Senior Data Engineer — Build Scalable Data Platform

simplepractice55; Los Angeles (CA); Hybrid; MXN 900,000 - 1,300,000; Full time

Job summary

SimplePractice is seeking a Senior Data Engineer to lead evolution of our data stack, building pipelines and platform powering product intelligence, financial reporting, and self-serve analytics for clinicians in private practice.

You will collaborate across Data Analytics, ML, Product, and Engineering to deliver scalable, reliable data systems that become a first-class product at SimplePractice.

Qualifications

• 7+ years in Data or Analytics Engineering.
• BS/MS in Engineering, Computer Science, Mathematics, or related field.
• Strong problem-solving and communication skills; comfortable in fast-paced, cross-functional environments.

Responsibilities

• Partner with Product, Analytics and Engineering to build scalable systems that unlock data value from diverse sources.
• Lead technical vision and architecture for short and long horizons.
• Standardize metrics and enable trusted, company-wide data access.
• Support internal use cases like financial reporting, product analytics, and operational metrics.
• Enable external use cases like dashboards and self-serve analytics.

Skills

Problem-solving

Communication

Python

Unix/Linux scripting

Cross-functional teamwork

Education

BS/MS in Engineering, CS, Mathematics, or related field

Tools

Snowflake

DBT

Airflow

Airbyte

Fivetran

Kafka

Looker/Tableau/Sisense

SQL & Data Modeling

Terraform

Docker

Job description

SimplePractice is seeking a Senior Data Engineer to lead evolution of our data stack, building pipelines and platform powering product intelligence, financial reporting, and self-serve analytics for clinicians in private practice.

You will collaborate across Data Analytics, ML, Product, and Engineering to deliver scalable, reliable data systems that become a first-class product at SimplePractice.