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 optimize Databricks pipelines using Delta Live Tables and PySpark, migrate legacy systems to modern CI/CD, and ensure output equivalence with Palantir Foundry.
Designs and builds scalable Azure data pipelines and analytics solutions for automotive clients, integrating SAP and other sources using Databricks, Azure Data Factory, and PySpark.
Build and optimize cloud data pipelines in Snowflake, orchestrate workflows with Airflow, and transform data using dbt to support enterprise analytics.
Builds and maintains global data pipelines and datalake infrastructure using Python, Spark, Databricks, and Azure services to ensure reliable, high-quality data for analytics.
Build and maintain a global data lake and pipelines using Python, Spark, Databricks, and Azure services to ensure reliable, high-quality data processing and analytics.
Builds and maintains global data pipelines and lakes using Python, Spark, and Azure tools to ensure reliable, high-quality data for analytics and operations.
Builds and maintains Azure data pipelines with Data Factory and Synapse, then delivers interactive Power BI reports for business insights.
Builds Azure-based data pipelines and reporting dashboards using Data Factory and Power BI to orchestrate and visualize business data.
Leads Azure-based data pipelines and analytics platforms using Data Factory, Synapse, Spark/Databricks, and Power BI, while mentoring a team of engineers.
Designs and maintains real-time and batch data pipelines using PySpark, Kafka, Flink, and Azure Data Factory, while mentoring a data engineering team.
Designs and builds Azure data pipelines with Data Factory and Synapse, then delivers interactive Power BI reports for business insights.
Builds and maintains Azure data pipelines with Data Factory, models data in Synapse Analytics, and creates interactive Power BI reports for business insights.
Principal Data Engineer builds and scales real-time and batch data pipelines using PySpark, Kafka, Flink, and cloud orchestration tools, while leading a team to deliver robust analytics infrastructure.
Senior Data Engineer builds and maintains scalable ETL/ELT pipelines on Azure Data Factory and Databricks, optimizing for cost, speed, and data quality.
Designs and maintains scalable data pipelines using Azure Data Factory, Synapse Analytics, and PySpark to ensure high-quality, secure data access for analytics.
Design and build secure, scalable data pipelines and infrastructure for ADAPT, a real-time energy-sector platform, using Azure services to enable live analytics and automation across maintenance and supply-chain operations.
Builds and maintains Azure data pipelines, Synapse analytics, and Power BI reports to transform raw data into business insights.
Build and optimize Power BI dashboards, DAX models, and ETL pipelines for a tax/financial services automation platform using Azure SQL, Power Query, and Azure Data Services.
Builds Azure-based data pipelines with Databricks Spark and Data Factory, then surfaces insights via Power BI dashboards for analytics and reporting.
Builds and maintains Azure-based data pipelines and warehouses, writes PySpark jobs on Databricks, and delivers BI dashboards for analytics and reporting.
We couldn't check your fit for this role — add a CV to your profile to see it next time.