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 maintain GCP-based data platforms using BigQuery, Airflow, and Python to deliver scalable ETL pipelines and warehouse solutions for reliable data delivery.
Design and maintain scalable data pipelines and warehouses using SQL, Python, and cloud platforms to enable analytics and AI-driven insights for enterprise clients.
Design and build enterprise-scale AWS data platforms and Lakehouse solutions using Spark, Python, and Apache Iceberg, leading architecture through implementation and optimization.
Data Engineering II RealTime CDP Position Summary: We are seeking a Data Engineer II preferably Full Stack Engineer, to focus on core data engineering work within our RealTime Customer Data Platform (CDP). This role…
Build and deploy scalable AI/ML systems, including LLM pipelines, RAG, and MLOps tooling, to production for a global lifestyle brand.
Build and own scalable, event-driven backend services in Java for Marriott’s modern cloud-native platform, migrating legacy systems and integrating high-volume hospitality workflows.
Build and own scalable Java-based backend services for Marriott’s event-driven platform, migrating legacy systems to a modern, reactive cloud stack with Kafka, Spring Boot, and PostgreSQL.
Builds and maintains secure data pipelines for a sensitive government project using Python, Spark, Hadoop, and Kafka, ensuring data quality and compliance with RBAC/ABAC models.
Build and optimize data pipelines to ingest and process retail and consumer-goods data, then expose it via BI dashboards for fast, scalable decision-making.
Build and maintain large-scale data pipelines in Scala and Spark on AWS, ensuring reliability and performance for a distributed data platform.
Build and maintain data pipelines, transform raw data into Snowflake analytics, and secure data flows with CDC, IAM, and encryption for regulated clients.
Designs, builds, and maintains GCP-based data pipelines using BigQuery, Terraform, and Airflow for automated data workflows.
Design and lead enterprise-scale Data & AI solutions on Microsoft Azure, using Fabric, Databricks, and Purview to build scalable analytics and AI platforms for clients.
Design and maintain scalable ETL/ELT pipelines using Microsoft Fabric, Azure Synapse, and Spark, delivering clean datasets for analytics and ML in a cloud-native environment.
Design and deploy ML models, LLMs, and analytical pipelines to support litigation, regulatory strategy, and AI/cybersecurity advisory for Fortune 100 clients and governments.
Build and deploy AI/ML models in Python and SQL to solve business problems, ensuring explainability and governance while collaborating with cross-functional teams.
Build predictive models and AI/LLM pipelines to drive energy trading decisions, using Python, SQL, and workflow orchestration tools.
Design and lead enterprise-scale Azure data platforms and AI solutions using Fabric, Databricks, Synapse, and Power BI to modernize analytics and enable AI/ML workflows.
Lead the design and scaling of a cloud-native data platform for a high-growth fintech, building pipelines, warehouses, and governance to enable AI and real-time analytics.
Lead a team building and optimizing large-scale data pipelines, data lakes, and warehouses using Azure, Spark, Kafka, and Snowflake to power analytics and ML for Emirates’ enterprise systems.
We couldn't check your fit for this role — add a CV to your profile to see it next time.