Remote DataOps Engineer: Snowflake + Airflow Expert

Bridgenext; Argentina; A distancia; ARS 1.800.000 - 3.000.000; Jornada completa

Descripción de la vacante

Bridgenext is seeking a Data Operations Engineer to design and operate scalable data pipelines using Snowflake and Apache Airflow. You will own pipeline reliability, monitoring, and on-call rotations, collaborating with platform teams to improve automation and infrastructure as code.

The role emphasizes building robust data workflows, tuning Snowflake performance, and maintaining CI/CD pipelines. Remote work is supported with Central US business hours, and exposure to Kubernetes/ Helm is valued.

Formación

• Snowflake expertise with data loading and performance tuning.
• Proven Airflow developer for DAGs, scheduling and troubleshooting.
• Strong relational DB knowledge (MS SQL, Postgres).
• Exposure to Kafka Connect and Debezium is a plus.

Responsabilidades

• Design, build, schedule, monitor, and optimize data ingestion workflows using Apache Airflow.
• Support Snowflake development, data modeling, schema management, and performance tuning.
• Maintain and improve Airflow reliability, alerting, and pipeline observability.

Conocimientos

Snowflake

Apache Airflow

Databases

Streaming & CDC

Herramientas

GitHub

Terraform

New Relic

Grafana

PagerDuty

Kubernetes

Helm

Descripción del empleo

Bridgenext is seeking a Data Operations Engineer to design and operate scalable data pipelines using Snowflake and Apache Airflow. You will own pipeline reliability, monitoring, and on-call rotations, collaborating with platform teams to improve automation and infrastructure as code.

The role emphasizes building robust data workflows, tuning Snowflake performance, and maintaining CI/CD pipelines. Remote work is supported with Central US business hours, and exposure to Kubernetes/ Helm is valued.