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.
Build and maintain data pipelines (StarRocks, Hudi, Trino, Spark) and support in-product analytics for HackerRank’s AI-native data layer.
Senior Data Engineer builds and owns production-grade data pipelines on Databricks and Azure, transforming raw data into reliable analytics assets for stakeholders.
Build autonomous AI agents and data pipelines using LangChain/LangGraph or Google Vertex AI Agent Builder to automate analytics and decision-making at scale.
Builds and maintains React/Node.js features for a brand-performance analytics platform, focusing on AI-driven insights and modern cloud-native tech.
Designs scalable cloud data pipelines on Azure/AWS/GCP, builds Medallion architectures, and manages Delta Lake for a data engineering team.
Build and maintain a Lakehouse platform using PySpark and Databricks, designing Delta Lake schemas and batch/near-real-time pipelines for reliable, scalable data solutions.
Build and maintain a PySpark and Delta Lake-based data lakehouse on Databricks, creating batch and near-real-time pipelines to power analytics and data sharing for internal products.
Builds and maintains PySpark pipelines on Databricks to power reliable data products and enrichment workflows for a SaaS analytics platform.
Build and maintain GCP cloud infrastructure for Booksy’s data ecosystem using Terraform, PySpark, and CI/CD pipelines to enable reliable, self-service analytics.
Designs and builds scalable data pipelines on Azure using Spark, Databricks, Delta Lake, and Airflow to support digital-transformation projects in a multicultural team.
Design and maintain scalable data pipelines on Databricks using Spark, Delta Lake, and Unity Catalog, collaborating with data scientists and architects to deliver production-grade solutions.
Senior Data Engineer builds and maintains Databricks pipelines on Azure/AWS, migrates legacy systems, and designs secure Delta Lake architectures for multi-tenant clients.
Maintain and optimize a corporate data lake using AWS, Spark, Kafka, and Python, ensuring scalable data processing and performance.
Designs and optimizes Azure-based data pipelines and lakehouse architectures using Data Factory, Synapse, and Delta Lake for secure, efficient data workflows.
Design and build scalable Azure data pipelines and Lakehouse architectures using ADF, Synapse, PySpark, and Delta Lake, ensuring secure, governed data flows for enterprise clients.
Designs and builds scalable Azure-based data pipelines using PySpark, Delta Lake, and Databricks to move and transform data efficiently across cloud systems.
Designs and implements enterprise-scale data architecture for a large transport business, ensuring scalable, secure BI and analytics across multiple countries using AWS, Databricks, and Snowflake.
Designs, builds, and maintains Azure-based data pipelines and lakehouse architectures using Databricks, Synapse, and Data Factory to deliver clean, reliable datasets for analytics and AI.
Designs, builds, and maintains scalable data pipelines and warehouses for an insurer, optimizing SQL Server, Databricks, and Power BI workloads to serve analytics teams.
Senior data engineer builds and owns a real-time analytics pipeline that ingests event-sourced data and JSON logs, models clean views, and powers dashboards and ML models on AWS with Spark and Databricks.
We couldn't check your fit for this role — add a CV to your profile to see it next time.