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.
Design and build scalable Palantir Foundry data pipelines and ontologies, turning raw enterprise data into actionable insights for critical decision-making.
Design and build automated ETL pipelines for geospatial datasets like satellite imagery and GPS data, using PostGIS and GeoParquet to ensure data quality and support spatial modeling.
Designs and builds scalable data platforms, leads data architecture, and optimizes pipelines for Oportun’s credit-focused fintech systems.
Builds cloud-based ETL/ELT pipelines and optimizes data models using Python, SQL, Snowflake, and BigQuery to support analytics.
Build and maintain a cloud data platform using Azure Databricks and Power BI, designing ETL/ELT pipelines and optimizing data quality and performance.
Designs and builds ETL/ELT pipelines in Python and BigQuery to process and transform data for analytics and reporting.
Builds and maintains scalable data pipelines in Azure to enable analytics and data-driven decisions using Python, Spark, and Databricks.
Builds and maintains data analytics and AI modeling pipelines using Python and R to deliver scalable software solutions in a product-focused team.
Designs and maintains ETL pipelines and cloud-based data infrastructure to feed maritime analytics, using AWS/Azure and ensuring timely, accurate data for business decisions.
Forest Engineer reviews forest data to ensure accuracy for carbon certification processes, leveraging expertise in forest ecology and data analysis.
Builds and optimizes cloud data pipelines using Scala, Python, or PySpark on Azure Databricks for a Spain-based data analytics firm.
Designs and builds scalable cloud data pipelines on GCP and AWS while collaborating with international teams to optimize data workflows.
Design and implement Microsoft Azure Data & AI solutions using Azure Databricks and PySpark for clients.
Build and scale data pipelines for a digital health startup using cloud tech, IoT, and AI to create personalized patient solutions.
Build and lead the data engineering function for a healthcare tech platform, designing scalable warehouses and ETL/ELT pipelines to ingest and process health data.
Senior Data Engineer builds and maintains Azure-based data pipelines, Power BI reports, and AI solutions for clients, troubleshooting issues and mentoring junior team members.
Build and optimize ETL/ELT pipelines in Databricks using Python and SQL to support BI reporting for a BPO client.
Build and maintain scalable data pipelines and ETLs using Spark, Python/Scala, and cloud platforms (Azure/AWS) to power client solutions.
Build and enhance NetSuite SuiteApps for invoice data capture and approvals automation using SuiteCloud.
Design and build scalable, cloud-native data pipelines and data-lake architectures on AWS using S3, Glue, Redshift, and Kinesis.
We couldn't check your fit for this role — add a CV to your profile to see it next time.