Senior Data Engineer - Python, AWS, ML Pipelines

Lever, Inc.; Chile; Presencial; CLP 27.900.000 - 42.408.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible working arrangements

Career growth

Ongoing training

Business travel opportunities

Healthcare and benefits

Descripción de la vacante

Lever, Inc. is seeking a Senior Data Engineer based in Chile to build and operate large-scale data and machine learning pipelines in production. You will work across data engineering, cloud infrastructure, and ML operations to turn models into reliable production workflows.

The role focuses on Python, AWS, ETL, workflow orchestration, and scalable ML infrastructure. You will collaborate with Data Scientists and ML Engineers to productionize forecasting and data-driven solutions while improving

Formación

• Strong Python experience in data engineering and production systems.
• Proven track record building data or ML pipelines in production.
• Hands-on experience with Apache Airflow.
• Experience deploying ML models with AWS SageMaker.
• Experience with AWS Glue and Step Functions.
• Fluent written and spoken English.

Responsabilidades

• Build, maintain, and improve production-grade data and machine learning pipelines supporting forecasting and data-driven decision‑making.
• Develop ETL and data-processing workflows using Python, ensuring they are scalable, reliable, and maintainable.
• Design and orchestrate workflows using technologies such as Apache Airflow and AWS Step Functions.
• Use AWS Glue for data processing, transformation, and pipeline execution.
• Support the deployment and operationalization of machine learning models using AWS SageMaker.
• Work closely with Data Scientists and ML Engineers to move models and analytical solutions reliably into production.
• Monitor pipeline health and performance, troubleshoot production issues, and implement improvements to reliability, scalability, and efficiency.
• Contribute to architectural and technical decisions related to the data platform, ML infrastructure, and production workflows.
• Collaborate effectively with distributed, cross‑functional Agile teams and contribute ideas that improve engineering practices and delivery.

Conocimientos

Python

Data pipelines

Airflow

AWS

ML Pipelines

Production systems

Herramientas

Apache Airflow

AWS Step Functions

AWS Glue

AWS SageMaker

Descripción del empleo

Lever, Inc. is seeking a Senior Data Engineer based in Chile to build and operate large-scale data and machine learning pipelines in production. You will work across data engineering, cloud infrastructure, and ML operations to turn models into reliable production workflows.

The role focuses on Python, AWS, ETL, workflow orchestration, and scalable ML infrastructure. You will collaborate with Data Scientists and ML Engineers to productionize forecasting and data-driven solutions while improving