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 Analyst builds and tests hypotheses, runs A/B tests, and creates BI reports for an ad platform using ClickHouse, Redash/Superset, and Big Data tools.
Designs and implements a high-performance Lakehouse data platform for a large bank, focusing on distributed compute (Spark/Flink) and storage (S3) across 10,000+ servers.
Designs and builds real-time, multimodal data pipelines that enrich raw data with ML models to power Apple’s customer-facing services at massive scale.
Data Engineer, AI Platform Department: R&D Location: United States, North America Employment Type: FullTime Build a Safer World. TRM Labs provides AI-powered intelligence solutions that help public and private…
Designs and builds scalable, distributed backend systems for Salesforce's SaaS CRM platform, integrating AI agents into human workflows while ensuring performance, security, and maintainability.
Lead engineering teams that build and scale CrowdStrike’s massive data infrastructure, processing over 3 trillion events daily using Spark, Flink, and related tools to power real-time analytics and AI-driven cybersecurity.
Principal engineer builds and owns a self-service real-time data enrichment platform at a cybersecurity leader, using Spark/Flink to process trillions of daily events and empower customers to proactively hunt threats.
Senior Data Engineer builds and maintains large-scale data platforms and pipelines for a global bank, using Spark, Kafka, Iceberg, and cloud-native tools to deliver trusted, AI-ready data assets.
Build and deploy ML pipelines and LLM systems for EA Sports FC, optimizing models for edge devices like consoles and PCs to power in-game experiences.
Designs, deploys, and optimizes Trino clusters in Kubernetes for large-scale data environments, ensuring high availability, performance, and efficient query execution across heterogeneous data sources like Hive, Iceberg, and Kafka.
Builds and maintains data pipelines and reporting systems for Apple's online media platform, migrating legacy infrastructure to modern cloud-native solutions while ensuring compliance and operational accuracy.
Designs and builds scalable data pipelines and platforms using Python, Spark, Kafka, and Airflow to process large volumes of data for analytics and business applications.
Principal Solutions Architect designs and deploys an AI-native data platform for large financial institutions, integrating it into complex data stacks and identifying expansion opportunities.
Principal Fullstack Data Engineer Location: Dallas, Texas Time Type: Full time Job Description Job Description: Position Overview The primary responsibility of the Principal Fullstack Data Engineer is to lead the…
Design and maintain a secure hybrid cloud platform for geospatial intelligence applications, migrating systems to AWS and on-prem environments while integrating AI and Kubernetes.
Senior Data Engineer builds and scales Apna’s data platform, designing pipelines, lakehouse architecture, and query systems to power analytics, ML, and business decisions.
Design and deliver enterprise data platforms for a bank, integrating rule-based analytics, NLP, and AI to support credit risk, customer segmentation, and regulatory reporting.
Build and deploy AI/ML forecasting systems for retail demand planning, including data pipelines, model serving, and MLOps tooling in a cloud environment.
Build and deploy AI/ML forecasting pipelines and systems to predict retail demand, optimize resources, and drive data-driven decisions using cloud-native tools and MLOps practices.
Build and scale NinjaOne’s modern data platform using Kafka, Spark, Iceberg, and Databricks, designing lakehouse architectures and reliable pipelines to power analytics and AI-driven products.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
