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 maintain Azure-based security data pipelines and analytics platforms to centralize visibility across EY’s multi-cloud and on-premises environments using Azure Data Factory, Databricks, and SQL.
Blendis a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles…
Build and maintain ETL/ELT pipelines in Python and SQL on AWS, optimizing cloud data lakes/lakehouses for performance and cost while collaborating with AI teams to productionize ML prototypes.
Senior Data Engineer builds and maintains scalable ELT pipelines on Snowflake, AWS, and Airflow for a client, ensuring data quality and governance while advising on best practices.
Builds and leads a scalable airline data platform, designing ELT pipelines and analytics solutions in SQL, Python, and BI tools to turn raw flight data into strategic assets for airlines.
Build and scale KIU’s data platform, designing ELT pipelines and datasets that power next-gen analytics products for airlines using SQL, Python, and cloud tools.
Design and scale a modern data platform using Snowflake, Airflow, and ETL/ELT pipelines, while implementing DataOps practices and CI/CD for analytics.
Senior Data Engineer builds and scales a modern data platform, designing ETL/ELT pipelines, optimizing Snowflake schemas, and implementing DataOps practices with Airflow, Prefect, or Dagster.
Designs and maintains scalable data pipelines and ETL/ELT workflows using SQL, Python, and BigQuery to process large datasets for KPMG’s advisory clients.
Design and maintain data pipelines between CRM, billing, internal platforms, and a Snowflake data warehouse, ensuring data accuracy and accessibility.
Designs and maintains scalable data pipelines using SQL, Python, and cloud platforms like BigQuery and Snowflake to transform data and optimize performance and costs.
Designs and maintains scalable Snowflake-based data pipelines and cloud architectures, optimizing ETL/ELT processes and integrating them into cloud-native applications.
Architect and build scalable data pipelines and warehouses using Snowflake, Airflow/Prefer/Dagster, and Python to ensure reliable, accessible data for enterprise analytics.
Build and maintain scalable data pipelines and ETL/ELT processes using cloud tools and modern orchestration to power analytics and data-driven decisions.
Build and optimize AWS Glue/PySpark ETL pipelines for large-scale data migration and transformation, enforce technical standards, and review code in a cloud-native data platform.
Lead a team to build and maintain Snowflake-based data platforms and ELT pipelines on AWS, ensuring data quality, governance, and reliability for analytics and business workflows.
Lead a team building Snowflake-based data platforms and AWS pipelines, designing scalable ELT workflows and data governance for enterprise clients.
Design and build scalable ETL/ELT pipelines, optimize Snowflake data warehouses, and implement DataOps practices using Python, CI/CD, and Docker for reliable analytics.
Design and scale a modern data platform, building production-grade ETL/ELT pipelines and optimizing Snowflake schemas for reliability and accessibility.
Design and build scalable ETL pipelines in Azure Data Factory and SQL Server, migrating to Microsoft Fabric for unified enterprise reporting and analytics using Power BI.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
