Senior Data Engineer

Join our team as a Senior Data Engineer, where you will play a crucial role in shaping the design of scalable and performant data systems. You will collaborate with cross-functional teams to deliver reliable data pipelines for analytics and reporting, optimize ELT workflows, and maintain performant data models in Snowflake.

As a mentor to other engineers and analytics professionals, you will foster knowledge sharing and high standards for quality and consistency.

Responsibilities

• Additionally, you will lead efforts to improve data observability, explore open table formats, and collaborate with DevOps and Cloud teams.
• Servir como un contribuyente técnico senior, ayudando a dar forma al diseño de sistemas de datos escalables y modulares.
• Colaborar con equipos multifuncionales para diseñar y entregar tuberías de datos confiables para análisis y ciencia de datos.
• Desarrollar y optimizar flujos de trabajo ELT utilizando herramientas modernas como Airbyte, Fivetran, dbt y Python.

Requirements

• Comfortable working in Git-based environments with strong CI/CD practices
• Deep experience with SQL and Python for data transformation and automation
• Demonstrated ability to mentor, coach, and collaborate across a multidisciplinary data team
• Familiarity with open data formats and scalable data lakehouse principles (e.g., Iceberg or similar)
• Experience building and operating workflow orchestration tools such as Airflow
• Hands-on experience with modern data stack tools such as dbt, Airbyte, Fivetran, and Snowflake
• Ability to communicate technical concepts effectively to both technical and non-technical audiences
• Strong understanding of cloud technologies, particularly AWS (e.g., S3, Lambda, EC2, IAM)
• 8+ years in data engineering, architecture, or related technical roles working with large-scale data systems
• Knowledge of observability and monitoring frameworks to support data platform health and alerting

Pay

USD 155,000 - 165,000