About Us
SimplePractice is headquartered in Los Angeles, California, but we have team members who work and live across the United States, Dominican Republic, Mexico City, and Ukraine.
We are the world’s leading health practice management software. We build products that help clinicians (e.g., therapists, psychiatrists) run their private practices with ease. At the end of the day, our mission is to empower private practices to thrive.
Our Culture
At SimplePractice, culture is our foundation. It influences the way we work, how we serve our customers, and how we approach accomplishing our mission. We have five core values that we strive to embody every day:
- We think big
- We take simplicity seriously
- We come as we are
- We act with humility
- We are built on trust
Culture is everyone’s responsibility at SimplePractice. Our culture is what drives us to do better for our teammates and customers.
Connection and collaboration are also key to our success. You will work with our talented multi-national teams and have opportunities to participate in onsites in both the US and Mexico.
The Role
We're looking for a Senior Data Engineeer to help lead the evolution of our data stack—from pipelines to platform. In this role, you'll build the infrastructure that powers everything from product intelligence to financial reporting and self-serve analytics in product
Our customers are clinicians in small to mid-sized private practices, and the data you shape will directly help them run more efficient, effective businesses. By enabling accessible insights—from no-show trends to client engagement—you’ll give practitioners the tools to make smarter, faster decisions about how they manage care.
Internally, your work will fuel everything from executive reporting and revenue forecasting to product analytics and AI evaluation loops. You’ll collaborate across Data Analytics, ML, Product, and Engineering teams to build scalable, reliable systems that make data a first-class product at SimplePractice.
Responsibilities- Partner with Product, Analytics and Engineering to build scalable systems that help unlock the value of data from a wide range of sources such as backend databases, event streams, and marketing platforms
- Lead technical vision and architecture with holistic point of view on both short-term and long-term horizons
- Work with analytics to create company wide alignment through standardized metrics across the company
- Work with Product and Engineering teams to support internal use cases such as financial reporting, product analytics and operational metrics
- Enable external use cases like customer-facing dashboard, self-serve analytics, and next best action in product
- Manage the complete data stack from ingestion through data consumption
- Build tools to increase transparency in reporting company wide business outcomes
- Work with DevOps to deploy and maintain data solutions leveraging cloud data technologies, preferably in AWS
- Help define data quality and data security framework to measure and monitor data quality across the enterprise. Define and promote data engineering best practices
Education & Experience
- BS/MS in Engineering, Computer Science, Mathematics, or related field
- 7+ years in Data or Analytics Engineering
- Strong problem-solving and communication skills; comfortable in fast-paced, cross-functional environments
Data Engineering & Pipelines
- Enterprise architecture and enterprise data architecture (data modeling and enterprise dimensional modeling)
- Expert in SQL and data modeling (relational, dimensional, semantic)
- Proven experience in data warehouse design, implementation, and maintenance (Snowflake)
- Hands-on with DBT for modular, testable transformations
- Experience with orchestration and ingestion tools: Airflow, Prefect, Airbyte, Fivetran, Kafka
- Familiar with ELT, schema-on-read, DAGs, and performance optimization
Cloud & Infrastructure
- Experience with AWS (S3, RDS, Redshift, etc.)
- Familiar with Terraform, Docker, and containerized workflows (bonus)
- Skilled in handling structured, semi-structured (e.g., JSON), and columnar formats (e.g., Parquet, ORC)
Analytics & Enablement
- Experience building and supporting semantic layers for self-serve analytics
- Proficient with BI tools like Looker, Tableau, or Sisense
- Comfortable standardizing metrics and enabling trusted, consistent access to data
Programming & Scripting
- Proficient in Python and Unix/Linux scripting
- Comfortable working with APIs (e.g., using curl)
- AWS DevOps - Terraform, Kubernetes, Docker
- Project & Change Management skills especially experience working in an Agile (SCRUM, Kanban) environment/team focusing on sprint by sprint deliveries
- Real-time ETL - Kafka streaming, AWS Kinesi
Base Compensation Range
$146,500 - $179,000
Base salary is one component of total compensation. Employees may also be eligible for an annual bonus or commission. Some roles may also be eligible for overtime pay.
The above represents the expected base compensation range for this job requisition. Ultimately, in determining your pay, we’ll consider many factors including, but not limited to, skills, experience, qualifications, geographic location, and other job-related factors.
Benefits
We offer a competitive benefits program including:
- Medical, dental, vision, life & disability insurance
- 401(k) plan with company match
- Flexible Time Off (FTO), wellbeing days, paid holidays, and summer Fridays
- Mental health resources
- Paid parental leave & Backup Care
- Tuition reimbursement
- Employee Resource Groups (ERGs)
California Job Applicant Privacy Notice
Thank you for your interest in opportunities at SimplePractice LLC (“SimplePractice” or “us” or “we” or “our”). Please note that when you submit your resume or application materials to us for employment purposes, you are subject to the SimplePractice California Job Applicant Privacy Notice.
For more information about our privacy practices, please contact us at [email protected].
