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.
Builds and maintains ETL/ELT pipelines and a cloud data warehouse (e.g., Snowflake/BigQuery) from scratch, ensuring data accuracy, scalability, and usability while collaborating with cross-functional teams.
Build and maintain Nomeco’s data pipelines, warehouse, and AI-ready data foundation using Azure tools, ensuring high-quality data for reporting, analytics, and predictive/generative AI solutions in healthcare logistics.
Builds and maintains data-driven solutions using Azure Databricks, PySpark, and SQL to enable business insights and decision-making for Arla Foods' innovation and consumer intelligence teams.
Implement and maintain Omada Identity IAM solutions for Danish and DACH clients, designing role models, policies, and attestation workflows while ensuring compliance with NIS2, DORA, and ISO 27001.
Build and maintain ETL pipelines and reports for energy trading systems using SQL Server, SSIS, and Python in a hybrid Houston role.
A Marketing Data Engineer modernizes the Azure data warehouse, builds scalable data pipelines, and enables data-driven marketing using Databricks for personalization, working with the commercial data team to ensure data quality and compliance.
Data Engineer modernising a commercial data warehouse in Azure/Databricks for an online wealth manager, enabling data-driven marketing, segmentation and personalisation.
Job Title: Senior ETL Tester (Automation & AI Exposure) Location: Quincy, MA (Onsite) Job Type: Contract Experience: 8 Years Role Overview We are seeking a Senior ETL Tester with strong data automation experience and…
Design and build enterprise-scale Azure data platforms, data warehouses, and ETL/ML solutions using Databricks, Delta Lake, and Data Lakehouse architectures, covering infrastructure, governance, security, and CI/CD.
Develops Power BI datasets, dashboards, and reports, maintains the environment, supports users, and performs testing, using DAX, Power Query, and SQL.
This is a remote position. Responsibilities: Design and implement secure, resilient, and scalable warehouse architecture that meets current and future needs of the organization Design, develop and modify relational and…
An ETL developer who creates and maintains SSIS packages, optimizes SQL queries, and supports data warehousing systems, ensuring data integrity and performance.
Build and manage Azure data pipelines and dataflows using Azure Data Factory, SQL databases, and data warehouses in a fully remote role.
Builds and maintains enterprise data pipelines, warehouses, and semantic models in Azure to deliver trusted analytics for business users.
Senior Data Architect supporting the JIMS 3.0 initiative, responsible for data architecture analysis, design of enterprise data warehouse and data marts, and ensuring compliance with government standards. Core technologies include SQL Server, SSIS, and data modeling tools.
A Senior Data Architect supports the Government of Alberta’s Justice Information Management System (JIMS 3.0) project, designing an Enterprise Data Warehouse, dimensional data models, ETL processes, and ensuring data quality and governance, with a focus on Kimball architecture, SQL, Azure, and public-sector experience.
The Staff Data Engineer at Commonwealth Bank will design and build scalable cloud-native data products, platforms, and pipelines that power customer engagement, CRM experiences, operational intelligence, and AI-enabled solutions. They'll work with emerging Generative AI and agentic AI capabilities, influence data architecture, and establish engineering standards across Business Banking.
Builds and maintains ETL pipelines and BI reports using IBM Cognos and Oracle, ensuring accurate data access for analytics in a workers’ compensation insurer.
Senior Data Scientist in marketing at a global gaming company, building AI-driven models and pipelines to measure ad spend, LTV, and campaign effectiveness across paid and direct channels.
Lead a team building scalable cloud data platforms and pipelines for Apple’s AI and analytics needs, using Python/Scala/Java, Spark, Kafka, and cloud services.
We couldn't check your fit for this role — add a CV to your profile to see it next time.