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 builds and optimizes GCP/BigQuery pipelines and queries for an aerospace data-modernization program.
Build and maintain batch and real-time data pipelines, design schemas, and ensure trusted datasets for analytics and product teams using SQL, Python, Airflow, dbt, Kafka, and Snowflake/BigQuery.
Build and maintain batch and streaming pipelines for a fast-growing e-commerce platform, ensuring clean, reliable data in Snowflake/BigQuery using Airflow, Kafka, and dbt.
Build and maintain scalable data ingestion pipelines and ETL/ELT processes for a cardiac remote monitoring platform using Python, Spark, and AWS.
Build and maintain cloud-based data pipelines and warehouses to feed analytics and AI at a large cold-storage logistics company using SQL, Python, and Snowflake/Azure.
Designs and builds data pipelines on Google Cloud Platform, focusing on BigQuery, Dataflow, and Pub/Sub, while integrating agentic AI components using Python and MCP servers.
Build and own full-stack features for a marketing intelligence platform that unifies ecommerce ad-spend data and customer journeys using TypeScript, React, GraphQL, and BigQuery.
Build and maintain full-stack trading systems for equity financing using Java, Spring, React, and cloud services, supporting global synthetic finance workflows.
Build and maintain full-stack systems that ingest and clean e-commerce data (ads, screenshots, emails) using TypeScript, SQL, and AI tools to ensure accuracy and reliability for competitive-intelligence clients.
Lead a team building and scaling enterprise wealth-management systems using Java, Spring Boot, and cloud-native tools like Kubernetes and Cloud Foundry.
Build and deploy data pipelines that bridge customer warehouses to Hilbert’s AI growth engine, using ClickHouse, Snowflake, BigQuery, and orchestration tools like Dagster and Airbyte.
Build and optimize cloud-native data pipelines on GCP to power AI, ML, and analytics products used by millions of banking customers.
Lead a small team to build and scale WeRoad’s data platform, writing code and setting architecture for BigQuery, dbt, and real-time pipelines that turn raw travel data into trusted insights for stakeholders.
Design and build GCP-based data pipelines and models to power real-time analytics and AI insights for a global fitness-tech company.
Lead Google Cloud engagements, design and deploy cloud-native solutions for global clients, and guide distributed teams using platform-native services like Data & AI, security, and agentic AI.
Builds and maintains cloud-based data pipelines, transforms raw data into clean datasets, and integrates ML models for scalable analytics and visualization.
Designs and builds secure, scalable GCP data pipelines and warehouses to turn raw data into business insights using BigQuery, Dataflow, and Scala/Java/Python.
Builds and optimizes cloud-based data pipelines for clients using GCP tools like BigQuery and Airflow, working on-site in Milan.
Build and deploy enterprise-scale data pipelines and AI workflows on Google Cloud, focusing on Text-to-SQL, LLM evaluations, and synthetic data generation for large customers.
Build and maintain Java-based microservices for a digital banking platform, collaborating with product teams to deliver scalable, user-centric features in an Agile environment.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
