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 ETL pipelines, data quality systems, and new data products using Python, SQL, Spark, and AWS tools to power Leadinfo’s B2B lead-gen platform.
Designs and builds scalable cloud-native data platforms on Azure/AWS, including ETL pipelines, IaC (Terraform/Bicep), and analytics infrastructure for client projects.
Designs and builds scalable cloud data platforms on Azure and AWS, including ETL pipelines, IaC (Terraform/Bicep), and analytics infrastructure for enterprise clients.
Build and maintain data pipelines, integrate sources, and enable analytics for clients using SQL, Python, and cloud platforms like AWS/Azure.
Designs and builds data pipelines in Azure or AWS, cleans and transforms data, and maintains ETL processes for analytics and reporting.
Build and maintain data pipelines in Python to ensure high-quality B2B lead data for a fast-growing marketing platform.
Builds and maintains scalable data pipelines using Lakehouse/Lakeflow architectures, job orchestration, and ETL/ELT workflows to support analytics and reporting.
Build and migrate cloud data warehouses using Snowflake, dbt, and Python; design ETL pipelines and validate data integrity for enterprise clients.
Data Engineer intern builds and maintains data pipelines and ETL processes using AWS Glue, Lambdas, Java, and Python to support trading platforms and regulatory reporting.
Design and build cloud-based data pipelines, warehouses, and analytics solutions for clients using AWS, GCP, Azure, Databricks, and Snowflake.
Design and build scalable cloud data pipelines on GCP and AWS, integrating batch and real-time streams for analytics and AI use cases.
Lead the design and operation of Klarna’s AWS-based analytical data platforms, building scalable pipelines and warehouses with Spark, Iceberg, Redshift, and Databricks to power analytics and ML.
Build and maintain scalable ETL/ELT pipelines and data models in AWS using PySpark, Glue, and Delta Lake to power analytics and reporting for an Italian online grocery platform.
Lead a team to build and govern scalable data platforms for JLL’s Capital Markets unit, integrating real-estate data for analytics, AI/ML readiness, and automated insights.
Build and maintain secure, scalable cloud data platforms using Databricks, AWS services, and Terraform to enable governed data processing and analytics.
Lead the architecture and delivery of large-scale healthcare data pipelines and platforms for Roche’s digital cervical screening solution, using Python, SQL, Spark, and cloud data tools.
Build and maintain AI-focused data pipelines and cloud architectures, using Python, SQL, and AWS tools to feed and optimize machine-learning systems.
Build and maintain AWS-based data pipelines and ETL workflows using Python, Spark, and Glue to feed analytics and reporting systems.
Designs and builds scalable data pipelines and self-serve infrastructure under a Data Mesh model, collaborating with domain teams to define data contracts and ownership.
Build and optimize large-scale data pipelines and lakes on AWS Databricks, orchestrating ETL workflows and ensuring data quality for a global risk-intelligence platform.
We couldn't check your fit for this role — add a CV to your profile to see it next time.