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.
Designs and maintains GCP-based ETL/ELT pipelines to feed analytics and decision-making, using SQL, Python, and Airflow.
Lead a team building PySpark/AWS ETL pipelines that ingest SAP, Intelex, SQL and OSI PI data into a cloud data lake and ensure clean, reliable data flows for analytics.
Senior Data Engineer builds and maintains real-time data pipelines for utilities' grid data using Python, SQL, AWS, and Airflow.
Builds and maintains ETL pipelines and data models using Airflow and dbt to transform raw data into clean, governed layers for analytics and reporting.
Design and maintain scalable data pipelines using Snowflake, dbt, Airflow, and AWS to power analytics platforms and ensure data quality.
Designs and builds scalable data pipelines and warehouses using Python, Spark, and Snowflake to support analytics and ML workloads for enterprise clients.
Designs and builds scalable data architectures using Apache Iceberg, NebulaGraph, Spark, and Airflow to ensure traceable, governed, and accessible data pipelines.
Designs and maintains scalable cloud data pipelines and warehouses, enabling analytics and ML with tools like Spark, Airflow, and Snowflake.
Build and maintain cloud-based data pipelines and transformation models for banking clients using Airflow, dbt, and Spark.
Build and optimize cloud data pipelines and warehouses (Snowflake/BigQuery) to power AI-driven analytics and BI for global consumer brands.
Build and optimize large-scale data pipelines using Scala, Python, PySpark, and Databricks on Azure, designing cloud-native data architectures for enterprise clients.
Build and maintain Airflow-based data pipelines and orchestrations for a large insurer, using Python, Snowflake, and AWS services.
Build and scale a cloud-native data platform on AWS to power real-time recommendations and analytics for Europe’s leading brands.
Build and maintain data pipelines for trade and communications surveillance, ensuring regulatory compliance and data quality across AWS infrastructure.
Designs and maintains scalable data pipelines and cloud-based data solutions to support analytics, reporting, and machine learning initiatives using Python, SQL, and cloud platforms like AWS/Azure/GCP.
Build and maintain cloud-native AWS data platforms, ETL/ELT pipelines, and data lakes to support analytics and BI use cases.
Build and maintain scalable, real-time data pipelines on AWS and Databricks using Kafka, Spark, Flink, and Airflow, ensuring high-throughput data processing and quality.
Senior Data Engineer builds and optimizes GCP pipelines—batch and real-time—using BigQuery, Spanner, Airflow, and Dataflow to ensure reliable data ingestion and processing.
Builds and maintains automated data pipelines using Spark, Kafka, Airflow, and cloud platforms like Azure or AWS to integrate and process large-scale data for AI-driven analytics.
Senior Data Engineer builds and scales real-time data pipelines on AWS to process grid sensor data, enabling utilities to meet rising electricity demand from AI data centers and electrification.
We couldn't check your fit for this role — add a CV to your profile to see it next time.