Senior Data Platform Engineer – Analytics & AI Enablement

SimplePractice; United States; On-site; USD 160,000 - 222,000; Full time

Benefits offered by this job

Medical, dental, vision, life & disability insurance

401(k) plan with company match

Flexible Time Off (FTO)

Mental health resources

Tuition reimbursement

Job summary

SimplePractice is looking for a Senior Data Engineer to lead the evolution of their data stack, enhancing product analytics and financial reporting. This role requires extensive experience in data engineering, SQL expertise, and strong collaboration skills.

The ideal candidate will manage a comprehensive data environment, ensuring quality and security frameworks while supporting internal and external analytics needs. Competitive pay range of $160,000 to $222,000 annually.

Qualifications

• 7+ years in Data or Analytics Engineering.
• Strong problem‑solving and communication skills; comfortable in fast‑paced, cross‑functional environments.
• Hands‑on with ETL tools for data integration.

Responsibilities

• Partner with Product, Analytics and Engineering to build scalable systems.
• Lead technical vision and architecture for long-term data strategy.
• Define data quality and security frameworks.
• Manage the complete data stack from ingestion to consumption.

Skills

SQL

Data modeling

Python

AWS

DBT

Airflow

Docker

Looker

Agile methodologies

Education

BS/MS in Engineering, Computer Science, Mathematics

Tools

Snowflake

Terraform

Kafka

Tableau

Job description

SimplePractice is looking for a Senior Data Engineer to lead the evolution of their data stack, enhancing product analytics and financial reporting. This role requires extensive experience in data engineering, SQL expertise, and strong collaboration skills.

The ideal candidate will manage a comprehensive data environment, ensuring quality and security frameworks while supporting internal and external analytics needs. Competitive pay range of $160,000 to $222,000 annually.