Senior Data Engineer

Senior Data Engineer

At SimplePractice, we are improving access to quality care by equipping health and wellness clinicians with all the tools they need to thrive in private practice.

More than 250,000 providers trust SimplePractice to build their business through our industry-leading software with powerful tools that simplify every part of practice management. From admin work to clinical care, our suite of innovative solutions work together to reduce administrative burdenempowering solo and small group practitioners to thrive alongside their clients.

Recognized by MedTech Breakthrough as the Best Practice Management Solution Provider in 2024 and the Digital Health Awards in 2023, SimplePractice is proud to pave the future of health tech.

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 Engineer to help lead the evolution of our data stackfrom 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 insightsfrom no-show trends to client engagementyou'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 practice

Desired Skills & Experience

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)

Bonus Points

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 Kinesis

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.

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)