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.
Senior data scientist builds and validates contextual bandit systems for retail e-commerce on AWS SageMaker, then takes 24/7 production ownership including monitoring, retraining, and A/B testing.
Design and maintain scalable data architectures, ETL pipelines, and data lakes for a national library system using AWS, SQL, Python, and Airflow.
Designs and provisions an AWS Lakehouse data lake foundation using S3, Iceberg, Glue, Athena, and Lake Formation, with Terraform for infrastructure-as-code across environments.
Designs and provisions AWS-based data lakehouse infrastructure using Iceberg, Glue, Athena, and Lake Formation, with Terraform for IaC across CI/CD environments.
Build and maintain an insurance-focused data platform using Python, AWS Glue, Spark, and Data Mesh principles.
Builds and maintains AWS-based data pipelines and Spark jobs in a Data Mesh architecture using Python and Agile workflows.
Build and own Duetto’s Python/PySpark data lakehouse that powers real-time hotel pricing decisions, migrating from batch to streaming pipelines on AWS while driving data quality and AI-assisted tooling.
Builds and maintains backend systems in Python and AWS to process anonymized healthcare data, deploy ML models, and power privacy-first advertising platforms.
Principal CX Architect designs and delivers AI-native contact center solutions using Amazon Connect, Bedrock, and Lex, leading a team to build scalable conversational AI, routing, and analytics while ensuring production-grade reliability and security.
Build and maintain cloud-based data pipelines and warehouses for clients using AWS, SQL, and ETL tools like Informatica or SnapLogic.
Lead the architecture and development of scalable, cloud-native data platforms using Python and AWS services, designing robust ETL/ELT pipelines and mentoring engineering teams.
Designs secure, scalable AWS-based data platforms and AI solutions for APAC clients, ensuring compliance and measurable business outcomes.
Build and maintain cloud data pipelines in Python, using AWS services and IaC to ingest, process, and model data for analytics and operations.
Lead the design and implementation of scalable GenAI, LLM, and AI-agent architectures, including RAG and MLOps/LLMOps pipelines, to deliver enterprise solutions and accelerate client adoption.
Lead the design and modernization of a cloud-native data platform for Product Control, migrating legacy SQL Server systems to AWS-native services like Aurora PostgreSQL and Redshift while driving automation and AI-enabled engineering practices.
Build and maintain scalable data pipelines and cloud-based platforms using AWS, Python, Spark, and Databricks to power Sportsbet’s analytics and AI-driven products.
Build and maintain scalable data pipelines and cloud-based data platforms using AWS, Python, Spark, and Databricks to power Sportsbet’s analytics and AI-driven products.
CareCone Group in Sydney seeks a Senior AWS Data Engineer to design, build, and support scalable data pipelines and curated datasets on AWS. You will ingest, transform, and serve data for reporting and analytics,…
Build and maintain scalable data pipelines, ETL/ELT workflows, and cloud-based data warehouses using SQL, Python, and AWS/GCP tools to support analytics and backend services.
We are looking for an experienced Data Engineer (Cloud) to join our growing team. The ideal candidate should have hands-on expertise in designing and developing cloud-based data solutions using AWS, Databricks, Python,…
We couldn't check your fit for this role — add a CV to your profile to see it next time.
