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 & Cloud Engineer designs and builds scalable multi-cloud data pipelines and integrations using Azure, GCP, SQL, Python, and ETL/ELT workflows.
Design and build scalable data pipelines and models in Snowflake using modern ETL/ELT tools for a client project based in Medellín.
Builds and maintains scalable data pipelines using GCP, BigQuery, and Airflow to move and transform data for analytics.
Senior Data & Cloud Engineer designs and builds scalable data pipelines and cloud solutions on Azure and GCP for financial, insurance, and other enterprise clients.
Senior Data & Cloud Engineer designs and maintains cloud data pipelines using ADF, BigQuery, and GCP tools, ensuring high-quality data flows and DevOps/DataOps practices.
Designs, builds, and maintains data platforms and ETL/ELT pipelines on AWS to integrate and process data from multiple sources.
Senior data engineer building scalable ETL/ELT pipelines, optimizing data lakes, and processing large datasets using Python, Scala, Spark, and AWS services.
Lead a team building scalable data pipelines in Snowflake and AWS, implementing ELT workflows and Medallion architecture to ensure high-quality financial data.
Builds and maintains cloud ETL pipelines and analytics for sports and entertainment projects, integrating cloud/on-prem data into scalable warehouses and BI dashboards.
Architect and scale a modern data platform, building ETL/ELT pipelines, optimizing Snowflake schemas, and ensuring data reliability with Python, Airflow/Prefer/Dagster, and CI/CD.
Builds and maintains Snowflake-based ETL/ELT pipelines and data models to power GTM revenue ops, lead routing, and campaign analytics.
Build and maintain data pipelines and BI dashboards on Azure, integrating sources and delivering real-time insights using Power BI, DOMO, Python, and Azure Data Platform tools.
Designs scalable data pipelines and migrates analytics workloads from Redshift to a Databricks Lakehouse on AWS using PySpark and Spark.
Build and optimize cloud data pipelines and databases using Azure SQL, Python, and Airflow to support HR analytics and reporting.
Build and maintain AWS-native data pipelines in Python to onboard client datasets, troubleshoot production workflows, and ensure reliable data flow for AI and fintech clients.
Location: Colombia (Remote/Hybrid) Job Type: Full-time Department: Technology Product Development Support About The Role We are seeking a highly skilled Senior Support Engineer – Cloud & Data Engineering to join…
Build and maintain scalable data pipelines and the Elastic Hierarchy framework using Python, AWS, Snowflake, and DBT to support analytics and ML in a hybrid SaaS/on-premise environment.
Architect and build scalable ETL/ELT pipelines, optimize Snowflake schemas, and enforce data quality for enterprise analytics using Python, Airflow/Prefect/Dagster, and CI/CD.
Designs and scales a modern data platform, building production-grade ETL/ELT pipelines and optimizing Snowflake schemas with DataOps practices.
Build and maintain cloud-based data pipelines and models for a global SAP-focused data platform using Snowflake/Databricks, Python, AWS, dbt, and SQL.
We couldn't check your fit for this role — add a CV to your profile to see it next time.