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.
Designs and leads enterprise-scale AI and cloud data platforms for an airline industry client, leveraging Azure services like Databricks, OpenAI, and Delta Lake.
Lead enterprise data engineering and analytics teams to design scalable data platforms using Azure, Databricks, and Power BI for executive reporting and digital transformation.
Designs and leads enterprise-scale cloud data platforms and AI systems for an airline, focusing on Azure, GenAI, and modern data architecture.
Build and optimize scalable data pipelines on Databricks and AWS using Python, PySpark, and SQL for enterprise clients.
Design and build scalable data pipelines using Python, PySpark, Databricks, and AWS for enterprise clients.
Builds and maintains real-time streaming infrastructure for vehicle telemetry and AI/ML platforms using Kafka/Redpanda and Flink in a cloud-native environment.
Principal Data Engineer builds and scales real-time and batch data pipelines using PySpark, Kafka, Flink, and cloud orchestration tools, while leading a team to deliver robust analytics infrastructure.
Designs and maintains data pipelines using Spark, Airflow, Kafka, and Iceberg tables, deploying via GitLab CI/CD on Kubernetes.
Build and maintain scalable data pipelines and warehouses using Python, SQL, and cloud tools to feed analytics and ML systems.
Lead the design and modernization of enterprise data platforms using Informatica IDMC and Databricks Lakehouse, guiding large-scale data transformations for regulated industries.
Builds and optimizes AWS-based data pipelines and lake architectures using PySpark, SQL, and Delta Lake to enable reliable, data-driven decisions.
Senior data engineer building scalable ETL/ELT pipelines, optimizing data lakes, and processing large datasets using Python, Scala, Spark, and AWS services.
Design and run data pipelines from CRM sources to a Databricks-based warehouse using dbt and Airflow, with Python/PySpark in an AWS S3 data lake.
Design and build scalable data pipelines and lakehouse architectures using Microsoft Fabric, Azure Databricks, and Spark to enable robust analytics and reporting for a global packaging leader.
Build and optimize cloud data pipelines and databases using SQL, Python, and Azure tools to support analytics and reporting for clients.
Senior Data Engineer builds and migrates CRM data pipelines for a life-sciences client, moving Veeva/Salesforce data into Databricks with dbt, Airflow, and Delta Lake on AWS.
Senior Data Engineer builds and maintains enterprise data products on Microsoft Fabric, designing scalable ELT pipelines and lakehouse solutions while collaborating with business stakeholders to deliver trusted, reusable data assets.
Senior Data Engineer builds and optimizes PySpark/EMR pipelines, a Hudi-based lakehouse, and data APIs on AWS to power real-estate analytics and ML models for lead generation and property valuation.
Build and maintain scalable data pipelines and ETL workflows using Databricks, Apache Spark, and cloud services to power analytics and ML workloads.
Build and maintain large-scale data pipelines using PySpark on Databricks, implementing ETL/ELT processes and lakehouse architectures for analytics.
We couldn't check your fit for this role — add a CV to your profile to see it next time.