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 deploy cloud-native data pipelines, ML infrastructure, and DevOps tooling for consulting projects using Python, Docker, Kubernetes, and GCP/AWS/Azure.
You design and build data pipelines, model business data, and advise clients on becoming data-driven using Azure, SQL, and Python.
Design and build scalable data pipelines on AWS/Azure/GCP, turning high-volume datasets into reliable foundations for analytics and AI solutions while collaborating with cross-functional teams.
Build and maintain data pipelines and warehouses to collect, process, and serve clean data for analysis, using ETL tools, SQL, and cloud platforms.
Designs and maintains scalable cloud architectures, data pipelines, and legacy systems while balancing high-level abstraction with low-level implementation across multiple tech stacks.
Design and build scalable data platforms using Microsoft Fabric, guiding clients through architecture, pipelines, governance, and analytics with Azure integration.
Build and optimize data pipelines for gaming analytics, processing real-time and batch streams with Python/Java/Go and SQL.
Lead a data engineering team to build and maintain robust pipelines and warehouses for a healthcare search engine used in hospitals, primarily using Python, Prefect, and SQL.
Build and maintain core financial data pipelines (Security Master, ETF compositions, market data) using Python, SQL, Airflow, Kafka, and GCP to ensure high-quality, reliable data for quantitative trading.
Designs, builds, and optimizes data pipelines and dashboards using Python, SQL, and PowerBI to enable reliable analytics and reporting.
Build and maintain data pipelines, optimize T-SQL queries, and automate workflows with Python and Airflow for a banking data warehouse.
Designs and builds data pipelines in Azure or AWS, cleans and transforms data, and maintains ETL processes for analytics and reporting.
Design and build scalable cloud data pipelines and platforms using Python, PySpark, DBT, and SQL, transforming raw data into AI-ready insights for healthcare and other sectors.
Build and maintain a Databricks-based data platform on Azure, migrating legacy systems and developing PySpark/Airflow pipelines for reliable, scalable financial data pipelines.
Senior Data Engineer builds scalable Microsoft-based data pipelines and lakehouse architectures for enterprise clients across finance, government, energy, logistics, and healthcare.
Build and maintain ETL pipelines, PostgreSQL databases, and data integrations in Python for a real-estate advisory firm, using Azure, FastAPI, and Power BI.
Build and maintain a cloud data platform using Databricks, Microsoft Fabric, and Power BI to create trusted, scalable data products for analytics, reporting, and future AI use cases.
Build and maintain scalable data pipelines on Azure using PySpark and Synapse to integrate and process data for consumer-focused comparison platforms.
Design and build data pipelines and AI infrastructure for clients, advising on best practices and implementing scalable solutions to drive data-driven transformations.
Build and maintain cloud-based data infrastructure for clients, designing scalable pipelines with tools like Spark, Airflow, and Terraform to enable AI-driven solutions.
We couldn't check your fit for this role — add a CV to your profile to see it next time.