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.
Data Platform Engineer 3 days on site - London Ready for a challenge? Then Just Eat Takeaway.com might be the place for you. We’re a leading global online delivery platform, and our vision is to empower everyday…
Job Description This role is categorized as hybrid. This means the successful candidate is expected to report to Austin Technical Center three times per week, at minimum [or other frequency dictated by the business if…
Help shape the data foundation behind one of Amazon's fastest-growing supply chain networks — and put AI in the hands of the people who move millions of packages across Mexico every day. This is your chance to…
If you are looking for a game-changing career, working for one of the world's leading financial institutions, you’ve come to the right place. As a Lead Software Engineer at JPMorgan Chase within the Corporate…
FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access to financial data and analytics that investors use to make crucial decisions. At…
Java Python Software Engineer I – Montreal Do you enjoy being part of team that develops high-quality code? Do you enjoy ensuring the quality of software delivered? About our Team Our Technology teams uses cutting-edge…
Who we are looking for State Street Investment Management’s Data, Analytics & AI Services (DAAIS) team is seeking an experienced hands-on architect, engineer for building the multi-cloud open architecture-based…
iHeartMedia Current employees and contingent workers click here to apply and search by the Job Posting Title. The World's Largest Broadcast Software Provider. RCS Worldwide is home to four industry-defining brands:…
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Software Engineer III at JPMorganChase within the Commercial and Investment Bank,…
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorganChase within the Commercial and Investment Bank,…
Build and own the data platform powering trusted, petabyte-scale data for analytics, BI, and agentic workflows at a fintech leader.
Position: Senior Python / GCP Data Engineer Location: Remote Employment Type: Full-Time Salary: $2,000–$3,000 USD per month (depending on experience) Working Hours: Must be available during U.S. business hours (Eastern…
The engineer designs and builds AWS-native, near-real-time event-driven integrations, modernizing an existing Operational Data Store by migrating legacy ODI, MuleSoft and Heroku-based flows to AWS. Day to day this means building REST/JSON APIs and data pipelines with Python and services like EventBridge, SQS/SNS, Lambda, API Gateway, S3 and CloudWatch, integrating sources such as Oracle, PostgreSQ
Builds and designs data pipelines for a banking client, mapping data flows between source systems, Kafka, and ODS using Java, Python, and modern data tools.
Build and maintain scalable event-driven data pipelines using Kafka, Spring Boot, and GraphQL for a banking client, deploying across cloud and on-premise environments.
Experienced backend/data engineer at IVIX, an AI platform that helps governments detect financial crime, designing and maintaining data-intensive services and pipelines in Python with Spark, Kafka, MongoDB, Elasticsearch, Neo4j, Redis, and Iceberg, deployed on-prem and as SaaS on Kubernetes.
Backend engineer on Spotify's data platform team building the Lakehouse on Apache Iceberg and owning BigQuery at Spotify scale. Day to day: build Iceberg table infrastructure on GCP/Kubernetes with Java or Scala, migrate data pipelines, run support rotations, and debug production issues across storage formats, catalogs and query engines.
Architects, builds, and optimizes Brightstar Lottery's enterprise data platform centered on Snowflake — designing scalable data models and semantic layers, integrating data from databases, files, queues, and APIs, and enabling analytics and AI-driven use cases. Core stack: Snowflake, SQL, Python/Java, dbt, Airflow.
Responsibilities Trabajar en un proyecto de integración de plataformas de datos. Trabajar con entornos lakehouse. Crear y gestionar pipelines de ingesta y transformación de datos. Administración de base de datos y…
We couldn't check your fit for this role — add a CV to your profile to see it next time.
