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.
Embed with federal clients to deploy and scale AI native solutions (LLMs, RAG) using Python/Rust and cloud platforms for defense and civilian missions.
Design and implement end-to-end cloud-based ETL pipelines for high-volume semiconductor test data using AWS and Python. Partner with engineering teams to translate test requirements into scalable architectures for yield analysis and failure analysis.
Build and optimize scalable batch and streaming data pipelines and models using SQL, dbt, and cloud platforms to enable data-driven decision-making.
The Machine Learning Developer designs, builds, ships, and operates applications whose core behavior is model-driven rather than explicitly authored. The Developer builds the engine behind ServiceNow's optimization…
About Scytale Scytale is a global leader, an AI-powered company transforming how organizations achieve and maintain trust and compliance. Our platform automates frameworks SOC 2, ISO 27001, SOX ITGC, GDPR, PCI DSS, and…
What is this position about? Design and build scalable backend systems using Java, with deep expertise in production-grade application development. Lead the architecture and implementation of distributed systems,…
About the role: The Data Platform group builds and operates the foundational data systems that power Modular’s business, from product telemetry to GTM analytics to cross-functional insights used by Engineering,…
Design, develop and maintain data ingestion, transformation and modeling pipelines using ETL/ELT processes, cloud technologies (Azure, AWS), and scripting languages (Python, PySpark) to support maritime industry analytics.
Build and maintain scalable data pipelines using Databricks, PySpark, and Azure Data Factory, optimizing data models and performance for a remote role based in India.
Hands-on Data Engineer designing scalable data pipelines and platforms using Python, SQL, PySpark, and Databricks. The role involves ETL/ELT, cloud integration (AWS/Azure/GCP), and implementing Lakehouse architectures for data processing.
Design and evolve a maritime data platform using Python, SQL, AWS, and Snowflake to process data and support decarbonisation insights.
Senior data engineering role designing and developing scalable data pipelines and ETL solutions using Azure Databricks, Azure Data Factory, SQL, PySpark, and Delta Live Tables for data processing and transformation.
Develop Big Data solutions using Hadoop, Spark, Hive, and Sqoop. Handle requirements gathering, data analysis, and build data ingestion frameworks with a focus on ETL and BI concepts.
Lead a cybersecurity team managing SOC, GRC, and security engineering for a healthcare revenue-cycle management company, ensuring compliance and operational excellence in a hybrid Hyderabad role.
Profluent is the frontier AI lab for biology. Profluent builds powerful foundation models for all of life's molecules, unlocking solutions that transform medicine, agriculture, and beyond. Founded in 2022 and…
BELVEDERE is seeking a senior Data Engineer in Warsaw to design, build and optimise data ingestion infrastructure for an AI Data Marketplace platform. You will develop robust pipelines, ensure stability and…
Important: if an employer asks you to log into their system via iCloud or Google, send a code, an SMS or Telegram password, run some code, or install software — refuse. These are signs of fraud. We are looking for a…
We are looking for an experienced Data Engineer to support two strategic data-driven initiatives within the Lufthansa Group ecosystem. If you enjoy working with large-scale data platforms, modern cloud technologies,…
Data Engineer - Azure Data Marketplace Location: Warsaw Contract Type: 3 Months Job Type: Hybrid Work oncutting-edgeAI data marketplace technology Lead data ingestion pipelines using Azure Data Factory and Databricks…
We couldn't check your fit for this role — add a CV to your profile to see it next time.