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 own cloud-based data platforms that power fast, reliable energy-grid simulations for governments and investors, using Python and AWS.
Design and build scalable data platforms using Microsoft Fabric and Databricks, owning end-to-end pipelines and mentoring teams on delivery standards.
Designs secure data architectures and governance frameworks for national security clients, integrating cyber, geospatial, and kinetic data to enable faster, informed decision-making.
Build and maintain scalable data pipelines on a Lakehouse stack, implementing Medallion layers with Kafka, dbt, and Airflow to ensure fast, auditable financial data for reporting and governance.
Lead AI Engineer designs, builds, and deploys enterprise-scale AI/ML and Generative AI systems, including RAG pipelines and agentic workflows, across Azure, GCP, or AWS.
Lead backend engineering teams to build cloud-native, data-driven platforms and APIs for a global credit ratings and financial data provider, using Java/Spring Boot, Python, and AWS.
Build and own scalable ETL pipelines and data warehouses for a hospitality workforce-management SaaS, using AWS Glue, Airflow, Spark, and modern lakehouse formats.
Builds and maintains data pipelines, warehouses, and AI-driven solutions using Python, SQL, and cloud tech to support analytics and ML workflows.
DEA is developing a cloud-native integration platform in Microsoft Azure to support enterprise integrations between statewide agencies, SCEIS, and internal applications. The platform will provide modern synchronous and…
Senior Data Engineer at Bureau to design and own the cloud data lake and streaming pipelines that power real-time fraud detection and identity intelligence products using AWS, Spark, Airflow, and graph databases.
At Dufrain, we help organisations turn complex data landscapes into scalable, high-performing platforms that drive better decisions and business outcomes. From building robust pipelines and reusable assets to enabling…
Build a cloud-native analytics platform from scratch: warehouse, dbt pipelines, semantic layer, and embedded analytics to turn HR survey data into insights for clients and internal teams.
Build and maintain Power BI dashboards for finance leadership, integrating Halo PSA, Xero, Float and HubSpot to deliver unified financial reporting and reconciliations.
Senior pre-sales role designing enterprise investment data architectures for capital markets clients, demonstrating Rimes’ managed data solutions and analytics platform to CIOs and investment teams.
Build and maintain petabyte-scale data pipelines using Iceberg, Spark, DuckDB, and Trino, and own the reporting stack behind the Clear UI.
Build and maintain scalable ETL/ELT pipelines on Databricks using PySpark, SQL, and AWS, integrating data from APIs and databases into Delta Lake tables.
Build and scale high-volume data pipelines for an industrial IoT platform on AWS, using Spark/Flink, Kinesis, Databricks, and FastAPI to deliver real-time and batch analytics.
Build and maintain scalable data pipelines and GenAI platforms on AWS using Spark, Iceberg, and Bedrock to power analytics, AI, and RAG systems for a fintech-focused company.
Design and build scalable payment data models and cloud-native ELT pipelines for a fintech platform handling cards, ACH, wallets, and cash payments.
Build and maintain data pipelines on Microsoft Azure and Fabric, using PySpark, Python, and SQL to move and transform customer data for analytics and BI solutions.
We couldn't check your fit for this role — add a CV to your profile to see it next time.