Lead Data Engineer - Build Scalable Data Platform (Hybrid)

SimplePractice; Ciudad de México; Híbrido; MXN 1.755.310 - 2.281.903; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Privatized Medical, Dental & Vision Coverage

Work From Home stipend

Flexible Time Off (FTO)

Monthly Meal Reimbursement

Hybrid Work Schedule & Catered Lunch

Descripción de la vacante

SimplePractice in Mexico City is looking for a Lead Data Engineer to evolve their data stack, enabling insights for clinicians managing care efficiently.

You will collaborate with various teams, manage data systems, and ensure data quality. The ideal candidate has over 7 years of experience in data engineering and proficiency in tools like Snowflake and AWS.

Benefits include flexible time off, medical coverage, and a hybrid work schedule.

Formación

• 7+ years in Data or Analytics Engineering.
• Strong problem-solving and communication skills.
• Experience with AWS (S3, RDS, Redshift, etc.).

Responsabilidades

• Build scalable data systems from various sources.
• Manage the complete data stack from ingestion to consumption.
• Work with DevOps to deploy and maintain data solutions.

Conocimientos

SQL

Data modeling

Python

Analytics

Problem-solving

Educación

BS/MS in Engineering, Computer Science, Mathematics, or related field

Herramientas

Snowflake

Airflow

AWS

Looker

Docker

Descripción del empleo

SimplePractice in Mexico City is looking for a Lead Data Engineer to evolve their data stack, enabling insights for clinicians managing care efficiently.

You will collaborate with various teams, manage data systems, and ensure data quality. The ideal candidate has over 7 years of experience in data engineering and proficiency in tools like Snowflake and AWS.

Benefits include flexible time off, medical coverage, and a hybrid work schedule.