Senior Data & Insight Engineer — 100% Remote

Nortal; Buenos Aires; Presencial; ARS 134.296.000 - 179.062.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive USD salary

Remote LATAM work

Paid holidays

Sick leave

Annual credit

Team-building activities

Birthday off

Descripción de la vacante

Nortal is hiring a Data and Insight Engineer to join our remote LATAM team. You will build and maintain data pipelines, ensure data quality, and enable AI-driven insights using Python, Airflow, Snowflake, and cloud platforms like AWS and GCP.

Collaboration with US clients and cross-functional teams is key. The role requires a strong background in data collection, transformation, and analytics, plus experience with data platforms such as AEP, Snowflake, and Airflow.

Formación

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 5+ years of experience with Python for data manipulation, scripting, and automation.
• 3+ years of experience with cloud platforms (AWS, GCP, or AEP).
• 2+ years of experience with Artificial Intelligence.
• 2+ years of experience with Airflow and Snowflake.
• Advanced English level for working with US clients.

Responsabilidades

• Collaborate with cross-functional teams to understand data requirements and objectives.
• Develop and maintain efficient data pipelines for data collection, processing and cleaning.
• Utilize your expertise in Python and AI to enhance data processing and analysis capabilities.
• Work with platforms such as AEP, Google Cloud, and AWS to manage and optimize data infrastructure.
• Explore and implement best practices for data quality, integrity, and security.
• Collaborate with stakeholders to identify and address data-related challenges.
• Stay current with industry trends and emerging technologies in data engineering.

Descripción del empleo

Nortal is hiring a Data and Insight Engineer to join our remote LATAM team. You will build and maintain data pipelines, ensure data quality, and enable AI-driven insights using Python, Airflow, Snowflake, and cloud platforms like AWS and GCP.

Collaboration with US clients and cross-functional teams is key. The role requires a strong background in data collection, transformation, and analytics, plus experience with data platforms such as AEP, Snowflake, and Airflow.