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.
Senior Data Engineer to design, build, and maintain scalable data pipelines and platforms. Work with data scientists and stakeholders to develop ETL/ELT solutions, data models, and data warehouses using SQL, Python, and big data technologies like Apache Spark and Hadoop.
Senior Data Architect responsible for designing and owning an Azure-based cloud data platform with Databricks, including Lakehouse/Data Warehouse architectures, ETL/ELT pipelines, and data governance — fully remote within the CET timezone.
We are Hiring! Sr. Data Engineer Location: La Jolla, CA; Edina, MN The Details: As a Senior Data Engineer at Palomar, you will lead the design, development, and optimization of robust, scalable data solutions that…
Avanciers Incorporated is hiring a Lead Snowflake Software Developer for one of our clients. Role: Lead Snowflake Software Developer Location: Bostan, MA (Onsite) Contract Job ID: AV28380 JD: 10 years of software…
AI Data Engineer at Pacer Group in Montréal, Canada working on hybrid schedule (3 days onsite). Role involves data engineering with Snowflake, SQL, Python, cloud platforms (AWS/Azure/GCP), and AI/Generative AI technologies.
Who We Are Tokio Marine Canada (TMCan) is a Canadian early-stage entrepreneurial commercial P&C insurer based in Toronto. We partner with select brokers to deliver tailored business insurance solutions across…
SumerSports is a leading football intelligence technology company that specializes in providing an innovative suite of products for football fans and NFL clubs. We are a collection of executives, engineers, data…
Data Engineer building and maintaining enterprise data platforms on Azure using Microsoft Fabric, Data Lake, Databricks, and ETL/ELT processes for a major Polish IT outsourcing company.
Designs and maintains scalable AWS-based data pipelines and cloud architectures to transform raw data into reliable datasets for analytics and business intelligence, using AWS Glue, EMR, Redshift, and related tools.
Design and implement ETL/ELT processes using Informatica, Microsoft Fabric, and Azure AI to support client data migration and governance.
Designs, builds, and optimizes scalable data pipelines within the AWS ecosystem, transforming raw data into reliable datasets using tools like Glue, EMR, and Redshift to support organizational analytics.
Designs and builds scalable Azure-based data platforms and ETL/ELT pipelines using SQL, Python, Spark/PySpark, and Azure tools.
Design scalable data platforms, build ETL/ELT pipelines in Azure Databricks, and model data for analytics using SQL, Python, Spark, and Azure data services while collaborating with data analysts, BI, and Data Science teams.
Serve in a senior-level technical role designing, building, and supporting secure, scalable data pipelines that connect enterprise data sources to AI/ML models. Ensure data is accurate, current, compliant, and aligned…
Designs and implements cloud data pipelines and warehouses in Google Cloud/AWS/Azure to integrate marketing and CRM data, enabling analytics and insights for paid media and customer lifecycle teams.
Job Purpose The Sr. Data Engineer will be responsible for translating business requirements into Azure Cloud-based big data solutions for the data modernisation program. You will be responsible for building complex…
About the company: LinkSquares is a Boston-based, AI-powered CLM SaaS leader trusted by organizations like DraftKings, Manscaped, and Vivid Seats. We automate the contracting process for legal, finance, and HR teams,…
Senior Data Engineer builds and scales data pipelines and infrastructure for ad-tech targeting and measurement, using Python, Spark, Airflow, AWS, and Snowflake.
Data Architect - Locals only Introduction: This position is for an experienced Azure Data Engineer / Microsoft Fabric Data Engineer with expertise in ADF, Automated Testing, Cloud Computing, Data Engineering, Data…
Data Architect roles across Belgium and Luxembourg in public, energy, banking and insurance sectors, involving defining data architectures, designing models, and guiding technology choices using SQL, Azure/AWS, Databricks, Snowflake, and ETL/ELT.
We couldn't check your fit for this role — add a CV to your profile to see it next time.