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 scalable data pipelines and cloud-native platforms to power AI and analytics for investment banking and global markets using Spark, Kafka, and cloud services.
Design and build scalable data pipelines, warehouses, and lakes for a telecom retail software provider, integrating diverse data sources and enabling analytics.
Design and maintain scalable data pipelines and platforms using Microsoft Fabric and Azure to enable secure, reliable analytics and reporting for a public-sector organization.
Build and optimize PySpark pipelines for large-scale data processing, tuning performance and integrating with Hadoop, HBase, and SQL databases.
Build and own Flinks’ data and ML platform: pipelines, warehousing, model serving, and governance that power financial insights and payments for banks and fintechs across North America.
Design and maintain large-scale data pipelines and ML infrastructure to process robot fleet data, enabling efficient AI workflows and model training.
Build and maintain high-volume data pipelines using PySpark, Databricks, and AWS to ingest, transform, and store aerospace manufacturing data for analytics and reporting.
Design, build, and maintain high-volume data pipelines and applications using PySpark, Databricks, AWS, and SQL to support analytics and reporting for aerospace manufacturing.
Designs and builds scalable analytics solutions on Microsoft Fabric, creating data pipelines, models, and governance for enterprise BI and reporting.
Build and maintain scalable ETL/ELT pipelines and cloud data platforms to turn raw weather and environmental data into reliable, decision-ready datasets for B2B products using Python, SQL, Apache Beam, Snowflake, and BigQuery.
Designs and builds data pipelines and databases to collect, process, and analyze supply-chain data for business insights.
Build and maintain secure, high-performance ETL pipelines on Azure Databricks and Data Factory that ingest financial data, shape it into trusted assets, and expose curated products for analytics and AI across TD Bank.
Build and maintain scalable data pipelines in Azure, using Data Factory, Databricks, Synapse, and Data Lake to feed analytics and BI workloads.
Build and optimize ETL pipelines for large-scale datasets using Azure and Hadoop, validate data quality, and collaborate with data scientists to support analytics initiatives.
Designs and builds data models in AWS and Snowflake to power HR analytics and insights for Sun Life’s Client Experience Office.
Build and maintain secure, scalable data pipelines in Azure Synapse/Fabric using Python, Spark, and DevOps to ingest, transform, and validate financial datasets for regulatory reporting.
Design, tune, and modernize enterprise-scale databases (Sybase, DB2, Snowflake, SingleStore) using Python and Unix/Linux, while migrating workloads to cloud platforms.
Build and evaluate AI-powered tools for insurance risk management, including adversarial evaluation platforms and AI pipelines using Python and cloud services.
Build and evaluate AI training tasks, primarily Android-focused coding problems, and provide feedback to improve AI models.
Build AI-driven healthcare software using Java/Python and big-data tools like Apache Hudi and Databricks to automate processes and improve patient care.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
