAPI/Django, and MySQL.
Designs and maintains data pipelines to transform raw data into insights using Python/Java/Scala, SQL/NoSQL, and ETL tools.
Build AI-driven features like chatbots and copilots using deep learning and LLMs to enhance customer interactions at a global fintech super app.
Builds and maintains core data infrastructure for near-real-time access, focusing on scalable interfaces, observability, and high availability in a cloud data tier using Scala/Java and BigQuery.
Backend engineer building SEO-focused microservices for a large marketplace using Java/Kotlin, Spark/Scala, and MongoDB on GCP.
Builds and optimizes backend systems in Scala to process large-scale data pipelines using Kafka and Kubernetes for an AI-driven data platform.
Builds and maintains large-scale data systems for ad targeting, using Python or Scala to turn business needs into scalable solutions.
Builds and maintains large-scale data systems using Python and Scala, collaborating with cross-functional teams to deliver scalable solutions in a hybrid setup.
Design and build AI and data solutions for financial clients using cloud tech like Azure OpenAI, Databricks, and Microsoft Fabric, including LLMs and advanced analytics pipelines.
Builds and maintains a large-scale Azure-based data platform using Spark, Scala, Java, and Kubernetes for a global client.
Build and maintain distributed big-data pipelines using Spark, Scala, Python, and AWS to process large datasets in near real-time for analytics and visualization.
Builds and maintains distributed Spark/Scala pipelines on AWS to process large datasets in near real-time, enabling analytics and visualization for clients.
Build and scale cloud-based data infrastructure at Asana, owning AWS/Databricks environments, ingestion pipelines, and internal tools to ensure reliable, timely data flow for analytics and reporting.
Design and build a cloud-based data lakehouse that ingests engineering and security tool data, transforms it through medallion layers, and serves analytics dashboards and AI agents.
Build and optimize petabyte-scale data pipelines using Spark/Flink and JVM languages, then serve insights via HTTP APIs for media analytics at Comscore.
Data Integration Engineer Location: Poznań, PL, 61-569 Facility: POZNAN-6731 LyondellBasell a leader in the global chemical industry creating solutions for everyday sustainable living. With a nearly 70-year legacy that…
Senior Big Data Engineer builds and maintains Databricks pipelines in Scala/Java, integrating Azure cloud services to support valuation and risk systems.
Builds scalable big-data pipelines on Azure Databricks and Spark, using Java/Scala and Kubernetes to support risk-management services.
Build and maintain a cloud-based big data platform using Spark, Azure Databricks, Java, and Scala, with Kubernetes, Terraform, and GitLab CI/CD.
Build and maintain scalable data pipelines and analytics software in Python and SQL, integrating IoT, CRM, and cloud platforms (Azure/Databricks) to power climate-tech solutions.
We couldn't check your fit for this role — add a CV to your profile to see it next time.