Senior Data Engineer

Responsibilities

You will lead the evolution of the data stack by building scalable systems for product intelligence, financial reporting, and self-serve analytics. You will collaborate with cross-functional teams to define data architecture, maintain data quality, and promote engineering best practices.

Requirements

The role requires 7+ years of experience in data or analytics engineering with a strong background in SQL, data modeling, and cloud infrastructure. Candidates should possess expertise in ELT processes, orchestration tools, and experience working in fast-paced, cross-functional environments.

Skills

• Data Engineering
• SQL
• Data Modeling
• Snowflake
• DBT
• Airflow
• Prefect
• Airbyte
• Fivetran
• Kafka
• AWS
• Python
• Looker
• Tableau
• Sisense
• Terraform

Benefits

• Privatized Medical, Dental & Vision Coverage
• Supplemental health and wellness benefit
• Work From Home stipend
• Flexible Time Off
• Wellbeing days
• Summer Fridays
• Company Holidays
• Paid Holidays
• Christmas Bonus
• Monthly meal/grocery voucher
• Catered Lunch
• Relocation bonus
• Annual Bonus
• Tuition Reimbursement
• Saving Funds
• Employee Resource Groups

About this role

🚀 Connect with us at TechWeek MX 2026!
Along with submitting your application, we’d love to meet you in person! Join our leadership team on October 27th for our exclusive talk: Securing Trust in Clinical AI Agents.
👉 RSVP on Luma (Limited capacity)
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.
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 burden—empowering solo and small group practitioners to thrive alongside their clients.
Award-winning and people-first, SimplePractice is shaping the future of health tech. Recognized by MedTech Breakthrough, the Digital Health Awards, Best Places to Code in Mexico and Built In's Best Places to Work.
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 Engineer 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 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
Benefits
We offer a competitive benefits program including:
Privatized Medical, Dental & Vision Coverage
Supplemental health and wellness benefit - Modern Health and Vivawell
Work From Home stipend
Flexible Time Off (FTO), wellbeing days, Summer Fridays, and Mid-Year and Year-End Reflect & Recharge (Company Holidays), Paid Holidays
Christmas Bonus ( 15-day aguinaldo )
Monthly meal/grocery voucher via Si Vale card
Catered Lunch
A relocation bonus for candidates joining us from a different city
A...

About SimplePractice

Software Development · 501-1,000 employees · headquartered in Santa Monica, California · founded 2012