Lead Data Engineer – Platform & Analytics

SimplePractice; Santa Monica (CA); Hybrid; USD 160,000 - 222,000; Full time

Benefits offered by this job

Medical insurance

401(k) match

Flexible PTO

Wellbeing days

Dental insurance

Job summary

SimplePractice is hiring a Lead Data Engineer to guide the evolution of the data stack—from pipelines to platform. You will build infrastructure powering product intelligence, financial reporting, and self-serve analytics for clinicians in private practice.

You'll collaborate with Data Analytics, ML, Product, and Engineering to create scalable, reliable data systems and empower executives with insights, dashboards, and trusted metrics across the company.

Qualifications

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

Responsibilities

• Partner with Product, Analytics and Engineering to build scalable data systems across many sources.
• Define technical vision and architecture for short- and long-term needs.
• Standardize metrics and enable trusted access to data across the company.
• Support internal use cases like financial reporting, product analytics, and operational metrics.
• Enable external use cases: dashboards, self-serve analytics, and action-driven insights.
• Manage data stack from ingestion to consumption; ensure data quality and security.
• Collaborate with DevOps to deploy data solutions on AWS and cloud tech.
• Promote best practices in data engineering across the enterprise.

Skills

SQL

Data Modeling

Snowflake

DBT

Airflow

Airbyte

Kafka

Python

Looker

Tableau

Education

BS/MS in Engineering/CS

Tools

AWS

Terraform

Docker

Job description

SimplePractice is hiring a Lead Data Engineer to guide the evolution of the data stack—from pipelines to platform. You will build infrastructure powering product intelligence, financial reporting, and self-serve analytics for clinicians in private practice.

You'll collaborate with Data Analytics, ML, Product, and Engineering to create scalable, reliable data systems and empower executives with insights, dashboards, and trusted metrics across the company.