Remote Data Engineer | Airflow & Python Expert

DCV Technologies; United States; A distancia; USD 120.000 - 180.000; Jornada completa

Descripción de la vacante

DCV Technologies is seeking a Data Engineer specializing in Apache Airflow and Python to help customers build, operate, and optimize data pipelines in a fully remote role.

You will work with customer teams to configure Airflow, develop DAGs, integrate with cloud data warehouses, and troubleshoot production systems while collaborating with internal stakeholders to align on priorities. Strong communication skills and the ability to work independently in a distributed environment are essential.

Formación

• Hands-on Apache Airflow experience with DAG development and scheduling.
• Professional Python development experience.
• Customer-facing data engineering support or advisory experience.
• Ability to troubleshoot distributed systems and production issues.
• Excellent communication and customer-oriented mindset.
• Ability to work independently in a fully remote distributed environment.

Responsabilidades

• Configure Airflow environments for customers and develop DAGs.
• Advise on designing reliable workflows for data teams.
• Assist integration with cloud warehouses and IaC tools.
• Support onboarding and production deployment for customers.
• Diagnose root causes of production issues across distributed systems.
• Provide guidance to maximize platform value for customers.
• Coordinate with internal teams on project scope and priorities.
• Deliver clear technical guidance to customers to optimize use of the platform.

Conocimientos

Airflow DAG development

Python programming

Customer-facing engineering

Troubleshooting distributed systems

Communication skills

Remote work independence

Kubernetes

Managed cloud services

Snowflake and dbt

Terraform

SQL & analytics

Descripción del empleo

DCV Technologies is seeking a Data Engineer specializing in Apache Airflow and Python to help customers build, operate, and optimize data pipelines in a fully remote role.

You will work with customer teams to configure Airflow, develop DAGs, integrate with cloud data warehouses, and troubleshoot production systems while collaborating with internal stakeholders to align on priorities. Strong communication skills and the ability to work independently in a distributed environment are essential.