Company Overview

Bridgenext is a digital consulting services leader that helps clients innovate with intention and realize their digital aspirations by creating digital products, experiences, and solutions around what real people need. Our global consulting and delivery teams facilitate highly strategic digital initiatives through digital product engineering, automation, data engineering, and infrastructure modernization services, while elevating brands through digital experience, creative content, and customer data analytics services.

Don't just work, thrive. At Bridgenext, you have an opportunity to make a real difference - driving tangible business value for clients, while simultaneously propelling your own career growth. Our adaptable and inclusive work culture provides you with the autonomy, resources, and opportunities to succeed.

Position Description

We are looking for a talented and experienced Data Operations Engineer to join our team. Bridgenext is seeking a Data operations engineer with deep expertise in Snowflake and Apache Airflow,



who is also ready to take on infrastructure and operational responsibilities.

You would be working in Central US Business hours, and you would also be part of the team which provides on-call support for high priority production issues.

Key Responsibilities

Data Pipeline & Workflow Management: Design, build, schedule, monitor, and optimize data ingestion and transformation workflows using Apache Airflow, including DAG development, dependency management, retries, and failure handling.
Snowflake Data Warehousing: Support Snowflake development and operations, including data modeling, schema management, performance tuning, warehouse optimization, data loading, and troubleshooting production data issues.
Airflow Operations & Reliability: Maintain, troubleshoot, and enhance Airflow workflows by investigating DAG failures, improving task observability, strengthening alerting, and ensuring reliable pipeline execution during busi

📌 DataOps Engineer (Argentina)
🏢 Bridgenext
📍 Argentina