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.
Builds and maintains Azure-based data pipelines and infrastructure to deliver reliable, scalable data products for banking analytics and customer insights.
Build and scale a feature platform that powers real-time ML ad recommendations, handling batch and streaming pipelines with Python, Flink, and Spark to serve low-latency features for model inference.
Senior Data Engineer builds and optimizes Big Data pipelines and REST APIs using Java/Spring, Spark, and Hadoop, deploying via Docker/Kubernetes on AWS/Azure.
Build and maintain Hadoop-based data pipelines for a bank, using Python and SQL to process and analyze financial data.
Lead a team to build and scale ML-driven data pipelines, integrating predictive analytics using Python, Scala, Golang, Rust, Hadoop, Spark, and Kafka.
Build and maintain a secure, scalable data platform for health data, ensuring compliance and reliability while integrating tools like Kubernetes, Trino, and Spark.
Designs, builds, and optimizes Snowflake and AWS data pipelines, implements ETL/ELT workflows, and ensures data quality and governance for a large enterprise client.
Designs and maintains GCP-based data pipelines, warehouses, and CI/CD for analytics and ML workloads using BigQuery, Dataflow, and Dataproc.
Design and deploy GCP-based data pipelines for a banking client, optimizing query performance and data access to support financial reporting and analytics.
Build and maintain a secure, scalable data platform for healthcare analytics, integrating patient data pipelines, enforcing privacy standards, and ensuring end-to-end data reliability.
Leads the design, operation, and evolution of SUEZ’s data platform, integrating data flows and ensuring reliability and quality while aligning with business needs.
Senior data engineer builds and optimizes scalable pipelines, integrates ML models, and leads a team using Python, Scala, Go, Rust, Spark, Kafka, and modern SQL/NoSQL databases.
Build and maintain scalable Databricks pipelines using Delta Lake, Spark SQL, and MLflow to industrialize ML models and AI workflows for large-scale analytics.
Designs and maintains data pipelines, ETL/ELT workflows, and Snowflake analytics; implements CDC with Debezium and AWS Kinesis/S3; enforces security and data quality in a regulated environment.
Build, deploy and operate full-stack applications using Java Spring Boot and Angular, automate CI/CD pipelines with Docker/Kubernetes, and ensure secure, high-performance production systems while modernizing Enercal’s IT estate.
Build and maintain full-stack applications while automating deployments with CI/CD pipelines and containerized environments using Docker and Kubernetes.
Build and maintain reliable, secure data pipelines for insurance clients, ensuring alignment with business needs and compliance.
Build and evolve a Java-based event-driven platform, handling full-stack development and inter-application middleware integrations for a government IT department.
Build and secure aerospace-defense platforms using GitOps, Kubernetes, VMware, Linux, CI/CD, and infrastructure automation.
Designs, deploys and runs cloud-native Kubernetes platforms for a Telco Cloud stack, using Cluster API, Flux and Infrastructure-as-Code on bare-metal infrastructure.
We couldn't check your fit for this role — add a CV to your profile to see it next time.